baltimore_citations
Analysis of Baltimore parking citation data from data.baltimorecity.gov.
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (2.2%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
·
Repository
Analysis of Baltimore parking citation data from data.baltimorecity.gov.
Basic Info
- Host: GitHub
- Owner: jtelszasz
- Default Branch: master
- Size: 5.7 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 11 years ago
· Last pushed over 11 years ago
Metadata Files
Readme
Citation
README.md
Baltimore Parking Citation Analysis
Files in 'raw_data' directory too large for Github. Data can be found at data.baltimorecity.gov.
Owner
- Name: Justin Elszasz
- Login: jtelszasz
- Kind: user
- Location: Baltimore, MD
- Company: @city-of-baltimore
- Website: jtelszasz.github.io
- Twitter: baltdata
- Repositories: 32
- Profile: https://github.com/jtelszasz
Chief Data Officer for Baltimore
Citation (citation_analysis.ipynb)
{
"metadata": {
"name": "",
"signature": "sha256:0905481c461779108a1c900cc3755b67ffb6ed54a1072a7415fa0040aa4f7ef8"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Baltimore Parking/Traffic Citations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This dataset (Baltimore_Parking_Tickets_2015-01-21.csv) downloaded Jan. 21, 2015 approx. 8:30pm. <br>\n",
"\n",
"The dataset on data.baltimorecity.gov is for 2 years rolling, but also contains any records from more than 2 years prior with an outstanding balance. In order to make valid comparisons and metrics, we can only look at the last 2 years since we have all records during that time. This is done after the section header \"Last 2 Years of Data.\"\n",
"\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import numpy\n",
"import plotly.plotly as py\n",
"from plotly.graph_objs import *\n",
"\n",
"red_orange = '#FF3300'\n",
"light_cyan = '#00CCFF'\n",
"gray_light = '#bbbbbb'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 173
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# takes very long time!\n",
"df = pd.read_csv('raw_data/Baltimore_Parking_Citations_2015-03-06.csv',index_col='citation', parse_dates=[10], infer_datetime_format=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"/Users/Justin/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/io/parsers.py:1159: DtypeWarning:\n",
"\n",
"Columns (2) have mixed types. Specify dtype option on import or set low_memory=False.\n",
"\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df['violFine_parsed'] = df['violFine'].str.replace(\"$\",\"\").apply(lambda x: float(x))\n",
"df['openFine_parsed'] = df['openFine'].str.replace(\"$\",\"\").apply(lambda x: float(x))\n",
"df['openPenalty_parsed'] = df['openPenalty'].str.replace(\"$\",\"\").apply(lambda x: float(x))\n",
"df['balance_parsed'] = df['balance'].str.replace(\"$\",\"\").apply(lambda x: float(x))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"len(df)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"1049837"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>balance</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>citation</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>91919465</th>\n",
" <td> XNY3041</td>\n",
" <td> 7</td>\n",
" <td> 15</td>\n",
" <td> DODGE</td>\n",
" <td> VA</td>\n",
" <td> 800 FAYETTE ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 14:08:00</td>\n",
" <td> $52.00</td>\n",
" <td>NaN</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> NaN</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91919457</th>\n",
" <td> 1BL8490</td>\n",
" <td> 4</td>\n",
" <td> 16</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 800 FAYETTE ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 14:06:00</td>\n",
" <td> $52.00</td>\n",
" <td>NaN</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> NaN</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91919440</th>\n",
" <td> CAKZ79</td>\n",
" <td> 12</td>\n",
" <td> 15</td>\n",
" <td> FORD</td>\n",
" <td> FL</td>\n",
" <td> 800 FAYETTE ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 14:05:00</td>\n",
" <td> $52.00</td>\n",
" <td>NaN</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> NaN</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91919432</th>\n",
" <td> 7BG2327</td>\n",
" <td> 2</td>\n",
" <td> 16</td>\n",
" <td> CHRYS</td>\n",
" <td> MD</td>\n",
" <td> 700 FAYETTE ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 14:01:00</td>\n",
" <td> $52.00</td>\n",
" <td>NaN</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> NaN</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91919424</th>\n",
" <td> 13842388</td>\n",
" <td> 2</td>\n",
" <td> 15</td>\n",
" <td> INFIN</td>\n",
" <td> GA</td>\n",
" <td> 300 FREMONT AVE</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:55:00</td>\n",
" <td> $52.00</td>\n",
" <td>NaN</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> NaN</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
" tag expmm expyy make state location violCode \\\n",
"citation \n",
"91919465 XNY3041 7 15 DODGE VA 800 FAYETTE ST 11 \n",
"91919457 1BL8490 4 16 HONDA MD 800 FAYETTE ST 11 \n",
"91919440 CAKZ79 12 15 FORD FL 800 FAYETTE ST 11 \n",
"91919432 7BG2327 2 16 CHRYS MD 700 FAYETTE ST 11 \n",
"91919424 13842388 2 15 INFIN GA 300 FREMONT AVE 11 \n",
"\n",
" Description violFine violDate \\\n",
"citation \n",
"91919465 Residential Parking Permit Only $52.00 2015-01-20 14:08:00 \n",
"91919457 Residential Parking Permit Only $52.00 2015-01-20 14:06:00 \n",
"91919440 Residential Parking Permit Only $52.00 2015-01-20 14:05:00 \n",
"91919432 Residential Parking Permit Only $52.00 2015-01-20 14:01:00 \n",
"91919424 Residential Parking Permit Only $52.00 2015-01-20 13:55:00 \n",
"\n",
" balance penaltyDate openFine openPenalty noticeDate \\\n",
"citation \n",
"91919465 $52.00 NaN $52.00 $0.00 NaN \n",
"91919457 $52.00 NaN $52.00 $0.00 NaN \n",
"91919440 $52.00 NaN $52.00 $0.00 NaN \n",
"91919432 $52.00 NaN $52.00 $0.00 NaN \n",
"91919424 $52.00 NaN $52.00 $0.00 NaN \n",
"\n",
" ImportDate violFine_parsed openFine_parsed \\\n",
"citation \n",
"91919465 01/21/2015 12:02:00 PM +0000 52 52 \n",
"91919457 01/21/2015 12:02:00 PM +0000 52 52 \n",
"91919440 01/21/2015 12:02:00 PM +0000 52 52 \n",
"91919432 01/21/2015 12:02:00 PM +0000 52 52 \n",
"91919424 01/21/2015 12:02:00 PM +0000 52 52 \n",
"\n",
" openPenalty_parsed balance_parsed \n",
"citation \n",
"91919465 0 52 \n",
"91919457 0 52 \n",
"91919440 0 52 \n",
"91919432 0 52 \n",
"91919424 0 52 "
]
}
],
"prompt_number": 5
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"By Citation Type (Full Dataset)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"groupby_desc = df.groupby('Description')\n",
"\n",
"citation_desc = pd.DataFrame()\n",
"\n",
"# Total fines for each citation type\n",
"citation_desc['fines'] = groupby_desc['violFine_parsed'].sum()\n",
"\n",
"# Number of unique locations each citation type was issued at\n",
"citation_desc['unique_locs'] = groupby_desc['location'].nunique()\n",
"\n",
"# Fine type concentration by location\n",
"citation_desc['fine_conc_loc'] = (citation_desc['fines'] / citation_desc['unique_locs']).apply(lambda x: round(x,2))\n",
"\n",
"citation_desc.sort('fines',inplace=True,ascending=False)\n",
"\n",
"citation_desc['first_date'] = ''\n",
"citation_desc['last_date'] = ''\n",
"for row in citation_desc.index:\n",
" # First issue date for each citation type\n",
" citation_desc['first_date'].ix[row] = min(groupby_desc['violDate'].get_group(row))\n",
" # Last issue date for each citation type\n",
" citation_desc['last_date'].ix[row] = max(groupby_desc['violDate'].get_group(row))\n",
"# Total date range in years for each citation type\n",
"citation_desc['date_range_years'] = (citation_desc['last_date'] - citation_desc['first_date']).astype('timedelta64[D]')/365. \n",
"# Fines per year for each citation type\n",
"citation_desc['fines_annual'] = citation_desc['fines']/citation_desc['date_range_years']\n",
"\n",
"citation_desc.head()\n",
"#citation_desc.to_csv('citation_desc_date_range_new.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"/Users/Justin/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/indexing.py:121: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self._setitem_with_indexer(indexer, value)\n"
]
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fines</th>\n",
" <th>unique_locs</th>\n",
" <th>fine_conc_loc</th>\n",
" <th>first_date</th>\n",
" <th>last_date</th>\n",
" <th>date_range_years</th>\n",
" <th>fines_annual</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Description</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Red Light Violation</th>\n",
" <td> 6708000</td>\n",
" <td> 162</td>\n",
" <td> 41407.41</td>\n",
" <td>2002-11-08 12:27:00</td>\n",
" <td>2013-04-01 21:23:00</td>\n",
" <td> 10.402740</td>\n",
" <td> 644830.129049</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All Other Parking Meter Violations</th>\n",
" <td> 6637646</td>\n",
" <td> 8012</td>\n",
" <td> 828.46</td>\n",
" <td>2004-06-12 10:44:00</td>\n",
" <td>2015-01-20 13:45:00</td>\n",
" <td> 10.613699</td>\n",
" <td> 625384.819308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fixed Speed Camera</th>\n",
" <td> 5773840</td>\n",
" <td> 91</td>\n",
" <td> 63448.79</td>\n",
" <td>2009-11-02 09:30:00</td>\n",
" <td>2012-12-31 14:09:00</td>\n",
" <td> 3.164384</td>\n",
" <td> 1824633.419913</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Park Street Cleaning</th>\n",
" <td> 4840482</td>\n",
" <td> 9501</td>\n",
" <td> 509.47</td>\n",
" <td>2004-09-30 09:02:00</td>\n",
" <td>2015-01-20 13:36:00</td>\n",
" <td> 10.312329</td>\n",
" <td> 469387.866631</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Tow Away Zone</th>\n",
" <td> 3251300</td>\n",
" <td> 6912</td>\n",
" <td> 470.38</td>\n",
" <td>2004-10-23 17:15:00</td>\n",
" <td>2015-01-20 13:50:00</td>\n",
" <td> 10.246575</td>\n",
" <td> 317306.016043</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
" fines unique_locs fine_conc_loc \\\n",
"Description \n",
"Red Light Violation 6708000 162 41407.41 \n",
"All Other Parking Meter Violations 6637646 8012 828.46 \n",
"Fixed Speed Camera 5773840 91 63448.79 \n",
"No Stop/Park Street Cleaning 4840482 9501 509.47 \n",
"No Stopping/Standing Tow Away Zone 3251300 6912 470.38 \n",
"\n",
" first_date last_date \\\n",
"Description \n",
"Red Light Violation 2002-11-08 12:27:00 2013-04-01 21:23:00 \n",
"All Other Parking Meter Violations 2004-06-12 10:44:00 2015-01-20 13:45:00 \n",
"Fixed Speed Camera 2009-11-02 09:30:00 2012-12-31 14:09:00 \n",
"No Stop/Park Street Cleaning 2004-09-30 09:02:00 2015-01-20 13:36:00 \n",
"No Stopping/Standing Tow Away Zone 2004-10-23 17:15:00 2015-01-20 13:50:00 \n",
"\n",
" date_range_years fines_annual \n",
"Description \n",
"Red Light Violation 10.402740 644830.129049 \n",
"All Other Parking Meter Violations 10.613699 625384.819308 \n",
"Fixed Speed Camera 3.164384 1824633.419913 \n",
"No Stop/Park Street Cleaning 10.312329 469387.866631 \n",
"No Stopping/Standing Tow Away Zone 10.246575 317306.016043 "
]
}
],
"prompt_number": 6
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Time Series"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# takes a long time!\n",
"df_time = df.fillna(0).set_index(df['violDate'])\n",
"# takes a long time!\n",
"df_time['ImportDate_parsed'] = pd.to_datetime(df_time['ImportDate'])\n",
"df_time.sort(inplace=True)\n",
"df_time.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>...</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>violDate</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2002-11-08 12:27:00</th>\n",
" <td> KZW022</td>\n",
" <td> 09</td>\n",
" <td> 4</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> PARK HGTS @ VIOLET AVE.</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2002-11-08 12:27:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $75.00</td>\n",
" <td> $0.00</td>\n",
" <td> 12/16/2002</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 75</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-01-15 19:50:00</th>\n",
" <td> LCK831</td>\n",
" <td> 01</td>\n",
" <td> 6</td>\n",
" <td> CHEV</td>\n",
" <td> MD</td>\n",
" <td> EDMONDSON @ ATHOL / WOODRIDGE</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2004-01-15 19:50:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $75.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/24/2004</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 75</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-02-29 14:12:00</th>\n",
" <td> LSN017</td>\n",
" <td> 08</td>\n",
" <td> 5</td>\n",
" <td> OTHER</td>\n",
" <td> MD</td>\n",
" <td> RUSSELL (NB) @ HAMBURG ST.</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2004-02-29 14:12:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $25.00</td>\n",
" <td> $25.00</td>\n",
" <td> 04/29/2004</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 25</td>\n",
" <td> 25</td>\n",
" <td> 50</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-03-04 19:03:00</th>\n",
" <td> MGC390</td>\n",
" <td> 01</td>\n",
" <td> 6</td>\n",
" <td> OTHER</td>\n",
" <td> MD</td>\n",
" <td> NORTHERN PARKWAY @ FALLS RD.</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2004-03-04 19:03:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $75.00</td>\n",
" <td> $0.00</td>\n",
" <td> 04/29/2004</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 75</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2004-03-31 12:16:00</th>\n",
" <td> MLG502</td>\n",
" <td> 02</td>\n",
" <td> 6</td>\n",
" <td> 0</td>\n",
" <td> MD</td>\n",
" <td> FRANKLIN ST. @ CATHEDRAL STREE</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2004-03-31 12:16:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $75.00</td>\n",
" <td> $25.00</td>\n",
" <td> 06/14/2004</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 75</td>\n",
" <td> 25</td>\n",
" <td> 100</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows \u00d7 21 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
" tag expmm expyy make state \\\n",
"violDate \n",
"2002-11-08 12:27:00 KZW022 09 4 TOYOT MD \n",
"2004-01-15 19:50:00 LCK831 01 6 CHEV MD \n",
"2004-02-29 14:12:00 LSN017 08 5 OTHER MD \n",
"2004-03-04 19:03:00 MGC390 01 6 OTHER MD \n",
"2004-03-31 12:16:00 MLG502 02 6 0 MD \n",
"\n",
" location violCode \\\n",
"violDate \n",
"2002-11-08 12:27:00 PARK HGTS @ VIOLET AVE. 30 \n",
"2004-01-15 19:50:00 EDMONDSON @ ATHOL / WOODRIDGE 30 \n",
"2004-02-29 14:12:00 RUSSELL (NB) @ HAMBURG ST. 30 \n",
"2004-03-04 19:03:00 NORTHERN PARKWAY @ FALLS RD. 30 \n",
"2004-03-31 12:16:00 FRANKLIN ST. @ CATHEDRAL STREE 30 \n",
"\n",
" Description violFine violDate \\\n",
"violDate \n",
"2002-11-08 12:27:00 Red Light Violation $75.00 2002-11-08 12:27:00 \n",
"2004-01-15 19:50:00 Red Light Violation $75.00 2004-01-15 19:50:00 \n",
"2004-02-29 14:12:00 Red Light Violation $75.00 2004-02-29 14:12:00 \n",
"2004-03-04 19:03:00 Red Light Violation $75.00 2004-03-04 19:03:00 \n",
"2004-03-31 12:16:00 Red Light Violation $75.00 2004-03-31 12:16:00 \n",
"\n",
" ... penaltyDate openFine openPenalty \\\n",
"violDate ... \n",
"2002-11-08 12:27:00 ... 0 $75.00 $0.00 \n",
"2004-01-15 19:50:00 ... 0 $75.00 $0.00 \n",
"2004-02-29 14:12:00 ... 0 $25.00 $25.00 \n",
"2004-03-04 19:03:00 ... 0 $75.00 $0.00 \n",
"2004-03-31 12:16:00 ... 0 $75.00 $25.00 \n",
"\n",
" noticeDate ImportDate violFine_parsed \\\n",
"violDate \n",
"2002-11-08 12:27:00 12/16/2002 05/07/2013 05:41:00 PM +0000 75 \n",
"2004-01-15 19:50:00 02/24/2004 05/07/2013 05:41:00 PM +0000 75 \n",
"2004-02-29 14:12:00 04/29/2004 05/07/2013 05:41:00 PM +0000 75 \n",
"2004-03-04 19:03:00 04/29/2004 05/07/2013 05:41:00 PM +0000 75 \n",
"2004-03-31 12:16:00 06/14/2004 05/07/2013 05:41:00 PM +0000 75 \n",
"\n",
" openFine_parsed openPenalty_parsed balance_parsed \\\n",
"violDate \n",
"2002-11-08 12:27:00 75 0 75 \n",
"2004-01-15 19:50:00 75 0 75 \n",
"2004-02-29 14:12:00 25 25 50 \n",
"2004-03-04 19:03:00 75 0 75 \n",
"2004-03-31 12:16:00 75 25 100 \n",
"\n",
" ImportDate_parsed \n",
"violDate \n",
"2002-11-08 12:27:00 2013-05-07 17:41:00 \n",
"2004-01-15 19:50:00 2013-05-07 17:41:00 \n",
"2004-02-29 14:12:00 2013-05-07 17:41:00 \n",
"2004-03-04 19:03:00 2013-05-07 17:41:00 \n",
"2004-03-31 12:16:00 2013-05-07 17:41:00 \n",
"\n",
"[5 rows x 21 columns]"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Monthly totals for all citations\n",
"df_time['violFine'].resample('M',how='count').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 173,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1b53a68d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
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"text": [
"<matplotlib.figure.Figure at 0x1b53a64d0>"
]
}
],
"prompt_number": 173
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot top 10 infraction types over time\n",
"\n",
"fig = plt.figure(figsize=[10,8])\n",
"for key in citation_desc[:10].index:\n",
" #print key\n",
" df_time['violFine_parsed'][df_time['Description']==key].resample('M', how='count').plot(label=key,grid='off')\n",
"\n",
"xlabel('')\n",
"ylabel('Number of Citations')\n",
"legend(loc='upper left')\n",
"\n",
"#fig.savefig('Top 10 Monthly Citation Plot 2015-01-21.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 24,
"text": [
"<matplotlib.legend.Legend at 0x11b995a50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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WrVrFsmXLSExMJC4uDm9vb8aNG0dqairt2rXTA7Ps7Gx69+5NYGAgFy5cYOXK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\nD08acrhWRkbmP0NqqnCdPv30Ua/kzigU0LRpmQlgjzX16gknc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fVrTGg6gfkXblDNYMFz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EWut4iRDij0KIQ0KIN4QQRWn3/IcQolEI0SCE+Fza8T8IIT6w8toghPhreVnLeZNhfddZx+qt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\n6tSPBQAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11b989d10>"
]
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Monthly mobile speed cameras\n",
"df_time['violCode'][df_time['Description']=='Mobile Speed Camera'].resample('M',how='count').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 124,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x112fa6e90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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s+/K551QHD/Z//rJlqp07b9334mbeGO5HrjkKGAYcJyJveD+DgRuBk0RkLnC8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\nX71adccdVRsb3f5116mOGRO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"text": [
"<matplotlib.figure.Figure at 0x11a491790>"
]
}
],
"prompt_number": 124
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Total value of fines issued in database before January 21, 2013\n",
"df_time['violFine_parsed'][df_time.index <= pd.to_datetime('21-jan-2013')].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 50,
"text": [
"23873386.0"
]
}
],
"prompt_number": 50
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time[(df_time.index <= pd.to_datetime('21-jan-2013')) & (df_time['balance_parsed']==0)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>...</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>violDate</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2012-09-11 11:28:00</th>\n",
" <td> 7AP9379</td>\n",
" <td> 05</td>\n",
" <td> 13</td>\n",
" <td> HOND</td>\n",
" <td> MD</td>\n",
" <td> 2600 BLOCK OF GWYNNS FALLS PKW</td>\n",
" <td> 32</td>\n",
" <td> Fixed Speed Camera</td>\n",
" <td> $40.00</td>\n",
" <td>2012-09-11 11:28:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 10/15/2012</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 40</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-08-19 16:27:00</th>\n",
" <td> HWA3647</td>\n",
" <td> 02</td>\n",
" <td> 2</td>\n",
" <td> HYUND</td>\n",
" <td> PA</td>\n",
" <td> PULASKI EB @ NORTH POINT</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2012-08-19 16:27:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 01/28/2013</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-08-18 12:02:00</th>\n",
" <td> 01T683</td>\n",
" <td> 10</td>\n",
" <td> 14</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> NORTHERN PKWY @ SPRINGLAKE WB</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2012-08-18 12:02:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 09/26/2012</td>\n",
" <td> 06/26/2014 11:01:00 AM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-06-26 11:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-04-22 18:40:00</th>\n",
" <td> 8GAL75</td>\n",
" <td> 04</td>\n",
" <td> 14</td>\n",
" <td> SUZI</td>\n",
" <td> MD</td>\n",
" <td> EDMONSON AVE EB @ HILTON ST</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2012-04-22 18:40:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 08/28/2012</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012-03-27 21:29:00</th>\n",
" <td> HLN4766</td>\n",
" <td> 06</td>\n",
" <td> 12</td>\n",
" <td> CHEV</td>\n",
" <td> PA</td>\n",
" <td> 4100 HILLEN RD</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2012-03-27 21:29:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-12-29 13:03:00</th>\n",
" <td> 1AD9902</td>\n",
" <td> 11</td>\n",
" <td> 12</td>\n",
" <td> HYUN</td>\n",
" <td> MD</td>\n",
" <td> 1600 FLEET ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2011-12-29 13:03:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-12-18 16:34:00</th>\n",
" <td> DY1893</td>\n",
" <td> 10</td>\n",
" <td> 12</td>\n",
" <td> ISU</td>\n",
" <td> DC</td>\n",
" <td> MLK BLVD NB @ WASHINGTON BLVD</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2011-12-18 16:34:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/03/2012</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-11-12 22:54:00</th>\n",
" <td> JH1919</td>\n",
" <td> 04</td>\n",
" <td> 15</td>\n",
" <td> MERZ</td>\n",
" <td> MD</td>\n",
" <td> NORTH AVE WB @ HOWARD ST</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2011-11-12 22:54:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 12/14/2011</td>\n",
" <td> 12/27/2013 12:02:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-12-27 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-10-31 16:45:00</th>\n",
" <td> 8GAL75</td>\n",
" <td> 04</td>\n",
" <td> 14</td>\n",
" <td> SUZI</td>\n",
" <td> MD</td>\n",
" <td> PRESIDENT ST SB @ FAYETTE ST</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2011-10-31 16:45:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 08/28/2012</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-08-26 09:17:00</th>\n",
" <td> 1DCN13</td>\n",
" <td> 02</td>\n",
" <td> 12</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 3900 BENZINGER ROAD</td>\n",
" <td> 5</td>\n",
" <td> Obstruct/Impeding Movement of Pedestrian</td>\n",
" <td> $77.00</td>\n",
" <td>2011-08-26 09:17:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 04/18/2012</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 77</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-04-26 10:51:00</th>\n",
" <td> 27933M5</td>\n",
" <td> 12</td>\n",
" <td> 15</td>\n",
" <td> PONT</td>\n",
" <td> MD</td>\n",
" <td> 7000 REISTERSTOWN RD. S/B</td>\n",
" <td> 32</td>\n",
" <td> Fixed Speed Camera</td>\n",
" <td> $40.00</td>\n",
" <td>2011-04-26 10:51:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 05/25/2011</td>\n",
" <td> 08/28/2014 11:03:00 AM +0000</td>\n",
" <td> 40</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-08-28 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-04-19 18:19:00</th>\n",
" <td> 4AE3717</td>\n",
" <td> 01</td>\n",
" <td> 13</td>\n",
" <td> HOND</td>\n",
" <td> MD</td>\n",
" <td> 6114 HARFORD ROAD N/B</td>\n",
" <td> 32</td>\n",
" <td> Fixed Speed Camera</td>\n",
" <td> $40.00</td>\n",
" <td>2011-04-19 18:19:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 05/19/2011</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 40</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-06-13 19:26:00</th>\n",
" <td> ECH4208</td>\n",
" <td> 06</td>\n",
" <td> 10</td>\n",
" <td> TOYT</td>\n",
" <td> OH</td>\n",
" <td> PULASKI EB @ NORTH POINT</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2010-06-13 19:26:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 11/01/2010</td>\n",
" <td> 01/28/2014 12:02:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-01-28 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2009-09-04 17:45:00</th>\n",
" <td> HPF210</td>\n",
" <td> 04</td>\n",
" <td> 16</td>\n",
" <td> KIA</td>\n",
" <td> MD</td>\n",
" <td> COLD SPRING WB @ LOCH RAVEN</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2009-09-04 17:45:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 10/21/2009</td>\n",
" <td> 12/26/2014 12:02:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-12-26 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2008-12-04 20:55:00</th>\n",
" <td> DRSMITH</td>\n",
" <td> 05</td>\n",
" <td> 13</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> PULASKI EB @ NORTH POINT</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2008-12-04 20:55:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 06/23/2010</td>\n",
" <td> 06/06/2013 11:02:00 AM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-06-06 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2008-07-27 19:44:00</th>\n",
" <td> 3BCD91</td>\n",
" <td> 10</td>\n",
" <td> 9</td>\n",
" <td> BUIC</td>\n",
" <td> MD</td>\n",
" <td> REISTERTOWN SB @ DRUID PARK</td>\n",
" <td> 30</td>\n",
" <td> Red Light Violation</td>\n",
" <td> $75.00</td>\n",
" <td>2008-07-27 19:44:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 08/20/2008</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 75</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>16 rows \u00d7 21 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 47,
"text": [
" tag expmm expyy make state \\\n",
"violDate \n",
"2012-09-11 11:28:00 7AP9379 05 13 HOND MD \n",
"2012-08-19 16:27:00 HWA3647 02 2 HYUND PA \n",
"2012-08-18 12:02:00 01T683 10 14 FORD MD \n",
"2012-04-22 18:40:00 8GAL75 04 14 SUZI MD \n",
"2012-03-27 21:29:00 HLN4766 06 12 CHEV PA \n",
"2011-12-29 13:03:00 1AD9902 11 12 HYUN MD \n",
"2011-12-18 16:34:00 DY1893 10 12 ISU DC \n",
"2011-11-12 22:54:00 JH1919 04 15 MERZ MD \n",
"2011-10-31 16:45:00 8GAL75 04 14 SUZI MD \n",
"2011-08-26 09:17:00 1DCN13 02 12 FORD MD \n",
"2011-04-26 10:51:00 27933M5 12 15 PONT MD \n",
"2011-04-19 18:19:00 4AE3717 01 13 HOND MD \n",
"2010-06-13 19:26:00 ECH4208 06 10 TOYT OH \n",
"2009-09-04 17:45:00 HPF210 04 16 KIA MD \n",
"2008-12-04 20:55:00 DRSMITH 05 13 FORD MD \n",
"2008-07-27 19:44:00 3BCD91 10 9 BUIC MD \n",
"\n",
" location violCode \\\n",
"violDate \n",
"2012-09-11 11:28:00 2600 BLOCK OF GWYNNS FALLS PKW 32 \n",
"2012-08-19 16:27:00 PULASKI EB @ NORTH POINT 30 \n",
"2012-08-18 12:02:00 NORTHERN PKWY @ SPRINGLAKE WB 30 \n",
"2012-04-22 18:40:00 EDMONSON AVE EB @ HILTON ST 30 \n",
"2012-03-27 21:29:00 4100 HILLEN RD 12 \n",
"2011-12-29 13:03:00 1600 FLEET ST 18 \n",
"2011-12-18 16:34:00 MLK BLVD NB @ WASHINGTON BLVD 30 \n",
"2011-11-12 22:54:00 NORTH AVE WB @ HOWARD ST 30 \n",
"2011-10-31 16:45:00 PRESIDENT ST SB @ FAYETTE ST 30 \n",
"2011-08-26 09:17:00 3900 BENZINGER ROAD 5 \n",
"2011-04-26 10:51:00 7000 REISTERSTOWN RD. S/B 32 \n",
"2011-04-19 18:19:00 6114 HARFORD ROAD N/B 32 \n",
"2010-06-13 19:26:00 PULASKI EB @ NORTH POINT 30 \n",
"2009-09-04 17:45:00 COLD SPRING WB @ LOCH RAVEN 30 \n",
"2008-12-04 20:55:00 PULASKI EB @ NORTH POINT 30 \n",
"2008-07-27 19:44:00 REISTERTOWN SB @ DRUID PARK 30 \n",
"\n",
" Description violFine \\\n",
"violDate \n",
"2012-09-11 11:28:00 Fixed Speed Camera $40.00 \n",
"2012-08-19 16:27:00 Red Light Violation $75.00 \n",
"2012-08-18 12:02:00 Red Light Violation $75.00 \n",
"2012-04-22 18:40:00 Red Light Violation $75.00 \n",
"2012-03-27 21:29:00 No Stopping/Standing Not Tow-Away Zone $32.00 \n",
"2011-12-29 13:03:00 All Other Parking Meter Violations $32.00 \n",
"2011-12-18 16:34:00 Red Light Violation $75.00 \n",
"2011-11-12 22:54:00 Red Light Violation $75.00 \n",
"2011-10-31 16:45:00 Red Light Violation $75.00 \n",
"2011-08-26 09:17:00 Obstruct/Impeding Movement of Pedestrian $77.00 \n",
"2011-04-26 10:51:00 Fixed Speed Camera $40.00 \n",
"2011-04-19 18:19:00 Fixed Speed Camera $40.00 \n",
"2010-06-13 19:26:00 Red Light Violation $75.00 \n",
"2009-09-04 17:45:00 Red Light Violation $75.00 \n",
"2008-12-04 20:55:00 Red Light Violation $75.00 \n",
"2008-07-27 19:44:00 Red Light Violation $75.00 \n",
"\n",
" violDate ... penaltyDate \\\n",
"violDate ... \n",
"2012-09-11 11:28:00 2012-09-11 11:28:00 ... 0 \n",
"2012-08-19 16:27:00 2012-08-19 16:27:00 ... 0 \n",
"2012-08-18 12:02:00 2012-08-18 12:02:00 ... 0 \n",
"2012-04-22 18:40:00 2012-04-22 18:40:00 ... 0 \n",
"2012-03-27 21:29:00 2012-03-27 21:29:00 ... 0 \n",
"2011-12-29 13:03:00 2011-12-29 13:03:00 ... 0 \n",
"2011-12-18 16:34:00 2011-12-18 16:34:00 ... 0 \n",
"2011-11-12 22:54:00 2011-11-12 22:54:00 ... 0 \n",
"2011-10-31 16:45:00 2011-10-31 16:45:00 ... 0 \n",
"2011-08-26 09:17:00 2011-08-26 09:17:00 ... 0 \n",
"2011-04-26 10:51:00 2011-04-26 10:51:00 ... 0 \n",
"2011-04-19 18:19:00 2011-04-19 18:19:00 ... 0 \n",
"2010-06-13 19:26:00 2010-06-13 19:26:00 ... 0 \n",
"2009-09-04 17:45:00 2009-09-04 17:45:00 ... 0 \n",
"2008-12-04 20:55:00 2008-12-04 20:55:00 ... 0 \n",
"2008-07-27 19:44:00 2008-07-27 19:44:00 ... 0 \n",
"\n",
" openFine openPenalty noticeDate \\\n",
"violDate \n",
"2012-09-11 11:28:00 $0.00 $0.00 10/15/2012 \n",
"2012-08-19 16:27:00 $0.00 $0.00 01/28/2013 \n",
"2012-08-18 12:02:00 $0.00 $0.00 09/26/2012 \n",
"2012-04-22 18:40:00 $0.00 $0.00 08/28/2012 \n",
"2012-03-27 21:29:00 $0.00 $0.00 0 \n",
"2011-12-29 13:03:00 $0.00 $0.00 0 \n",
"2011-12-18 16:34:00 $0.00 $0.00 02/03/2012 \n",
"2011-11-12 22:54:00 $0.00 $0.00 12/14/2011 \n",
"2011-10-31 16:45:00 $0.00 $0.00 08/28/2012 \n",
"2011-08-26 09:17:00 $0.00 $0.00 04/18/2012 \n",
"2011-04-26 10:51:00 $0.00 $0.00 05/25/2011 \n",
"2011-04-19 18:19:00 $0.00 $0.00 05/19/2011 \n",
"2010-06-13 19:26:00 $0.00 $0.00 11/01/2010 \n",
"2009-09-04 17:45:00 $0.00 $0.00 10/21/2009 \n",
"2008-12-04 20:55:00 $0.00 $0.00 06/23/2010 \n",
"2008-07-27 19:44:00 $0.00 $0.00 08/20/2008 \n",
"\n",
" ImportDate violFine_parsed \\\n",
"violDate \n",
"2012-09-11 11:28:00 05/07/2013 05:41:00 PM +0000 40 \n",
"2012-08-19 16:27:00 05/07/2013 05:41:00 PM +0000 75 \n",
"2012-08-18 12:02:00 06/26/2014 11:01:00 AM +0000 75 \n",
"2012-04-22 18:40:00 05/07/2013 05:41:00 PM +0000 75 \n",
"2012-03-27 21:29:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2011-12-29 13:03:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2011-12-18 16:34:00 05/07/2013 05:41:00 PM +0000 75 \n",
"2011-11-12 22:54:00 12/27/2013 12:02:00 PM +0000 75 \n",
"2011-10-31 16:45:00 05/07/2013 05:41:00 PM +0000 75 \n",
"2011-08-26 09:17:00 05/07/2013 05:41:00 PM +0000 77 \n",
"2011-04-26 10:51:00 08/28/2014 11:03:00 AM +0000 40 \n",
"2011-04-19 18:19:00 05/07/2013 05:41:00 PM +0000 40 \n",
"2010-06-13 19:26:00 01/28/2014 12:02:00 PM +0000 75 \n",
"2009-09-04 17:45:00 12/26/2014 12:02:00 PM +0000 75 \n",
"2008-12-04 20:55:00 06/06/2013 11:02:00 AM +0000 75 \n",
"2008-07-27 19:44:00 05/07/2013 05:41:00 PM +0000 75 \n",
"\n",
" openFine_parsed openPenalty_parsed balance_parsed \\\n",
"violDate \n",
"2012-09-11 11:28:00 0 0 0 \n",
"2012-08-19 16:27:00 0 0 0 \n",
"2012-08-18 12:02:00 0 0 0 \n",
"2012-04-22 18:40:00 0 0 0 \n",
"2012-03-27 21:29:00 0 0 0 \n",
"2011-12-29 13:03:00 0 0 0 \n",
"2011-12-18 16:34:00 0 0 0 \n",
"2011-11-12 22:54:00 0 0 0 \n",
"2011-10-31 16:45:00 0 0 0 \n",
"2011-08-26 09:17:00 0 0 0 \n",
"2011-04-26 10:51:00 0 0 0 \n",
"2011-04-19 18:19:00 0 0 0 \n",
"2010-06-13 19:26:00 0 0 0 \n",
"2009-09-04 17:45:00 0 0 0 \n",
"2008-12-04 20:55:00 0 0 0 \n",
"2008-07-27 19:44:00 0 0 0 \n",
"\n",
" ImportDate_parsed \n",
"violDate \n",
"2012-09-11 11:28:00 2013-05-07 17:41:00 \n",
"2012-08-19 16:27:00 2013-05-07 17:41:00 \n",
"2012-08-18 12:02:00 2014-06-26 11:01:00 \n",
"2012-04-22 18:40:00 2013-05-07 17:41:00 \n",
"2012-03-27 21:29:00 2013-05-07 17:41:00 \n",
"2011-12-29 13:03:00 2013-05-07 17:41:00 \n",
"2011-12-18 16:34:00 2013-05-07 17:41:00 \n",
"2011-11-12 22:54:00 2013-12-27 12:02:00 \n",
"2011-10-31 16:45:00 2013-05-07 17:41:00 \n",
"2011-08-26 09:17:00 2013-05-07 17:41:00 \n",
"2011-04-26 10:51:00 2014-08-28 11:03:00 \n",
"2011-04-19 18:19:00 2013-05-07 17:41:00 \n",
"2010-06-13 19:26:00 2014-01-28 12:02:00 \n",
"2009-09-04 17:45:00 2014-12-26 12:02:00 \n",
"2008-12-04 20:55:00 2013-06-06 11:02:00 \n",
"2008-07-27 19:44:00 2013-05-07 17:41:00 \n",
"\n",
"[16 rows x 21 columns]"
]
}
],
"prompt_number": 47
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time[(df_time['ImportDate_parsed'] <= pd.to_datetime('21-jan-2013')) & (df_time['balance_parsed']==0)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>...</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>violDate</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"<p>0 rows \u00d7 21 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 36,
"text": [
"Empty DataFrame\n",
"Columns: [tag, expmm, expyy, make, state, location, violCode, Description, violFine, violDate, balance, penaltyDate, openFine, openPenalty, noticeDate, ImportDate, violFine_parsed, openFine_parsed, openPenalty_parsed, balance_parsed, ImportDate_parsed]\n",
"Index: []\n",
"\n",
"[0 rows x 21 columns]"
]
}
],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_rec = df_time.ix['21-jan-2013':'21-jan-2015']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 86
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"total_balance = df_time['balance_parsed'].sum()\n",
"total_fines = df_time['violFine_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()\n",
"total_pen = df_time['openPenalty_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 55
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 55
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print total_balance, total_fines, total_pen"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"122457404.0 24098830.0 12539524.0\n"
]
}
],
"prompt_number": 56
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"total_fines+total_pen"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 50,
"text": [
"36638354.0"
]
}
],
"prompt_number": 50
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"(total_fines+total_pen)/total_balance"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 51,
"text": [
"1.8252984377453603"
]
}
],
"prompt_number": 51
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"total_pen/total_balance"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 52,
"text": [
"0.62471074894004386"
]
}
],
"prompt_number": 52
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'][df_time['balance_parsed']==0].count()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 68,
"text": [
"357489"
]
}
],
"prompt_number": 68
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['openFine_parsed'].sum()+df_time['openPenalty_parsed'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 75,
"text": [
"122410001.0"
]
}
],
"prompt_number": 75
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 89,
"text": [
"122457404.0"
]
}
],
"prompt_number": 89
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['violFine_parsed'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 80,
"text": [
"47972216.0"
]
}
],
"prompt_number": 80
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['openPenalty_parsed'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 81,
"text": [
"91106158.0"
]
}
],
"prompt_number": 81
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'].sum() - (df_time['openFine_parsed'].sum()+df_time['openPenalty_parsed'].sum())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 82,
"text": [
"47403.0"
]
}
],
"prompt_number": 82
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['violFine_parsed'][df_time['balance_parsed']==0].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 84,
"text": [
"16541671.0"
]
}
],
"prompt_number": 84
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 88,
"text": [
"20072528.0"
]
}
],
"prompt_number": 88
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['violFine_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 90,
"text": [
"24098830.0"
]
}
],
"prompt_number": 90
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['openPenalty_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 92,
"text": [
"12539524.0"
]
}
],
"prompt_number": 92
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['openFine_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
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"text": [
"7526763.0"
]
}
],
"prompt_number": 93
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['openPenalty_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()+df_time['openFine_parsed'].ix['21-jan-2013':'21-jan-2015'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 94,
"text": [
"20066287.0"
]
}
],
"prompt_number": 94
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'].ix[:'20-jan-2013'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 95,
"text": [
"102384876.0"
]
}
],
"prompt_number": 95
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['violFine_parsed'].ix[:'20-jan-2013'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 96,
"text": [
"23873386.0"
]
}
],
"prompt_number": 96
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time['balance_parsed'].ix[:'20-jan-2013'].sum()/df_time['violFine_parsed'].ix[:'20-jan-2013'].sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 98,
"text": [
"4.2886616921453875"
]
}
],
"prompt_number": 98
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Last 2 Years of Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Everything that follows is using only the most recent 2 years worth of data since all records are kept on a 2 year rolling basis."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2 = df_time.ix['01-feb-2013':'28-feb-2015']\n",
"df_time_2['violFine_parsed'].resample('M',how='count').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x112f8bf50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x10fe0a410>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"groupby_desc2 = df_time_2.groupby('Description')\n",
"\n",
"citation_desc2 = pd.DataFrame()\n",
"\n",
"# Total fines for each citation type\n",
"citation_desc2['fines'] = groupby_desc2['violFine_parsed'].sum()\n",
"\n",
"# Number of unique locations each citation type was issued at\n",
"citation_desc2['unique_locs'] = groupby_desc2['location'].nunique()\n",
"\n",
"# Fine type concentration by location\n",
"citation_desc2['fine_conc_loc'] = (citation_desc2['fines'] / citation_desc2['unique_locs']).apply(lambda x: round(x,2))\n",
"\n",
"citation_desc2.sort('fines',inplace=True,ascending=False)\n",
"\n",
"citation_desc2['first_date'] = ''\n",
"citation_desc2['last_date'] = ''\n",
"for row in citation_desc2.index:\n",
" # First issue date for each citation type\n",
" citation_desc2['first_date'].ix[row] = min(groupby_desc2['violDate'].get_group(row))\n",
" # Last issue date for each citation type\n",
" citation_desc2['last_date'].ix[row] = max(groupby_desc2['violDate'].get_group(row))\n",
"# Total date range in years for each citation type\n",
"citation_desc2['date_range_years'] = (citation_desc2['last_date'] - citation_desc2['first_date']).astype('timedelta64[D]')/365. \n",
"# Fines per year for each citation type\n",
"citation_desc2['fines_annual'] = citation_desc2['fines']/citation_desc2['date_range_years']\n",
"\n",
"citation_desc2\n",
"#citation_desc.to_csv('citation_desc_date_range_new.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"/Users/Justin/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/indexing.py:121: SettingWithCopyWarning:\n",
"\n",
"\n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
"\n"
]
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fines</th>\n",
" <th>unique_locs</th>\n",
" <th>fine_conc_loc</th>\n",
" <th>first_date</th>\n",
" <th>last_date</th>\n",
" <th>date_range_years</th>\n",
" <th>fines_annual</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Description</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>All Other Parking Meter Violations</th>\n",
" <td> 5985029</td>\n",
" <td> 5470</td>\n",
" <td> 1094.16</td>\n",
" <td>2013-02-01 09:25:00</td>\n",
" <td>2015-02-28 21:12:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 2.885780e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Park Street Cleaning</th>\n",
" <td> 3379044</td>\n",
" <td> 5043</td>\n",
" <td> 670.05</td>\n",
" <td>2013-02-01 07:47:00</td>\n",
" <td>2015-02-24 12:00:00</td>\n",
" <td> 2.063014</td>\n",
" <td> 1.637916e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Tow Away Zone</th>\n",
" <td> 2902978</td>\n",
" <td> 4766</td>\n",
" <td> 609.10</td>\n",
" <td>2013-02-01 07:12:00</td>\n",
" <td>2015-02-28 21:19:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 1.399719e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Residential Parking Permit Only</th>\n",
" <td> 2169212</td>\n",
" <td> 2029</td>\n",
" <td> 1069.10</td>\n",
" <td>2013-02-01 13:09:00</td>\n",
" <td>2015-02-28 21:00:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 1.045921e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Not Tow-Away Zone</th>\n",
" <td> 2087255</td>\n",
" <td> 8459</td>\n",
" <td> 246.75</td>\n",
" <td>2013-02-01 01:00:00</td>\n",
" <td>2015-02-28 22:26:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 1.006404e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Expired Tags</th>\n",
" <td> 1605454</td>\n",
" <td> 14684</td>\n",
" <td> 109.33</td>\n",
" <td>2013-02-01 04:05:00</td>\n",
" <td>2015-02-28 18:20:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 7.740961e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Park Handicap</th>\n",
" <td> 1541932</td>\n",
" <td> 1201</td>\n",
" <td> 1283.87</td>\n",
" <td>2013-02-01 12:23:00</td>\n",
" <td>2015-02-28 18:47:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 7.434679e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Movement of Pedestrian</th>\n",
" <td> 967692</td>\n",
" <td> 3687</td>\n",
" <td> 262.46</td>\n",
" <td>2013-02-01 07:25:00</td>\n",
" <td>2015-02-28 22:15:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 4.665886e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>In Transit Zone/Stop</th>\n",
" <td> 821673</td>\n",
" <td> 1796</td>\n",
" <td> 457.50</td>\n",
" <td>2013-02-01 09:16:00</td>\n",
" <td>2015-02-28 21:24:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 3.961832e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All Other Stopping or Parking Violations</th>\n",
" <td> 762406</td>\n",
" <td> 6566</td>\n",
" <td> 116.11</td>\n",
" <td>2013-02-01 04:33:00</td>\n",
" <td>2015-02-28 17:36:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 3.676066e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping//Parking Stadium Event Camden</th>\n",
" <td> 637296</td>\n",
" <td> 474</td>\n",
" <td> 1344.51</td>\n",
" <td>2013-03-03 15:30:00</td>\n",
" <td>2015-01-23 20:35:00</td>\n",
" <td> 1.893151</td>\n",
" <td> 3.366325e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Abandonded Vehicle</th>\n",
" <td> 613220</td>\n",
" <td> 1854</td>\n",
" <td> 330.76</td>\n",
" <td>2013-02-01 09:49:00</td>\n",
" <td>2015-02-27 13:51:00</td>\n",
" <td> 2.071233</td>\n",
" <td> 2.960652e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Commercial Veh/Residence under 20,000 lbs</th>\n",
" <td> 608328</td>\n",
" <td> 1396</td>\n",
" <td> 435.77</td>\n",
" <td>2013-02-04 21:10:00</td>\n",
" <td>2015-02-28 21:34:00</td>\n",
" <td> 2.065753</td>\n",
" <td> 2.944824e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Less Than 15 feet from Fire Hydrant</th>\n",
" <td> 512799</td>\n",
" <td> 2611</td>\n",
" <td> 196.40</td>\n",
" <td>2013-02-01 03:00:00</td>\n",
" <td>2015-02-28 21:45:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 2.472545e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Flow of Traffic</th>\n",
" <td> 373840</td>\n",
" <td> 2473</td>\n",
" <td> 151.17</td>\n",
" <td>2013-02-01 09:01:00</td>\n",
" <td>2015-02-28 16:25:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 1.802531e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Passenger Loading Zone</th>\n",
" <td> 242587</td>\n",
" <td> 992</td>\n",
" <td> 244.54</td>\n",
" <td>2013-02-01 10:04:00</td>\n",
" <td>2015-02-28 18:31:00</td>\n",
" <td> 2.073973</td>\n",
" <td> 1.169673e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mobile Speed Camera</th>\n",
" <td> 219000</td>\n",
" <td> 36</td>\n",
" <td> 6083.33</td>\n",
" <td>2013-02-20 13:05:00</td>\n",
" <td>2013-04-02 19:10:00</td>\n",
" <td> 0.112329</td>\n",
" <td> 1.949634e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Commercial Veh/Residence over 20,000 lbs</th>\n",
" <td> 209134</td>\n",
" <td> 253</td>\n",
" <td> 826.62</td>\n",
" <td>2013-03-04 19:30:00</td>\n",
" <td>2015-02-23 21:11:00</td>\n",
" <td> 1.975342</td>\n",
" <td> 1.058723e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Exceeding 48 Hours</th>\n",
" <td> 128886</td>\n",
" <td> 3197</td>\n",
" <td> 40.31</td>\n",
" <td>2013-02-01 10:07:00</td>\n",
" <td>2015-02-27 13:42:00</td>\n",
" <td> 2.071233</td>\n",
" <td> 6.222671e+04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fire Lane/Handicapped Violation</th>\n",
" <td> 100083</td>\n",
" <td> 615</td>\n",
" <td> 162.74</td>\n",
" <td>2013-02-01 12:40:00</td>\n",
" <td>2015-02-22 23:45:00</td>\n",
" <td> 2.057534</td>\n",
" <td> 4.864220e+04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Red Light Violation</th>\n",
" <td> 34125</td>\n",
" <td> 61</td>\n",
" <td> 559.43</td>\n",
" <td>2013-03-09 15:38:00</td>\n",
" <td>2013-04-01 21:23:00</td>\n",
" <td> 0.063014</td>\n",
" <td> 5.415489e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Blocking Garage or Driveway</th>\n",
" <td> 20140</td>\n",
" <td> 548</td>\n",
" <td> 36.75</td>\n",
" <td>2013-02-02 00:55:00</td>\n",
" <td>2015-02-27 21:50:00</td>\n",
" <td> 2.068493</td>\n",
" <td> 9.736556e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Less 30\u0092 from Intersection</th>\n",
" <td> 4608</td>\n",
" <td> 124</td>\n",
" <td> 37.16</td>\n",
" <td>2013-02-05 16:56:00</td>\n",
" <td>2014-12-29 09:17:00</td>\n",
" <td> 1.893151</td>\n",
" <td> 2.434038e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Right on Red</th>\n",
" <td> 3225</td>\n",
" <td> 16</td>\n",
" <td> 201.56</td>\n",
" <td>2013-03-27 15:31:00</td>\n",
" <td>2013-04-01 19:08:00</td>\n",
" <td> 0.013699</td>\n",
" <td> 2.354250e+05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Stand/Park Cruising</th>\n",
" <td> 3186</td>\n",
" <td> 42</td>\n",
" <td> 75.86</td>\n",
" <td>2013-02-01 23:52:00</td>\n",
" <td>2015-02-06 20:41:00</td>\n",
" <td> 2.010959</td>\n",
" <td> 1.584319e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>In Taxicab Stand</th>\n",
" <td> 2267</td>\n",
" <td> 54</td>\n",
" <td> 41.98</td>\n",
" <td>2013-02-07 12:00:00</td>\n",
" <td>2015-02-28 17:13:00</td>\n",
" <td> 2.057534</td>\n",
" <td> 1.101804e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping or No Parking Pimlico Event</th>\n",
" <td> 1403</td>\n",
" <td> 14</td>\n",
" <td> 100.21</td>\n",
" <td>2013-03-08 11:03:00</td>\n",
" <td>2015-01-01 06:52:00</td>\n",
" <td> 1.816438</td>\n",
" <td> 7.723906e+02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Snow Emergency Route Violation</th>\n",
" <td> 308</td>\n",
" <td> 4</td>\n",
" <td> 77.00</td>\n",
" <td>2014-02-02 07:00:00</td>\n",
" <td>2014-08-16 03:29:00</td>\n",
" <td> 0.531507</td>\n",
" <td> 5.794845e+02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Less 30? from Intersection</th>\n",
" <td> 160</td>\n",
" <td> 5</td>\n",
" <td> 32.00</td>\n",
" <td>2015-01-20 11:27:00</td>\n",
" <td>2015-02-09 13:40:00</td>\n",
" <td> 0.054795</td>\n",
" <td> 2.920000e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Parking Stadium Event \u0096 33rd</th>\n",
" <td> 17</td>\n",
" <td> 1</td>\n",
" <td> 17.00</td>\n",
" <td>2013-07-07 01:43:00</td>\n",
" <td>2013-07-07 01:43:00</td>\n",
" <td> 0.000000</td>\n",
" <td> inf</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": [
" fines unique_locs \\\n",
"Description \n",
"All Other Parking Meter Violations 5985029 5470 \n",
"No Stop/Park Street Cleaning 3379044 5043 \n",
"No Stopping/Standing Tow Away Zone 2902978 4766 \n",
"Residential Parking Permit Only 2169212 2029 \n",
"No Stopping/Standing Not Tow-Away Zone 2087255 8459 \n",
"Expired Tags 1605454 14684 \n",
"No Stop/Park Handicap 1541932 1201 \n",
"Obstruct/Impeding Movement of Pedestrian 967692 3687 \n",
"In Transit Zone/Stop 821673 1796 \n",
"All Other Stopping or Parking Violations 762406 6566 \n",
"No Stopping//Parking Stadium Event Camden 637296 474 \n",
"Abandonded Vehicle 613220 1854 \n",
"Commercial Veh/Residence under 20,000 lbs 608328 1396 \n",
"Less Than 15 feet from Fire Hydrant 512799 2611 \n",
"Obstruct/Impeding Flow of Traffic 373840 2473 \n",
"Passenger Loading Zone 242587 992 \n",
"Mobile Speed Camera 219000 36 \n",
"Commercial Veh/Residence over 20,000 lbs 209134 253 \n",
"Exceeding 48 Hours 128886 3197 \n",
"Fire Lane/Handicapped Violation 100083 615 \n",
"Red Light Violation 34125 61 \n",
"Blocking Garage or Driveway 20140 548 \n",
"Less 30\u0092 from Intersection 4608 124 \n",
"Right on Red 3225 16 \n",
"No Stop/Stand/Park Cruising 3186 42 \n",
"In Taxicab Stand 2267 54 \n",
"No Stopping or No Parking Pimlico Event 1403 14 \n",
"Snow Emergency Route Violation 308 4 \n",
"Less 30? from Intersection 160 5 \n",
"No Stopping/Parking Stadium Event \u0096 33rd 17 1 \n",
"\n",
" fine_conc_loc first_date \\\n",
"Description \n",
"All Other Parking Meter Violations 1094.16 2013-02-01 09:25:00 \n",
"No Stop/Park Street Cleaning 670.05 2013-02-01 07:47:00 \n",
"No Stopping/Standing Tow Away Zone 609.10 2013-02-01 07:12:00 \n",
"Residential Parking Permit Only 1069.10 2013-02-01 13:09:00 \n",
"No Stopping/Standing Not Tow-Away Zone 246.75 2013-02-01 01:00:00 \n",
"Expired Tags 109.33 2013-02-01 04:05:00 \n",
"No Stop/Park Handicap 1283.87 2013-02-01 12:23:00 \n",
"Obstruct/Impeding Movement of Pedestrian 262.46 2013-02-01 07:25:00 \n",
"In Transit Zone/Stop 457.50 2013-02-01 09:16:00 \n",
"All Other Stopping or Parking Violations 116.11 2013-02-01 04:33:00 \n",
"No Stopping//Parking Stadium Event Camden 1344.51 2013-03-03 15:30:00 \n",
"Abandonded Vehicle 330.76 2013-02-01 09:49:00 \n",
"Commercial Veh/Residence under 20,000 lbs 435.77 2013-02-04 21:10:00 \n",
"Less Than 15 feet from Fire Hydrant 196.40 2013-02-01 03:00:00 \n",
"Obstruct/Impeding Flow of Traffic 151.17 2013-02-01 09:01:00 \n",
"Passenger Loading Zone 244.54 2013-02-01 10:04:00 \n",
"Mobile Speed Camera 6083.33 2013-02-20 13:05:00 \n",
"Commercial Veh/Residence over 20,000 lbs 826.62 2013-03-04 19:30:00 \n",
"Exceeding 48 Hours 40.31 2013-02-01 10:07:00 \n",
"Fire Lane/Handicapped Violation 162.74 2013-02-01 12:40:00 \n",
"Red Light Violation 559.43 2013-03-09 15:38:00 \n",
"Blocking Garage or Driveway 36.75 2013-02-02 00:55:00 \n",
"Less 30\u0092 from Intersection 37.16 2013-02-05 16:56:00 \n",
"Right on Red 201.56 2013-03-27 15:31:00 \n",
"No Stop/Stand/Park Cruising 75.86 2013-02-01 23:52:00 \n",
"In Taxicab Stand 41.98 2013-02-07 12:00:00 \n",
"No Stopping or No Parking Pimlico Event 100.21 2013-03-08 11:03:00 \n",
"Snow Emergency Route Violation 77.00 2014-02-02 07:00:00 \n",
"Less 30? from Intersection 32.00 2015-01-20 11:27:00 \n",
"No Stopping/Parking Stadium Event \u0096 33rd 17.00 2013-07-07 01:43:00 \n",
"\n",
" last_date \\\n",
"Description \n",
"All Other Parking Meter Violations 2015-02-28 21:12:00 \n",
"No Stop/Park Street Cleaning 2015-02-24 12:00:00 \n",
"No Stopping/Standing Tow Away Zone 2015-02-28 21:19:00 \n",
"Residential Parking Permit Only 2015-02-28 21:00:00 \n",
"No Stopping/Standing Not Tow-Away Zone 2015-02-28 22:26:00 \n",
"Expired Tags 2015-02-28 18:20:00 \n",
"No Stop/Park Handicap 2015-02-28 18:47:00 \n",
"Obstruct/Impeding Movement of Pedestrian 2015-02-28 22:15:00 \n",
"In Transit Zone/Stop 2015-02-28 21:24:00 \n",
"All Other Stopping or Parking Violations 2015-02-28 17:36:00 \n",
"No Stopping//Parking Stadium Event Camden 2015-01-23 20:35:00 \n",
"Abandonded Vehicle 2015-02-27 13:51:00 \n",
"Commercial Veh/Residence under 20,000 lbs 2015-02-28 21:34:00 \n",
"Less Than 15 feet from Fire Hydrant 2015-02-28 21:45:00 \n",
"Obstruct/Impeding Flow of Traffic 2015-02-28 16:25:00 \n",
"Passenger Loading Zone 2015-02-28 18:31:00 \n",
"Mobile Speed Camera 2013-04-02 19:10:00 \n",
"Commercial Veh/Residence over 20,000 lbs 2015-02-23 21:11:00 \n",
"Exceeding 48 Hours 2015-02-27 13:42:00 \n",
"Fire Lane/Handicapped Violation 2015-02-22 23:45:00 \n",
"Red Light Violation 2013-04-01 21:23:00 \n",
"Blocking Garage or Driveway 2015-02-27 21:50:00 \n",
"Less 30\u0092 from Intersection 2014-12-29 09:17:00 \n",
"Right on Red 2013-04-01 19:08:00 \n",
"No Stop/Stand/Park Cruising 2015-02-06 20:41:00 \n",
"In Taxicab Stand 2015-02-28 17:13:00 \n",
"No Stopping or No Parking Pimlico Event 2015-01-01 06:52:00 \n",
"Snow Emergency Route Violation 2014-08-16 03:29:00 \n",
"Less 30? from Intersection 2015-02-09 13:40:00 \n",
"No Stopping/Parking Stadium Event \u0096 33rd 2013-07-07 01:43:00 \n",
"\n",
" date_range_years fines_annual \n",
"Description \n",
"All Other Parking Meter Violations 2.073973 2.885780e+06 \n",
"No Stop/Park Street Cleaning 2.063014 1.637916e+06 \n",
"No Stopping/Standing Tow Away Zone 2.073973 1.399719e+06 \n",
"Residential Parking Permit Only 2.073973 1.045921e+06 \n",
"No Stopping/Standing Not Tow-Away Zone 2.073973 1.006404e+06 \n",
"Expired Tags 2.073973 7.740961e+05 \n",
"No Stop/Park Handicap 2.073973 7.434679e+05 \n",
"Obstruct/Impeding Movement of Pedestrian 2.073973 4.665886e+05 \n",
"In Transit Zone/Stop 2.073973 3.961832e+05 \n",
"All Other Stopping or Parking Violations 2.073973 3.676066e+05 \n",
"No Stopping//Parking Stadium Event Camden 1.893151 3.366325e+05 \n",
"Abandonded Vehicle 2.071233 2.960652e+05 \n",
"Commercial Veh/Residence under 20,000 lbs 2.065753 2.944824e+05 \n",
"Less Than 15 feet from Fire Hydrant 2.073973 2.472545e+05 \n",
"Obstruct/Impeding Flow of Traffic 2.073973 1.802531e+05 \n",
"Passenger Loading Zone 2.073973 1.169673e+05 \n",
"Mobile Speed Camera 0.112329 1.949634e+06 \n",
"Commercial Veh/Residence over 20,000 lbs 1.975342 1.058723e+05 \n",
"Exceeding 48 Hours 2.071233 6.222671e+04 \n",
"Fire Lane/Handicapped Violation 2.057534 4.864220e+04 \n",
"Red Light Violation 0.063014 5.415489e+05 \n",
"Blocking Garage or Driveway 2.068493 9.736556e+03 \n",
"Less 30\u0092 from Intersection 1.893151 2.434038e+03 \n",
"Right on Red 0.013699 2.354250e+05 \n",
"No Stop/Stand/Park Cruising 2.010959 1.584319e+03 \n",
"In Taxicab Stand 2.057534 1.101804e+03 \n",
"No Stopping or No Parking Pimlico Event 1.816438 7.723906e+02 \n",
"Snow Emergency Route Violation 0.531507 5.794845e+02 \n",
"Less 30? from Intersection 0.054795 2.920000e+03 \n",
"No Stopping/Parking Stadium Event \u0096 33rd 0.000000 inf "
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot top 10 infraction types over time\n",
"\n",
"fig = plt.figure(figsize=[10,8])\n",
"ax1 = plt.subplot(111)\n",
"\n",
"for key in citation_desc2[:10].index:\n",
" #print key\n",
" df_time_2['violFine_parsed'][df_time_2['Description']==key].ix['01-feb-2013':'31-dec-2014'].resample('M', how='count').plot(linewidth=2,label=key,grid='off')\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14) \n",
"\n",
"\n",
"xlabel('')\n",
"ylabel('Number of Citations', fontsize=14)\n",
"legend(loc='upper left', fontsize=12)\n",
"title('Top 10 Citation Types (by Total Fines)\\n 01-Feb-2013 to 31-Dec-2014', fontsize=18)\n",
"\n",
"#fig.savefig('output/Top 10 Monthly Citation Plot 2013-02-01 to 2014-12-31.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"<matplotlib.text.Text at 0x11214b3d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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gExFZhtn76CqgN3AjgKqmOZtzvioie/h7y5Y1mKOaUNUNIjIXeE9E7sa4ON/D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ewG6fPfbzDMG+QIBP79nDxoEBAD5QUsJ98+dT6chBHDoHCCHo7Hyc/fu/SDSaioJRFBsVFddS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\n2gAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11ad2c790>"
]
}
],
"prompt_number": 12
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Last 2 Years by Location"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"groupby_loc = df_time_2.groupby(df_time_2['location'])\n",
"\n",
"loc_counts = groupby_loc['Description'].count()\n",
"loc_revenue = groupby_loc['violFine_parsed'].sum()\n",
"\n",
"loc_counts.sort(inplace=True, ascending=False)\n",
"loc_revenue.sort(inplace=True, ascending=False)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 179
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print '\\nNumber of locations:', loc_revenue.count()\n",
"print 'Number of locations with fines issued greater than $10,000: ', loc_revenue[loc_revenue>=10000].count()\n",
"print '% of all locations with fines issued greater than $10,000:', round(100*float(loc_revenue[loc_revenue>=10000].count()) / float(loc_revenue.count()),1)\n",
"print '% Revenue generated by locations with fines issued greater than $10,000:', round(100*loc_revenue[loc_revenue>=10000].sum() / loc_revenue.sum(),1),'\\n'\n",
"\n",
"\n",
"loc_revenue.hist(bins=50)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Number of locations: 38597\n",
"Number of locations with fines issued greater than $10,000: 447\n",
"% of all locations with fines issued greater than $10,000: 1.2\n",
"% Revenue generated by locations with fines issued greater than $10,000: 45.8 \n",
"\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 180,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1599c0f10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x1599cc5d0>"
]
}
],
"prompt_number": 180
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"loc_revenue[:20].to_csv('output/Top20_Target_locations.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2[:-30]"
],
"language": "python",
"metadata": {},
"outputs": [
{
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>...</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>violDate</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <tr>\n",
" <th>2013-01-21 08:12:00</th>\n",
" <td> 5AR6725</td>\n",
" <td> 04</td>\n",
" <td> 14</td>\n",
" <td> PONTI</td>\n",
" <td> MD</td>\n",
" <td> 3000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 08:12:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 08:16:00</th>\n",
" <td> 2AV0600</td>\n",
" <td> 07</td>\n",
" <td> 14</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 900 BONAPARTE AVE</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 08:16:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 08:40:00</th>\n",
" <td> 4AS1217</td>\n",
" <td> 05</td>\n",
" <td> 14</td>\n",
" <td> ACURA</td>\n",
" <td> MD</td>\n",
" <td> 100 CLINTON ST</td>\n",
" <td> 20</td>\n",
" <td> Passenger Loading Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 08:40:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 08:46:00</th>\n",
" <td> 6AY6243</td>\n",
" <td> 12</td>\n",
" <td> 14</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 3400 BANK ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 08:46:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 10/25/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-25 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 08:55:00</th>\n",
" <td> 3AY2738</td>\n",
" <td> 02</td>\n",
" <td> 13</td>\n",
" <td> OLDSM</td>\n",
" <td> MD</td>\n",
" <td> 400 CONKLING ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 08:55:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 09:17:00</th>\n",
" <td> 899M381</td>\n",
" <td> 04</td>\n",
" <td> 15</td>\n",
" <td> OLDSM</td>\n",
" <td> MD</td>\n",
" <td> 400 REDWOOD ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 09:17:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 09:27:00</th>\n",
" <td> HPM8797</td>\n",
" <td> 07</td>\n",
" <td> 13</td>\n",
" <td> HONDA</td>\n",
" <td> PA</td>\n",
" <td> 300 REDWOOD ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 09:27:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 07/01/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 09:34:00</th>\n",
" <td> AGY1571</td>\n",
" <td> 01</td>\n",
" <td> 14</td>\n",
" <td> NISSA</td>\n",
" <td> GA</td>\n",
" <td> 900 SAINT PAUL ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 09:34:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:05:00</th>\n",
" <td> HPB535</td>\n",
" <td> 06</td>\n",
" <td> 13</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 500 WOLFE ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:05:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:15:00</th>\n",
" <td> 6AV2518</td>\n",
" <td> 08</td>\n",
" <td> 14</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 00 BIDDLE ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:15:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:21:00</th>\n",
" <td> 26185M2</td>\n",
" <td> 08</td>\n",
" <td> 15</td>\n",
" <td> GMC</td>\n",
" <td> MD</td>\n",
" <td> 1500 LAKEVIEW AVE</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:21:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:35:00</th>\n",
" <td> 4AW4641</td>\n",
" <td> 12</td>\n",
" <td> 12</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1900 VINE ST</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:35:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:41:00</th>\n",
" <td> 6AX7862</td>\n",
" <td> 12</td>\n",
" <td> 12</td>\n",
" <td> CADIL</td>\n",
" <td> MD</td>\n",
" <td> 1900 FAIRMOUNT AVE</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:41:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 10:54:00</th>\n",
" <td> 20348HT</td>\n",
" <td> 02</td>\n",
" <td> 14</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 2800 HOMEWOOD AVE</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 10:54:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 03/08/2014 12:03:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-03-08 12:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 11:32:00</th>\n",
" <td> 7FWY40</td>\n",
" <td> 06</td>\n",
" <td> 14</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 1800 EASTERN AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 11:32:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 11:41:00</th>\n",
" <td> T657590</td>\n",
" <td> 03</td>\n",
" <td> 13</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 700 EDEN ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 11:41:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 11:48:00</th>\n",
" <td> YRK9625</td>\n",
" <td> 06</td>\n",
" <td> 13</td>\n",
" <td> FORD</td>\n",
" <td> PA</td>\n",
" <td> 700 EDEN ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 11:48:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 07/01/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 11:48:00</th>\n",
" <td> 19248979</td>\n",
" <td> 01</td>\n",
" <td> 13</td>\n",
" <td> HONDA</td>\n",
" <td> NC</td>\n",
" <td> 1800 EASTERN AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 11:48:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:01:00</th>\n",
" <td> 1AT655</td>\n",
" <td> 08</td>\n",
" <td> 8</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 800 LIGHT ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:01:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 06/27/2013 11:03:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-06-27 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:01:00</th>\n",
" <td> 1A1655</td>\n",
" <td> 11</td>\n",
" <td> 14</td>\n",
" <td> CHEV</td>\n",
" <td> MD</td>\n",
" <td> E/S 800 LIGHT</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:01:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 06/28/2013 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-06-28 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:02:00</th>\n",
" <td> 4AW1092</td>\n",
" <td> 12</td>\n",
" <td> 12</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 2600 HAFER ST</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:02:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:14:00</th>\n",
" <td> AEV439</td>\n",
" <td> 09</td>\n",
" <td> 13</td>\n",
" <td> CHEVR</td>\n",
" <td> SC</td>\n",
" <td> 900 SAINT PAUL ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2013-01-21 12:14:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/25/2013 11:03:00 AM +0000</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-25 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:25:00</th>\n",
" <td> 3AW9896</td>\n",
" <td> 10</td>\n",
" <td> 12</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 0 EUTAW ST</td>\n",
" <td> 20</td>\n",
" <td> Passenger Loading Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:25:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 03/13/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-03-13 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:31:00</th>\n",
" <td> 1AV8519</td>\n",
" <td> 07</td>\n",
" <td> 14</td>\n",
" <td> HYUN</td>\n",
" <td> MD</td>\n",
" <td> 5100 PARK HTS</td>\n",
" <td> 19</td>\n",
" <td> Exceeding 48 Hours</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:31:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 12:38:00</th>\n",
" <td> 6CSF67</td>\n",
" <td> 02</td>\n",
" <td> 12</td>\n",
" <td> MERCU</td>\n",
" <td> MD</td>\n",
" <td> 300 MARTINGALE AVE</td>\n",
" <td> 99</td>\n",
" <td> All Other Stopping or Parking Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 12:38:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 13:11:00</th>\n",
" <td> 6AX6004</td>\n",
" <td> 10</td>\n",
" <td> 14</td>\n",
" <td> DODGE</td>\n",
" <td> MD</td>\n",
" <td> 1800 FLEET ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 13:11:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 09/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-09-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 13:33:00</th>\n",
" <td> NMR470</td>\n",
" <td> 03</td>\n",
" <td> 12</td>\n",
" <td> TOYOT</td>\n",
" <td> WV</td>\n",
" <td> 600 EDEN ST</td>\n",
" <td> 20</td>\n",
" <td> Passenger Loading Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 13:33:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 14:08:00</th>\n",
" <td> 7AL2128</td>\n",
" <td> 10</td>\n",
" <td> 13</td>\n",
" <td> CHEV</td>\n",
" <td> MD</td>\n",
" <td> 2401 BELAIR RD</td>\n",
" <td> 26</td>\n",
" <td> No Stop/Park Handicap</td>\n",
" <td> $502.00</td>\n",
" <td>2013-01-21 14:08:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 02/20/2013</td>\n",
" <td> 10/01/2013 11:05:00 AM +0000</td>\n",
" <td> 502</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-10-01 11:05:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 15:42:00</th>\n",
" <td> 60P869</td>\n",
" <td> 08</td>\n",
" <td> 14</td>\n",
" <td> CINT</td>\n",
" <td> MD</td>\n",
" <td> E/S 3200 GREENMOUNT</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 15:42:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 10/30/2013</td>\n",
" <td> 09/10/2014 11:03:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-09-10 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-01-21 17:15:00</th>\n",
" <td> M040048</td>\n",
" <td> 11</td>\n",
" <td> 14</td>\n",
" <td> GMC</td>\n",
" <td> MD</td>\n",
" <td> 600 PRESIDENT ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-01-21 17:15:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:45:00</th>\n",
" <td> 94423CC</td>\n",
" <td> 9</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 600 PACA ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:45:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:49:00</th>\n",
" <td> 8CNX57</td>\n",
" <td> 12</td>\n",
" <td> 14</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 3500 BEECH AVE</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 12:49:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:49:00</th>\n",
" <td> JMS928</td>\n",
" <td> 12</td>\n",
" <td> 15</td>\n",
" <td> MAZDA</td>\n",
" <td> MD</td>\n",
" <td> 600 PACA ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:49:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:51:00</th>\n",
" <td> BDP3268</td>\n",
" <td> 8</td>\n",
" <td> 15</td>\n",
" <td> HYUND</td>\n",
" <td> NC</td>\n",
" <td> 3000 CALVERT ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:51:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:52:00</th>\n",
" <td> 7DBL19</td>\n",
" <td> 5</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 600 PACA ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:52:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:52:00</th>\n",
" <td> 62484CE</td>\n",
" <td> 3</td>\n",
" <td> 16</td>\n",
" <td> JEEP</td>\n",
" <td> MD</td>\n",
" <td> U/B LAFAYETTE AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 12:52:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:54:00</th>\n",
" <td> 4AZ6632</td>\n",
" <td> 2</td>\n",
" <td> 15</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> U/B LAFAYETTE AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 12:54:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:57:00</th>\n",
" <td> 66033EN</td>\n",
" <td> 8</td>\n",
" <td> 15</td>\n",
" <td> HYUND</td>\n",
" <td> IL</td>\n",
" <td> 3100 CALVERT ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:57:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 12:59:00</th>\n",
" <td> 4BB1942</td>\n",
" <td> 5</td>\n",
" <td> 15</td>\n",
" <td> BMW</td>\n",
" <td> MD</td>\n",
" <td> 300 MOUNT ST</td>\n",
" <td> 27</td>\n",
" <td> No Stop/Park Street Cleaning</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 12:59:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:00:00</th>\n",
" <td> 90842CE</td>\n",
" <td> 5</td>\n",
" <td> 15</td>\n",
" <td> HYUND</td>\n",
" <td> MD</td>\n",
" <td> 3100 CALVERT ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:00:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:01:00</th>\n",
" <td> 07152CF</td>\n",
" <td> 9</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 5500 BELAIR RD</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:01:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:04:00</th>\n",
" <td> JNW3513</td>\n",
" <td> 5</td>\n",
" <td> 15</td>\n",
" <td> NISSA</td>\n",
" <td> PA</td>\n",
" <td> 3100 CALVERT ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:04:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:04:00</th>\n",
" <td> 1EFV74</td>\n",
" <td> 7</td>\n",
" <td> 16</td>\n",
" <td> SCION</td>\n",
" <td> MD</td>\n",
" <td> 5100 ROLAND AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:04:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:04:00</th>\n",
" <td> 12871TL</td>\n",
" <td> 1</td>\n",
" <td> 17</td>\n",
" <td> TRAIL</td>\n",
" <td> MD</td>\n",
" <td> 300 POPPLETON ST</td>\n",
" <td> 99</td>\n",
" <td> All Other Stopping or Parking Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:04:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:05:00</th>\n",
" <td> 4CB2746</td>\n",
" <td> 9</td>\n",
" <td> 15</td>\n",
" <td> FORD</td>\n",
" <td> ID</td>\n",
" <td> 100 32ND ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:05:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:05:00</th>\n",
" <td> ND7315</td>\n",
" <td> 11</td>\n",
" <td> 15</td>\n",
" <td> SUBAR</td>\n",
" <td> WV</td>\n",
" <td> 100 LAFAYETTE AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:05:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:06:00</th>\n",
" <td> 4CMH23</td>\n",
" <td> 1</td>\n",
" <td> 16</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 5500 BELAIR RD</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:06:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:06:00</th>\n",
" <td> 3FWT24</td>\n",
" <td> 5</td>\n",
" <td> 16</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 300 POPPLETON ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:06:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:06:00</th>\n",
" <td> 4MYSONS</td>\n",
" <td> 10</td>\n",
" <td> 16</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> U/B MOUNT ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:06:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:07:00</th>\n",
" <td> V245498</td>\n",
" <td> 11</td>\n",
" <td> 15</td>\n",
" <td> NISSA</td>\n",
" <td> IL</td>\n",
" <td> 3100 CALVERT ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:07:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:07:00</th>\n",
" <td> 6BC1837</td>\n",
" <td> 12</td>\n",
" <td> 15</td>\n",
" <td> BMW</td>\n",
" <td> MD</td>\n",
" <td> 5100 ROLAND AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:07:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:08:00</th>\n",
" <td> 9AT1614</td>\n",
" <td> 7</td>\n",
" <td> 15</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 300 POPPLETON ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:08:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:08:00</th>\n",
" <td> A240779</td>\n",
" <td> 5</td>\n",
" <td> 15</td>\n",
" <td> LINCO</td>\n",
" <td> MD</td>\n",
" <td> 2600 MARYLAND AVE</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:08:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:09:00</th>\n",
" <td> LRD868</td>\n",
" <td> 9</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 5100 ROLAND AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:09:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:12:00</th>\n",
" <td> 03080CF</td>\n",
" <td> 11</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> U/B 22ND ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:12:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:12:00</th>\n",
" <td> 7BD9888</td>\n",
" <td> 7</td>\n",
" <td> 15</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 3200 ST PAUL ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:12:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:14:00</th>\n",
" <td> 6BG7778</td>\n",
" <td> 11</td>\n",
" <td> 15</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 5100 ROLAND AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:14:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:15:00</th>\n",
" <td> 9BK3957</td>\n",
" <td> 4</td>\n",
" <td> 16</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 1316 EDMONDSON AVE</td>\n",
" <td> 27</td>\n",
" <td> No Stop/Park Street Cleaning</td>\n",
" <td> $52.00</td>\n",
" <td>2015-01-20 13:15:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:17:00</th>\n",
" <td> MVL600</td>\n",
" <td> 7</td>\n",
" <td> 16</td>\n",
" <td> ACURA</td>\n",
" <td> MD</td>\n",
" <td> 5100 ROLAND AVE</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:17:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-01-20 13:17:00</th>\n",
" <td> 67L907</td>\n",
" <td> 9</td>\n",
" <td> 15</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> U/B 23RD ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-01-20 13:17:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 01/21/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-01-21 12:02:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>515488 rows \u00d7 21 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 140,
"text": [
" tag expmm expyy make state location \\\n",
"violDate \n",
"2013-01-21 08:12:00 5AR6725 04 14 PONTI MD 3000 CHARLES ST \n",
"2013-01-21 08:16:00 2AV0600 07 14 HONDA MD 900 BONAPARTE AVE \n",
"2013-01-21 08:40:00 4AS1217 05 14 ACURA MD 100 CLINTON ST \n",
"2013-01-21 08:46:00 6AY6243 12 14 NISSA MD 3400 BANK ST \n",
"2013-01-21 08:55:00 3AY2738 02 13 OLDSM MD 400 CONKLING ST \n",
"2013-01-21 09:17:00 899M381 04 15 OLDSM MD 400 REDWOOD ST \n",
"2013-01-21 09:27:00 HPM8797 07 13 HONDA PA 300 REDWOOD ST \n",
"2013-01-21 09:34:00 AGY1571 01 14 NISSA GA 900 SAINT PAUL ST \n",
"2013-01-21 10:05:00 HPB535 06 13 CHEVR MD 500 WOLFE ST \n",
"2013-01-21 10:15:00 6AV2518 08 14 TOYOT MD 00 BIDDLE ST \n",
"2013-01-21 10:21:00 26185M2 08 15 GMC MD 1500 LAKEVIEW AVE \n",
"2013-01-21 10:35:00 4AW4641 12 12 NISSA MD 1900 VINE ST \n",
"2013-01-21 10:41:00 6AX7862 12 12 CADIL MD 1900 FAIRMOUNT AVE \n",
"2013-01-21 10:54:00 20348HT 02 14 FORD MD 2800 HOMEWOOD AVE \n",
"2013-01-21 11:32:00 7FWY40 06 14 TOYOT MD 1800 EASTERN AVE \n",
"2013-01-21 11:41:00 T657590 03 13 CHEVR MD 700 EDEN ST \n",
"2013-01-21 11:48:00 YRK9625 06 13 FORD PA 700 EDEN ST \n",
"2013-01-21 11:48:00 19248979 01 13 HONDA NC 1800 EASTERN AVE \n",
"2013-01-21 12:01:00 1AT655 08 8 CHEVR MD 800 LIGHT ST \n",
"2013-01-21 12:01:00 1A1655 11 14 CHEV MD E/S 800 LIGHT \n",
"2013-01-21 12:02:00 4AW1092 12 12 FORD MD 2600 HAFER ST \n",
"2013-01-21 12:14:00 AEV439 09 13 CHEVR SC 900 SAINT PAUL ST \n",
"2013-01-21 12:25:00 3AW9896 10 12 FORD MD 0 EUTAW ST \n",
"2013-01-21 12:31:00 1AV8519 07 14 HYUN MD 5100 PARK HTS \n",
"2013-01-21 12:38:00 6CSF67 02 12 MERCU MD 300 MARTINGALE AVE \n",
"2013-01-21 13:11:00 6AX6004 10 14 DODGE MD 1800 FLEET ST \n",
"2013-01-21 13:33:00 NMR470 03 12 TOYOT WV 600 EDEN ST \n",
"2013-01-21 14:08:00 7AL2128 10 13 CHEV MD 2401 BELAIR RD \n",
"2013-01-21 15:42:00 60P869 08 14 CINT MD E/S 3200 GREENMOUNT \n",
"2013-01-21 17:15:00 M040048 11 14 GMC MD 600 PRESIDENT ST \n",
"... ... ... ... ... ... ... \n",
"2015-01-20 12:45:00 94423CC 9 15 HONDA MD 600 PACA ST \n",
"2015-01-20 12:49:00 8CNX57 12 14 TOYOT MD 3500 BEECH AVE \n",
"2015-01-20 12:49:00 JMS928 12 15 MAZDA MD 600 PACA ST \n",
"2015-01-20 12:51:00 BDP3268 8 15 HYUND NC 3000 CALVERT ST \n",
"2015-01-20 12:52:00 7DBL19 5 15 HONDA MD 600 PACA ST \n",
"2015-01-20 12:52:00 62484CE 3 16 JEEP MD U/B LAFAYETTE AVE \n",
"2015-01-20 12:54:00 4AZ6632 2 15 NISSA MD U/B LAFAYETTE AVE \n",
"2015-01-20 12:57:00 66033EN 8 15 HYUND IL 3100 CALVERT ST \n",
"2015-01-20 12:59:00 4BB1942 5 15 BMW MD 300 MOUNT ST \n",
"2015-01-20 13:00:00 90842CE 5 15 HYUND MD 3100 CALVERT ST \n",
"2015-01-20 13:01:00 07152CF 9 15 HONDA MD 5500 BELAIR RD \n",
"2015-01-20 13:04:00 JNW3513 5 15 NISSA PA 3100 CALVERT ST \n",
"2015-01-20 13:04:00 1EFV74 7 16 SCION MD 5100 ROLAND AVE \n",
"2015-01-20 13:04:00 12871TL 1 17 TRAIL MD 300 POPPLETON ST \n",
"2015-01-20 13:05:00 4CB2746 9 15 FORD ID 100 32ND ST \n",
"2015-01-20 13:05:00 ND7315 11 15 SUBAR WV 100 LAFAYETTE AVE \n",
"2015-01-20 13:06:00 4CMH23 1 16 CHEVR MD 5500 BELAIR RD \n",
"2015-01-20 13:06:00 3FWT24 5 16 HONDA MD 300 POPPLETON ST \n",
"2015-01-20 13:06:00 4MYSONS 10 16 NISSA MD U/B MOUNT ST \n",
"2015-01-20 13:07:00 V245498 11 15 NISSA IL 3100 CALVERT ST \n",
"2015-01-20 13:07:00 6BC1837 12 15 BMW MD 5100 ROLAND AVE \n",
"2015-01-20 13:08:00 9AT1614 7 15 CHEVR MD 300 POPPLETON ST \n",
"2015-01-20 13:08:00 A240779 5 15 LINCO MD 2600 MARYLAND AVE \n",
"2015-01-20 13:09:00 LRD868 9 15 HONDA MD 5100 ROLAND AVE \n",
"2015-01-20 13:12:00 03080CF 11 15 HONDA MD U/B 22ND ST \n",
"2015-01-20 13:12:00 7BD9888 7 15 TOYOT MD 3200 ST PAUL ST \n",
"2015-01-20 13:14:00 6BG7778 11 15 TOYOT MD 5100 ROLAND AVE \n",
"2015-01-20 13:15:00 9BK3957 4 16 CHEVR MD 1316 EDMONDSON AVE \n",
"2015-01-20 13:17:00 MVL600 7 16 ACURA MD 5100 ROLAND AVE \n",
"2015-01-20 13:17:00 67L907 9 15 CHEVR MD U/B 23RD ST \n",
"\n",
" violCode Description \\\n",
"violDate \n",
"2013-01-21 08:12:00 18 All Other Parking Meter Violations \n",
"2013-01-21 08:16:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2013-01-21 08:40:00 20 Passenger Loading Zone \n",
"2013-01-21 08:46:00 18 All Other Parking Meter Violations \n",
"2013-01-21 08:55:00 18 All Other Parking Meter Violations \n",
"2013-01-21 09:17:00 18 All Other Parking Meter Violations \n",
"2013-01-21 09:27:00 18 All Other Parking Meter Violations \n",
"2013-01-21 09:34:00 18 All Other Parking Meter Violations \n",
"2013-01-21 10:05:00 18 All Other Parking Meter Violations \n",
"2013-01-21 10:15:00 18 All Other Parking Meter Violations \n",
"2013-01-21 10:21:00 22 Expired Tags \n",
"2013-01-21 10:35:00 22 Expired Tags \n",
"2013-01-21 10:41:00 22 Expired Tags \n",
"2013-01-21 10:54:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2013-01-21 11:32:00 18 All Other Parking Meter Violations \n",
"2013-01-21 11:41:00 18 All Other Parking Meter Violations \n",
"2013-01-21 11:48:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2013-01-21 11:48:00 18 All Other Parking Meter Violations \n",
"2013-01-21 12:01:00 18 All Other Parking Meter Violations \n",
"2013-01-21 12:01:00 18 All Other Parking Meter Violations \n",
"2013-01-21 12:02:00 22 Expired Tags \n",
"2013-01-21 12:14:00 11 Residential Parking Permit Only \n",
"2013-01-21 12:25:00 20 Passenger Loading Zone \n",
"2013-01-21 12:31:00 19 Exceeding 48 Hours \n",
"2013-01-21 12:38:00 99 All Other Stopping or Parking Violations \n",
"2013-01-21 13:11:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2013-01-21 13:33:00 20 Passenger Loading Zone \n",
"2013-01-21 14:08:00 26 No Stop/Park Handicap \n",
"2013-01-21 15:42:00 22 Expired Tags \n",
"2013-01-21 17:15:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"... ... ... \n",
"2015-01-20 12:45:00 11 Residential Parking Permit Only \n",
"2015-01-20 12:49:00 22 Expired Tags \n",
"2015-01-20 12:49:00 11 Residential Parking Permit Only \n",
"2015-01-20 12:51:00 11 Residential Parking Permit Only \n",
"2015-01-20 12:52:00 11 Residential Parking Permit Only \n",
"2015-01-20 12:52:00 18 All Other Parking Meter Violations \n",
"2015-01-20 12:54:00 18 All Other Parking Meter Violations \n",
"2015-01-20 12:57:00 11 Residential Parking Permit Only \n",
"2015-01-20 12:59:00 27 No Stop/Park Street Cleaning \n",
"2015-01-20 13:00:00 11 Residential Parking Permit Only \n",
"2015-01-20 13:01:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:04:00 11 Residential Parking Permit Only \n",
"2015-01-20 13:04:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:04:00 99 All Other Stopping or Parking Violations \n",
"2015-01-20 13:05:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-01-20 13:05:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:06:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:06:00 11 Residential Parking Permit Only \n",
"2015-01-20 13:06:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:07:00 11 Residential Parking Permit Only \n",
"2015-01-20 13:07:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:08:00 11 Residential Parking Permit Only \n",
"2015-01-20 13:08:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-01-20 13:09:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:12:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:12:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:14:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:15:00 27 No Stop/Park Street Cleaning \n",
"2015-01-20 13:17:00 18 All Other Parking Meter Violations \n",
"2015-01-20 13:17:00 18 All Other Parking Meter Violations \n",
"\n",
" violFine violDate ... \\\n",
"violDate ... \n",
"2013-01-21 08:12:00 $32.00 2013-01-21 08:12:00 ... \n",
"2013-01-21 08:16:00 $32.00 2013-01-21 08:16:00 ... \n",
"2013-01-21 08:40:00 $32.00 2013-01-21 08:40:00 ... \n",
"2013-01-21 08:46:00 $32.00 2013-01-21 08:46:00 ... \n",
"2013-01-21 08:55:00 $32.00 2013-01-21 08:55:00 ... \n",
"2013-01-21 09:17:00 $32.00 2013-01-21 09:17:00 ... \n",
"2013-01-21 09:27:00 $32.00 2013-01-21 09:27:00 ... \n",
"2013-01-21 09:34:00 $32.00 2013-01-21 09:34:00 ... \n",
"2013-01-21 10:05:00 $32.00 2013-01-21 10:05:00 ... \n",
"2013-01-21 10:15:00 $32.00 2013-01-21 10:15:00 ... \n",
"2013-01-21 10:21:00 $32.00 2013-01-21 10:21:00 ... \n",
"2013-01-21 10:35:00 $32.00 2013-01-21 10:35:00 ... \n",
"2013-01-21 10:41:00 $32.00 2013-01-21 10:41:00 ... \n",
"2013-01-21 10:54:00 $32.00 2013-01-21 10:54:00 ... \n",
"2013-01-21 11:32:00 $32.00 2013-01-21 11:32:00 ... \n",
"2013-01-21 11:41:00 $32.00 2013-01-21 11:41:00 ... \n",
"2013-01-21 11:48:00 $32.00 2013-01-21 11:48:00 ... \n",
"2013-01-21 11:48:00 $32.00 2013-01-21 11:48:00 ... \n",
"2013-01-21 12:01:00 $32.00 2013-01-21 12:01:00 ... \n",
"2013-01-21 12:01:00 $32.00 2013-01-21 12:01:00 ... \n",
"2013-01-21 12:02:00 $32.00 2013-01-21 12:02:00 ... \n",
"2013-01-21 12:14:00 $52.00 2013-01-21 12:14:00 ... \n",
"2013-01-21 12:25:00 $32.00 2013-01-21 12:25:00 ... \n",
"2013-01-21 12:31:00 $32.00 2013-01-21 12:31:00 ... \n",
"2013-01-21 12:38:00 $32.00 2013-01-21 12:38:00 ... \n",
"2013-01-21 13:11:00 $32.00 2013-01-21 13:11:00 ... \n",
"2013-01-21 13:33:00 $32.00 2013-01-21 13:33:00 ... \n",
"2013-01-21 14:08:00 $502.00 2013-01-21 14:08:00 ... \n",
"2013-01-21 15:42:00 $32.00 2013-01-21 15:42:00 ... \n",
"2013-01-21 17:15:00 $32.00 2013-01-21 17:15:00 ... \n",
"... ... ... ... \n",
"2015-01-20 12:45:00 $52.00 2015-01-20 12:45:00 ... \n",
"2015-01-20 12:49:00 $32.00 2015-01-20 12:49:00 ... \n",
"2015-01-20 12:49:00 $52.00 2015-01-20 12:49:00 ... \n",
"2015-01-20 12:51:00 $52.00 2015-01-20 12:51:00 ... \n",
"2015-01-20 12:52:00 $52.00 2015-01-20 12:52:00 ... \n",
"2015-01-20 12:52:00 $32.00 2015-01-20 12:52:00 ... \n",
"2015-01-20 12:54:00 $32.00 2015-01-20 12:54:00 ... \n",
"2015-01-20 12:57:00 $52.00 2015-01-20 12:57:00 ... \n",
"2015-01-20 12:59:00 $52.00 2015-01-20 12:59:00 ... \n",
"2015-01-20 13:00:00 $52.00 2015-01-20 13:00:00 ... \n",
"2015-01-20 13:01:00 $32.00 2015-01-20 13:01:00 ... \n",
"2015-01-20 13:04:00 $52.00 2015-01-20 13:04:00 ... \n",
"2015-01-20 13:04:00 $32.00 2015-01-20 13:04:00 ... \n",
"2015-01-20 13:04:00 $32.00 2015-01-20 13:04:00 ... \n",
"2015-01-20 13:05:00 $32.00 2015-01-20 13:05:00 ... \n",
"2015-01-20 13:05:00 $32.00 2015-01-20 13:05:00 ... \n",
"2015-01-20 13:06:00 $32.00 2015-01-20 13:06:00 ... \n",
"2015-01-20 13:06:00 $52.00 2015-01-20 13:06:00 ... \n",
"2015-01-20 13:06:00 $32.00 2015-01-20 13:06:00 ... \n",
"2015-01-20 13:07:00 $52.00 2015-01-20 13:07:00 ... \n",
"2015-01-20 13:07:00 $32.00 2015-01-20 13:07:00 ... \n",
"2015-01-20 13:08:00 $52.00 2015-01-20 13:08:00 ... \n",
"2015-01-20 13:08:00 $32.00 2015-01-20 13:08:00 ... \n",
"2015-01-20 13:09:00 $32.00 2015-01-20 13:09:00 ... \n",
"2015-01-20 13:12:00 $32.00 2015-01-20 13:12:00 ... \n",
"2015-01-20 13:12:00 $32.00 2015-01-20 13:12:00 ... \n",
"2015-01-20 13:14:00 $32.00 2015-01-20 13:14:00 ... \n",
"2015-01-20 13:15:00 $52.00 2015-01-20 13:15:00 ... \n",
"2015-01-20 13:17:00 $32.00 2015-01-20 13:17:00 ... \n",
"2015-01-20 13:17:00 $32.00 2015-01-20 13:17:00 ... \n",
"\n",
" penaltyDate openFine openPenalty noticeDate \\\n",
"violDate \n",
"2013-01-21 08:12:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 08:16:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 08:40:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 08:46:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 08:55:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 09:17:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 09:27:00 0 $32.00 $300.00 07/01/2013 \n",
"2013-01-21 09:34:00 0 $32.00 $0.00 0 \n",
"2013-01-21 10:05:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 10:15:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 10:21:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 10:35:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 10:41:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 10:54:00 0 $0.00 $0.00 02/20/2013 \n",
"2013-01-21 11:32:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 11:41:00 0 $32.00 $0.00 0 \n",
"2013-01-21 11:48:00 0 $32.00 $300.00 07/01/2013 \n",
"2013-01-21 11:48:00 0 $32.00 $0.00 0 \n",
"2013-01-21 12:01:00 0 $0.00 $0.00 02/20/2013 \n",
"2013-01-21 12:01:00 0 $0.00 $0.00 0 \n",
"2013-01-21 12:02:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 12:14:00 0 $0.00 $0.00 0 \n",
"2013-01-21 12:25:00 0 $0.00 $0.00 02/20/2013 \n",
"2013-01-21 12:31:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 12:38:00 0 $32.00 $300.00 02/20/2013 \n",
"2013-01-21 13:11:00 0 $32.00 $325.00 02/20/2013 \n",
"2013-01-21 13:33:00 0 $32.00 $0.00 0 \n",
"2013-01-21 14:08:00 0 $0.00 $0.00 02/20/2013 \n",
"2013-01-21 15:42:00 0 $0.00 $0.00 10/30/2013 \n",
"2013-01-21 17:15:00 0 $32.00 $0.00 0 \n",
"... ... ... ... ... \n",
"2015-01-20 12:45:00 0 $52.00 $0.00 0 \n",
"2015-01-20 12:49:00 0 $32.00 $0.00 0 \n",
"2015-01-20 12:49:00 0 $52.00 $0.00 0 \n",
"2015-01-20 12:51:00 0 $52.00 $0.00 0 \n",
"2015-01-20 12:52:00 0 $52.00 $0.00 0 \n",
"2015-01-20 12:52:00 0 $32.00 $0.00 0 \n",
"2015-01-20 12:54:00 0 $32.00 $0.00 0 \n",
"2015-01-20 12:57:00 0 $52.00 $0.00 0 \n",
"2015-01-20 12:59:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:00:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:01:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:04:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:04:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:04:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:05:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:05:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:06:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:06:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:06:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:07:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:07:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:08:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:08:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:09:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:12:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:12:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:14:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:15:00 0 $52.00 $0.00 0 \n",
"2015-01-20 13:17:00 0 $32.00 $0.00 0 \n",
"2015-01-20 13:17:00 0 $32.00 $0.00 0 \n",
"\n",
" ImportDate violFine_parsed \\\n",
"violDate \n",
"2013-01-21 08:12:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 08:16:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 08:40:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 08:46:00 10/25/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 08:55:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 09:17:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 09:27:00 01/09/2015 12:02:00 PM +0000 32 \n",
"2013-01-21 09:34:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-01-21 10:05:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 10:15:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 10:21:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 10:35:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 10:41:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 10:54:00 03/08/2014 12:03:00 PM +0000 32 \n",
"2013-01-21 11:32:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 11:41:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-01-21 11:48:00 01/09/2015 12:02:00 PM +0000 32 \n",
"2013-01-21 11:48:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-01-21 12:01:00 06/27/2013 11:03:00 AM +0000 32 \n",
"2013-01-21 12:01:00 06/28/2013 11:02:00 AM +0000 32 \n",
"2013-01-21 12:02:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 12:14:00 05/25/2013 11:03:00 AM +0000 52 \n",
"2013-01-21 12:25:00 03/13/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 12:31:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 12:38:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 13:11:00 09/09/2014 11:02:00 AM +0000 32 \n",
"2013-01-21 13:33:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-01-21 14:08:00 10/01/2013 11:05:00 AM +0000 502 \n",
"2013-01-21 15:42:00 09/10/2014 11:03:00 AM +0000 32 \n",
"2013-01-21 17:15:00 05/07/2013 05:41:00 PM +0000 32 \n",
"... ... ... \n",
"2015-01-20 12:45:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 12:49:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 12:49:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 12:51:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 12:52:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 12:52:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 12:54:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 12:57:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 12:59:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:00:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:01:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:04:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:04:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:04:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:05:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:05:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:06:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:06:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:06:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:07:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:07:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:08:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:08:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:09:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:12:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:12:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:14:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:15:00 01/21/2015 12:02:00 PM +0000 52 \n",
"2015-01-20 13:17:00 01/21/2015 12:02:00 PM +0000 32 \n",
"2015-01-20 13:17:00 01/21/2015 12:02:00 PM +0000 32 \n",
"\n",
" openFine_parsed openPenalty_parsed balance_parsed \\\n",
"violDate \n",
"2013-01-21 08:12:00 32 325 357 \n",
"2013-01-21 08:16:00 32 325 357 \n",
"2013-01-21 08:40:00 32 300 332 \n",
"2013-01-21 08:46:00 32 325 357 \n",
"2013-01-21 08:55:00 32 300 332 \n",
"2013-01-21 09:17:00 32 300 332 \n",
"2013-01-21 09:27:00 32 300 332 \n",
"2013-01-21 09:34:00 32 0 32 \n",
"2013-01-21 10:05:00 32 325 357 \n",
"2013-01-21 10:15:00 32 300 332 \n",
"2013-01-21 10:21:00 32 300 332 \n",
"2013-01-21 10:35:00 32 300 332 \n",
"2013-01-21 10:41:00 32 300 332 \n",
"2013-01-21 10:54:00 0 0 0 \n",
"2013-01-21 11:32:00 32 300 332 \n",
"2013-01-21 11:41:00 32 0 32 \n",
"2013-01-21 11:48:00 32 300 332 \n",
"2013-01-21 11:48:00 32 0 32 \n",
"2013-01-21 12:01:00 0 0 0 \n",
"2013-01-21 12:01:00 0 0 0 \n",
"2013-01-21 12:02:00 32 300 332 \n",
"2013-01-21 12:14:00 0 0 0 \n",
"2013-01-21 12:25:00 0 0 0 \n",
"2013-01-21 12:31:00 32 325 357 \n",
"2013-01-21 12:38:00 32 300 332 \n",
"2013-01-21 13:11:00 32 325 357 \n",
"2013-01-21 13:33:00 32 0 32 \n",
"2013-01-21 14:08:00 0 0 0 \n",
"2013-01-21 15:42:00 0 0 0 \n",
"2013-01-21 17:15:00 32 0 32 \n",
"... ... ... ... \n",
"2015-01-20 12:45:00 52 0 52 \n",
"2015-01-20 12:49:00 32 0 32 \n",
"2015-01-20 12:49:00 52 0 52 \n",
"2015-01-20 12:51:00 52 0 52 \n",
"2015-01-20 12:52:00 52 0 52 \n",
"2015-01-20 12:52:00 32 0 32 \n",
"2015-01-20 12:54:00 32 0 32 \n",
"2015-01-20 12:57:00 52 0 52 \n",
"2015-01-20 12:59:00 52 0 52 \n",
"2015-01-20 13:00:00 52 0 52 \n",
"2015-01-20 13:01:00 32 0 32 \n",
"2015-01-20 13:04:00 52 0 52 \n",
"2015-01-20 13:04:00 32 0 32 \n",
"2015-01-20 13:04:00 32 0 32 \n",
"2015-01-20 13:05:00 32 0 32 \n",
"2015-01-20 13:05:00 32 0 32 \n",
"2015-01-20 13:06:00 32 0 32 \n",
"2015-01-20 13:06:00 52 0 52 \n",
"2015-01-20 13:06:00 32 0 32 \n",
"2015-01-20 13:07:00 52 0 52 \n",
"2015-01-20 13:07:00 32 0 32 \n",
"2015-01-20 13:08:00 52 0 52 \n",
"2015-01-20 13:08:00 32 0 32 \n",
"2015-01-20 13:09:00 32 0 32 \n",
"2015-01-20 13:12:00 32 0 32 \n",
"2015-01-20 13:12:00 32 0 32 \n",
"2015-01-20 13:14:00 32 0 32 \n",
"2015-01-20 13:15:00 52 0 52 \n",
"2015-01-20 13:17:00 32 0 32 \n",
"2015-01-20 13:17:00 32 0 32 \n",
"\n",
" ImportDate_parsed \n",
"violDate \n",
"2013-01-21 08:12:00 2014-09-09 11:02:00 \n",
"2013-01-21 08:16:00 2014-09-09 11:02:00 \n",
"2013-01-21 08:40:00 2014-09-09 11:02:00 \n",
"2013-01-21 08:46:00 2014-10-25 11:02:00 \n",
"2013-01-21 08:55:00 2014-09-09 11:02:00 \n",
"2013-01-21 09:17:00 2014-09-09 11:02:00 \n",
"2013-01-21 09:27:00 2015-01-09 12:02:00 \n",
"2013-01-21 09:34:00 2013-05-07 17:41:00 \n",
"2013-01-21 10:05:00 2014-09-09 11:02:00 \n",
"2013-01-21 10:15:00 2014-09-09 11:02:00 \n",
"2013-01-21 10:21:00 2014-09-09 11:02:00 \n",
"2013-01-21 10:35:00 2014-09-09 11:02:00 \n",
"2013-01-21 10:41:00 2014-09-09 11:02:00 \n",
"2013-01-21 10:54:00 2014-03-08 12:03:00 \n",
"2013-01-21 11:32:00 2014-09-09 11:02:00 \n",
"2013-01-21 11:41:00 2013-05-07 17:41:00 \n",
"2013-01-21 11:48:00 2015-01-09 12:02:00 \n",
"2013-01-21 11:48:00 2013-05-07 17:41:00 \n",
"2013-01-21 12:01:00 2013-06-27 11:03:00 \n",
"2013-01-21 12:01:00 2013-06-28 11:02:00 \n",
"2013-01-21 12:02:00 2014-09-09 11:02:00 \n",
"2013-01-21 12:14:00 2013-05-25 11:03:00 \n",
"2013-01-21 12:25:00 2014-03-13 11:02:00 \n",
"2013-01-21 12:31:00 2014-09-09 11:02:00 \n",
"2013-01-21 12:38:00 2014-09-09 11:02:00 \n",
"2013-01-21 13:11:00 2014-09-09 11:02:00 \n",
"2013-01-21 13:33:00 2013-05-07 17:41:00 \n",
"2013-01-21 14:08:00 2013-10-01 11:05:00 \n",
"2013-01-21 15:42:00 2014-09-10 11:03:00 \n",
"2013-01-21 17:15:00 2013-05-07 17:41:00 \n",
"... ... \n",
"2015-01-20 12:45:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:49:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:49:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:51:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:52:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:52:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:54:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:57:00 2015-01-21 12:02:00 \n",
"2015-01-20 12:59:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:00:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:01:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:04:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:04:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:04:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:05:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:05:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:06:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:06:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:06:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:07:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:07:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:08:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:08:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:09:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:12:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:12:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:14:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:15:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:17:00 2015-01-21 12:02:00 \n",
"2015-01-20 13:17:00 2015-01-21 12:02:00 \n",
"\n",
"[515488 rows x 21 columns]"
]
}
],
"prompt_number": 140
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"\n",
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(111)\n",
"plot(df_time_2.resample('M', how='count').index,\n",
" df_time_2['tag'][df_time_2['openFine_parsed']==0].resample('M', how='count')/df_time_2['tag'].resample('M', how='count'),\n",
" linewidth=2, color=red_orange)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"plt.ylim([0,1])\n",
"plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"title('% Monthly Citations Records With No Open Balance\\n', fontsize=16)\n",
"plt.subplots_adjust(top=0.9, bottom=0.15)\n",
"\n",
"fig.savefig('output/Monthly_Records_Paid.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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CmBZCuAWvhqzIZzIK395+rFySfg/v9LMdFasar+g+US0hhE/x9vcL8arVdCOo+v72AH4y\nv8IVC/DXlSq34QnkgYzl1ou+l9S89fETpw+jeBfgNRjd8H4RK+1XmZtYRoxVtQX+u/8jer4a3p8j\n3VGUn4dKOkasiXdkq0rc7+PV8ieVMc/reMm8WSm/ydiSdq0qaUcHmrvxXsc/gicoM/sQuM7MrsF7\nCi7Hq+kqLIRwH14duMJbZjy/FW/3GmZml+OdHQbg14z3rehmpD3+Mvr/TzN7BC8FjQ8hLKtE6CXF\nCf45nYTv9OVVjQMQQnjMzLYCbjaz7fH2sp/xkkBfvEfz1qxclQd+8PoVOCwqTS3Ee3VOxDtXXW1m\nhfh3c3YUV2bcE4F+ZvYm3qN/RtqPJ33ewXiv5OfM7GL8evEj8J7RJ5VRU1IiM3sR77H9KX6A3ZKK\nNSlkxpVyHf7ZX4En1MvwKuZRZnYn/nmsiV+CtUEI4R/RcufiiWyMmd0cbVcHvFPMGSGE36LpF5rZ\nAvzAswl+wvluCCGz7b4kl+Nt6S+Y2f149fVAipt4Up/JGLwn8hf4AXAX/CD9UAXeYxRezdkX78SV\n7l28+jY1X3kquk+kq2qp8lJ8e1ux4gnQYKq4v4UQfjUfIe95/Hu9FW/Ka4//DjYCDgghZNbSzQKe\njI4zc4BT8eNMel+Vc/DP8E0zexD/DlvivcrrhRAuTJu3up9VRzNLDaa0Jl4j1we4KxRfyvY6sJ8V\nD9DUHf/+fy/nfUbjndXuira3CV7b9wveqaxSopxwIXCHmT0DPI4fq7sBi0IId4YQRprZE/iAUbfg\nJ7NF+PeyF3B+CGFyZd87K2qit1tN/eHtayv0loymd8SroebhvV57VWBdJfZKzZhnCmm9x6NpG+E/\nwN/xHpTvA30y5rkcP+OslzH9IdIuXYqmXYa3vSyPllm/tPgo7sl5dNq0d0jr6Zox/yTgwyp8znvh\nPapn4yWdn6Nt7pu5jRnL7Rd9P0ujbTk6mt4VP1gvwK+NH4h3Mvlre6P5dsCrKBdF23lZGZ9ba7xa\n8Be8musz4PCMeY6N3qNDxvQVYscPfmPwg+NCvOr5MtJ6qJbyOT1ExiVfaa9dHX2nm0fP18E770zH\nSyc/4W2CmTF3w2t8fotimQiclzHPWXjV8xI8gdwBNKno/o2X1L+OPrfPo+9thf0IP/EYh+/n84Hx\npF0uU87n0hQ/AS0EumS81iaKrRBYr5Tvq6L7xEqffeZ2lBJfe0q50gGvaSvMXEdF9rdy3nPjaPkZ\nad//o8DGJcw7Ak/G/aLvZ3G0Tx5cynqfwJP8YvyE+gVWvAQ1G59V+t/vFDcl1Eub1/ATyBn4b/2d\naH+eQtoVD6V8z7tF+9tC/PKt0yj5GFOh42I0/SC88LYQrw0YA+ydEe8Z0Xe5KNquz/B9f/WKfrfZ\n/ktd+iJ1TFQ1OxE4IYRQkdKRiOQBMxuBJ8PYejBLfGpV9biUz3zc50749bI/4VVDIpIsueg4JglQ\n6zqiSblOxDtRrYVX3y0pZ34RyS+B3N6oSPKYqsdFREQSQiVtERGRhFDSFhERSQglbRERkYRQ0hYR\nEUkIJW0REZGEUNIWERFJCCVtERGRhFDSFhERSQglbRERkYRQ0hYREUkIJW0REZGEUNIWERFJCCVt\nERGRhCg3aZvZzmb2kplNN7MiMzumAstsbmYjzWxhtNyl2QlXRESk7qpISbsxMAE4E1hEOfdxNbPV\ngWHATKB7tNx5ZnZO9UIVERGp2yp1P20zmwf8M4TwSBnznApcC7QKISyJpl0MnBpCWLea8YqIiNRZ\nuWjT3h54N5WwI0OBtmbWLgfvJyIiUifkImm3BmZlTJuV9pqIiIhUQUEO1lnx+vaqzS8iIpJkVtUF\nc1HS/pmVS9St0l4TERGRKshF0h4D7GRmDdOm9QZmhBCm5uD9RERE6oSKXKfd2My6mVm3aP520fP1\notevNbPhaYs8DiwEBpvZZmZ2IHA+cEsO4hcREakzyr3ky8x2Bd6OngaK6+IHhxCON7OHgF1CCB3S\nlukC3AX0AOYC94YQrizlLdSmLSIidUmV27QrdZ12jsQegIiISA3Kq45oIiIikgNK2iIiIgmhpC0i\nIpIQStoiIiIJoaQtIiKSEEraIiIiCaGkLSIikhBK2iIiIgmhpC0iIpIQStoiIiIJoaQtIiKSEEra\nIiIiCaGkLSIikhBK2iIiIgmhpC0iIpIQStoiIiIJoaQtIiKSEEraIiIiCaGkLSIikhBK2iIiIgmh\npC0iIpIQStoiIiIJoaQtIiKSEEraIiIiCaGkLSIikhBK2iIiIgmhpC0iIpIQStoiIiIJoaQtIiKS\nEEraIiIiCaGkLSIikhBK2iIiIglREHcAIpIwv8+Bb7+A776ARqvB7gdC02ZxRyVSJ1gIIe4YYg9A\nREqwcD58PxG+/dwT9HdfwHefw6+zVpyvQUPY9QDY51jo0Qvq148lXJEEsSovqKQtUsctWwpTJxUn\n528/h++/gBlTSp5/1cbQsQt02Ax+ngofvw2p48habaHv0dDvGGi/cc1tg0iyKGmLSCW8OQRGvugJ\neuo3ULh85XkKVvHE27ELbLi5/+/YBdq0g3pp3WFmToVXH4VXBsP074qnb74d9DsW+vRX9bnIipS0\nRaSChj8NFxxS/NwM1umwcnJut5En7ooKAcaPhpcHw7AnvXodVH0usjIlbRGpgJ9/hMO6wrzf4Zjz\nYfeDoMOmXuWdTYsWwDvPe+k7vfp87XVg76O8BN6+c3bfUyQ5lLRFpByFhXDKbvDpu7DTPnDLi17K\nzrXSqs+32N6Td+9DVH0udY2StoiU44Er4d7LoGUbGDIBmrWs2fcvrfq8YSOvPu91MGzWwzuz1cTJ\nhEh8lLRFpAzj34eTdoaiIrhrGPT4W7zxpFeff/TWiq+1aA2bdodNt4FNuvvj5mvHEqZIjihpi0gp\n5v/h7dgzp8LR/4Yzro87ohXNnAqv/Q8+GQFfjfX29kyt1y9O4JtuA5tsDauvWeOhimSJkraIlCAE\nuPhwGDrEE92g92GVBnFHVboQvN174lhP4BM/hq/HFVelp1u3oyfyzaIS+cZbQeOmNR+zSOUpaYtI\nCV55GAYe673DH/sU1u8Ud0SVV1gIP06CLz8uTuSTPoMli1ecz8yvK990G9hmd9i2t7ePi+QfJW0R\nyTDtWzi8m7cfX/6QXyddWyxf5kOsTvy4uFQ+eYJPT9dhM0/e2/aGrXfJ/qVtIlWjpC0iaZYthX/s\n6Amtd3+45ona3yN7yWIf4W38aPhwGIwb6ScsKQWrwBY7FCfxTbbWQC8SFyVtEUlzxwXw8PU+5Ojj\nn9XN66CXLYUJYzyBfzjMS+Xpx7vV14Tuuxcn8XU7xBer1DVK2iIS+egt+GdvL1nfPwq67Rh3RPnh\nj7k+OtuHw+CjYSvfEGXdjsUJfJvd6+aJjtQUJW0Rwe91fVhX+OUnOGkgnHR53BHlr+nfwQdRKXzs\n2ytealavnndo235P7wvQtn1cUUrtpKQtUueFAP/aH0a9BF13hPtGQEFB3FElQ2Ghd2b7ICqFj3+/\n+M5nZtCzLxz8T9iuz4p3OBOpGiVtkTrvmXvgugHQZA14Yry3Z0vVLJzvHdneHALDn/L2cfAq9L+f\nCvscB2s0jzdGSTIlbZE67bsv4eju3oP62if9JhySHXNnw0uD4Nl7ffQ28PHS+xzqpe9Nu8cbnySR\nkrZInbVkMRzTwy932uc4uHxQ3BHVToWFMPo1eOZueP+N4umbbgMHD/BL6xqtGl98kiS5TdpmNgA4\nD2gNfAmcFUJ4r4z59wYuAzYFlgCjgfNCCJNLmF1JW6Q6bjwDnrzDRzv73zhYrUncEdV+0771kvdL\ng+DP33zaGs1h3+PhoFO8Gl2kdLlL2mbWH3gUOBV4D/gncBywaQhhWgnzbwhMBG4B7geaAtcDHUMI\nJY2hqKQtUlXvvQpn9fOBQx4a4wOGSM1ZvBCGPglP3wVffeLTzLzX+cEDYIe9NICLlCSnSftD4LMQ\nwslp0yYBz4QQLiph/r8DQ4BVQrRyM9sNeAtoGUKYm7GIkrZIVcyZCYdu4Zd5nXEDHH1e3BHVXSH4\n2OhP3+X3Cl+6xKe3bQ8HngL7HQ9rrhVriJJXcpO0zawBsAA4NITwbNr0O4EuIYRdS1imDfAV8G/g\nQWA14E6gcwhhuxLeRklbpLKKiuD0Pf0a4x694M43dSlSvvh9Drz0EDx7T/EALqs0gL5Hw7EXqOpc\nIIdJuy0wHdg5vQ3bzC4DDg8hbFzKcjsALwBrAvWAT4G9Qgi/lDC7krZIZf3vZrjtXGjWEoZMgJZt\n4o5IMhUWwpg3vePa6Ne8NF6vHuxxGBx7IXTcLO4IJT5VTtpZPzU3sw54wn4I6A7sCswDnjKr7Xcs\nEKkBX30Cd17ojy8bpISdr+rXh557w22vwNNf+chqVg9efwz6d4HzDvJ7hYtUQlWrx+/CO6LtVsIy\n1wO9Qghbp01bB5gG9AwhvJ+xiEraIhW1cD4cuRX8ONmvET7/zrgjksr46Qd45AbvdZ5q995hTzj+\nYujWM9bQpEblpqQdQlgKfAL0yXipN5CZfNODKcqYlnquRjeR6rj5LE/YHbvAmTfGHY1UVtv2cMHd\n8NIUOPJf0Gg1v+b7hJ3gpF19GNX4x86QPFaR3uOH4Jd8DcAT9Sn4JV+bhRCmmdm1wDYhhF7R/D2B\nkcBAvBd5U+AaYGNgkxDCooy30B4qUhHDn4YLDoEGDeGRsbBhl7gjkur6fQ48cbtfZz//D5+2WQ8v\nee+8T+2/B3rdlfPBVU7Fe4O3AT4Hzk51TDOzh4BdQggd0ub/O3AB0BlYCIwBLgghfF3C6pW0Rcrz\n6yz4+8Z+J6p/3wmH/DPuiCSb5v8BT90Fj9/qiRxgw809ef/t77rWu/bRMKYitdqlR8Hr/4Pt94D/\ne10lsNpq0QJ47n74301+e1WA9TeC4y6EvY7wQXSkNlDSFqm1xr4Dp+zuN6l48gtd51sXLF0CLw+G\nh6/zzmvgd207+t8+VGrDRnFGJ9WnpC1SKy1bCod1hR++hlOugBMujTsiqUnLl8EbT8Dga30fAGjR\n2u8stkYLv04//S992urNVa2ev5S0RWqlQdfA3Rd7FemQCd4JTeqewkJ45zkYdDVMGl+xZcygabO0\nhN4SmrVIe9wSmq8NW+8KjZvmNHxZiZK2SK0zYwocsqnfevPu4dDjb3FHJHELwQfXmT0D/vjVO62l\n/tKf/zHH7z5WkeP7ak18iNW/D9AobTVHSVukVgkBzt7H7+K1x2Fw9eNxRyRJU1gI835LS+y/rpzg\np34NE8YUL7PVLn5lwq77q9Nbbilpi9Qq7zwP5x0IjVeHZ7+Blq3jjkhqq2+/8PHRX3vUR9wDHxr3\ngJPgwJNgrbbxxlc7KWmL1BoL58PBm8Cs6XDeHdD/tLgjkrpg/p+euJ++C6Z85dPq14ddD/Ahc7fe\nRZcaZo+Stkitcdu5fhevTbaGwR+qB7DUrBDgk5GevEc879XsAB029XbvvY+CJqvHG2PyKWmL1AqT\nJ/gNQYqK4OGP/NIekbjMngHP/xeevx/mzPRp6riWDUraIolXVOQ3jpjwvu7gJfll+TIY8YIPtTpu\nZPH0rXaBgwfAbgeo41rlKGmLJN4LD8JVJ0CLVvDM136NrUi++fYLePYeePWRFTuuHXEOHHYWFBTE\nG18yKGmLJNrvc+CgzvDHXLjqMdjz8LgjEinb/D99PPyn74LvJ/q0LtvCwIehfed4Y8t/StoiiXbF\nP+ClQT6Ayl3D1EtXkiMEGP0aXHuKX/HQsBGcdh30Px3q1Ys7unylpC2SWJ+NhhN6wioN4IkJKqVI\nMs37HW4+C1552J9vtQtc/hCss0G8ceWnKidtnQaJxGn5Mi+hgN/BSQlbkqppMxg4GG56wcc0HzcS\nDtvCbzUaf+Gw1lDSFonTE7fDd1/AOh3guIvijkak+nbdD576Enod7B3VrjkZztjLLx+TalP1uEhc\nfp7mI58tWgC3vwY77hV3RCLZNfRJuH6Ad7Bs2sxH+NvrCPXZUPW4SALdfKYn7N0PUsKW2qlPf3jy\nC9ipn7d5X3YU/PsgmDs77sgSSyVtkTi89yqc1c9Hl3r6K2i1btwRieROCPDyYD9RXTDP7+V90X2w\n+4FxRxb7KSQ3AAAgAElEQVQXlbRFEmPxQrghugnISf9Rwpbazwz2PQ6GfA7b7O7jEvz7ILj0SL/v\nt1SYkrZITXvwavjpB+i0BRx6RtzRiNScNu18HIJ/3wmNVoPXH4P+XWD063FHlhiqHhepSVO+gsO6\n+qVeD46GrjvEHZFIPH6cDAOP9bH2AfY/Ac6+BRo3jTWsGqLqcZG8FwJcN8AT9v4nKGFL3bZ+J/jv\nKDjzRh9Y6IUH/LrusSPijiyvqaQtUlNe+5/3nm3W0m8I0qxF3BGJ5IfvvoSBx8BXn/jzkwbCSZfH\nGlKOqaQtktf+/A1uPccfn3GDErZIuo6bwUNj4OT/QP36cP9A+HB43FHlJSVtkZpw10Xw2y+w5U7Q\n75i4oxHJPwWrwImXwclX+PMr/+F3EpMVKGmL5NoXH8Fz90H9ArjgHt35SKQsR/8bNu0OP/8It58X\ndzR5R0cPkVxavtxvCBICHHGOVwOKSOkKCuDywd457fn74YNhcUeUV5S0RXLpmbvhm0+h9fpe9Sci\n5eu4mXdGA1WTZ1DSFsmViWO9LRvg3P+DVRvHG49Ikhx1nleTz5oGt58bdzR5Q0lbJBemfw9n9fUb\ngvQ7xm9XKCIVt0I1+X/hg6FxR5QXlLRFsu33OX7/4LmzoUcvuPj+uCMSSaYVqslPgPl/xBpOPlDS\nFsmmxYvgnH3hx0mwUVe44VkvKYhI1Rx1Hmy6TVRNrt7kStoi2VJYCJccDhPGeMez21+DJqvHHZVI\nshUUwMDBqiaPKGmLZEMIcNOZMOIFaNoM/u91WKtt3FGJ1A4dNvXR0qDOV5MraYtkwyM3wtN3eWng\n5hf9ICMi2XPkubBZD68mv63u9iZX0haprjcehzvO98dX/g+22jneeERqo4ICuPyh4juCjXkz7ohi\noaQtUh0fv+33BAa/F3Cvg2MNR6RWS68mv6puVpMraYtU1eQJcO4Bfn/sw8+GI86OOyKR2u+vavLp\ncOu/4o6mxul+2iJV8fM0OH57mD3DS9fXDNGNQERqyvcT4YgtYdlS7/S5w55xR1RZup+2SI2Z97sP\nnjJ7ht9q8z+PKGGL1KQOmxbfwvPqE+tUNbmONCKVsXSJV4l//yVssAnc9AI0bBR3VCJ1z5H/qpPV\n5EraIhVVVOSdzj4ZAS3bwB1vwBrN445KpG5KDbrSoCG8+CC8/0bcEdUIJW2RirrjAhg6BBo39dHO\nWq8fd0QiddsGm9S5anIlbZGKGHIHPHoj1C+A65+Fzt3ijkhEwKvJu2zr1eS3nBN3NDmnpC1Snree\nhZvP9MeXDYLtescbj4gUq1/fB11p0BBeGgSjX487opxS0hYpy2ej4dIjfGzxAVdD36PijkhEMmVW\nk8/7Pd54ckhJW6Q0P3wN5+zjPcYPOgWOuzDuiESkNKlq8tkzanU1uQZXESnJnJ/huO1g5lTYaR+4\n8TnvrSoi+euHr+Hwbn6ifftrsONecUdUGg2uIpI18/+Es/p6wu6yLVw7RAlbJAnabwynXOmPa2k1\nuZK2SLoF83y0s6/HwXobwq0vQ6PV4o5KRCrqiHNg8+1qbTW5qsdFUhbMg9P3hAnv+zXY942AdTaI\nOyoRqaz0avLHPs3HSzRVPS5SLakS9oT3odV6cO87StgiSdV+Y9jnOH884vl4Y8kyJW2RVMIeP9oT\n9n0jYN0OcUclItWx877+f9TL8caRZRVK2mY2wMymmNkiMxtrZj0rsMxZZva1mS02s5/M7NrqhyuS\nZQvmwZl7Rwl7XbjvHSVskdqg+26wamP45lMfLa2WKDdpm1l/4DbgKqAb8D7wupmtV8YytwCnAucB\nGwN7ASOzEbBI1iyc7wn7s/eihD0C1u0Yd1Qikg0NG8G20eiF79ae0nZFStrnAA+FEB4MIXwTQjgD\nmIkn5ZWYWWfgNGDfEMLLIYQfQgjjQwh14xYskgzpCXvtdbwNWwlbpHaphVXkZSZtM2sAbAUMzXhp\nKLBDKYvtB3wP7G1m30fV6oPNbK1qRyuSDQvn+3XYn77rCfu+EX55l4jULj37ghmMfRsWLYg7mqwo\nr6TdEqgPzMqYPhtoXcoyHYB2wCHA0cBReBX5y2ZW5W7uIlmxaIEn7HGjYK22XsJWwhapnZqv7QMk\nLV0CHw6LO5qsyEXv8XpAQ+CoEMJ7IYT38MTdA+ieg/cTqZhFC+DMtIR93whYv1PcUYlILu20j/8f\n+VK8cWRJeUl7DlAItMqY3gpv1y7JTGB5COHbtGnfRutZvypBilTbogVwVj8YN1IJW6QuSbVrj34V\niorijSULykzaIYSlwCdAn4yXeuO9yEvyHlBgZunXzXTAq9mnVjFOkapbtADO3gc+GQEt23iVuBK2\nSN3QcTNo2x7mzoYvP4o7mmqrSPX4LcCxZvYPM9vEzG7H27PvBTCza81seNr8w4FxwCAz62ZmWwKD\ngA9CCGOzHL9I2RYv9IQ99h1P2PeNgHYbxR2ViNQUs+Iq8lHJryIvN2mHEJ4CzgIuAT7Fe43vHUKY\nFs3SGi9Jp+YPQD+8s9oo4A3gR7xXuUjNWbzQq8RTCfved5SwReqiv5J28i/90g1DpHZKlbA/fhta\ntPYSdvvOcUclInFYthR6tfQREF+a4tXl8dINQ0T+snghnLNvWsJ+RwlbpC5bpQFsv6c/TnhpW0lb\napfFi+Cc/eCjt6BFqyhhbxx3VCISt1rSrq3qcak9Fi/yEvZHwz1h3/sObLBJ3FGJSD74/VfoszbU\nqw/D50CT1eOMRtXjUsctWQz/2q84Yd/zthK2iBRr1gK67gjLl8EHb8YdTZUpaUvyLV8GFxziwxQ2\nX9sTdodN445KRPJNLehFrqQtyVZUBAOP9VvvrdEc7n5LCVtESrZzlLRHvwrLl8cbSxUpaUtyhQDX\n/xPeeBxWawL/9wZs2CXuqEQkX7Xr7DcI+mMufD4m7miqRElbkikEuOMCePZev9n9LS/DZtvEHZWI\n5DOzxN9jW0lbkmnwdfDIDVC/AK5/BrrvGndEIpIECb/0S0lbkuepu+Cui/ys+YpH/Ub3IiIV0W1H\naNoMpn4DP06OO5pKU9KWZHn1UbjhNH984b2wx6HxxiMiyVKwCuy4tz9OYBW5krYkx4gX4Irj/PGZ\nN8KBJ8Ubj4gkU6qK/N3kJW2NiCbJ8OFwOKuvD/z/j0vg1CvjjkhEkmre79BrLSDAsF9g9TVrOgKN\niCa12IQxPtrZsqXQ/3Q45Yq4IxKRJGvaDLbcCQoL4f3X446mUpS0Jb9NGg9n7u137up3DPzrNu+A\nJiJSHQm99EtJW/LX1ElwWh+vytrtQLjkAainXVZEsiA1Otr7r/tQyAmhI6Dkp59/hAG9YO5s2K4P\nXP04FBTEHZWI1BbrdvSbCs3/Az59N+5oKkxJW/LPr7M8Yc+a5nflufE5aNAw7qhEpLZJ4A1ElLQl\nv/z5G5y+hw96sFE3uO0VWLVx3FGJSG2Uatd+92UfGjkBlLQlfyyc75d1TRrvA/vf+ab38hQRyYXN\nt4NmLWH6dzDlq7ijqRAlbckPSxbDuQf45V2t14e7ontji4jkSv36iRsdTUlb4rd8OVx8GHw0HFq0\ngruHQ+v14o5KROqChI2OpqQ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rrwNrNIc/f4PZM7K22nKTdghhKfAJ0Cfjpd54L/ISmdnO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\nRkZGRk2QH9oZGRkZGRk1wf8Dd/ssvqhdPU4AAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x111c19ed0>"
]
}
],
"prompt_number": 138
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"red_orange = '#FF3300'\n",
"\n",
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(111)\n",
"plot(df_time_2.resample('M', how='count').index,\n",
" df_time_2['balance_parsed'][df_time_2['violFine_parsed']>0].resample('M', how='sum')/df_time_2['violFine_parsed'].resample('M', how='sum'),\n",
" linewidth=2, color=red_orange)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"plt.ylim([0,1.1])\n",
"plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"title('% Monthly Citations Records With No Open Balance\\n', fontsize=18)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 125,
"text": [
"<matplotlib.text.Text at 0x10fab42d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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K1k8nSmtnp2X4BlE//b7jVAeP25WmeYKoJ6+mahuRLg3cZrYWcZZ+iLuXWpuvxbLN/F8h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\nTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x10faaf710>"
]
}
],
"prompt_number": 125
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2.resample('M', how='count').index"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 134,
"text": [
"<class 'pandas.tseries.index.DatetimeIndex'>\n",
"[2013-01-31, ..., 2015-01-31]\n",
"Length: 25, Freq: M, Timezone: None"
]
}
],
"prompt_number": 134
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"My Block"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"block_1200_Charles = groupby_loc.get_group('1200 CHARLES ST').groupby('Description')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print 'Fines Issued at 1200 N. Charles St.\\n'\n",
"\n",
"block_1200_Charles_fines = pd.DataFrame(columns=['total_fines_issued'])\n",
"\n",
"for key, group in block_1200_Charles:\n",
" \n",
" #print key, block_1200_Charles['violFine_parsed'].get_group(key).sum()\n",
"\n",
" block_1200_Charles_fines.ix[key] = block_1200_Charles['violFine_parsed'].get_group(key).sum()\n",
" \n",
"block_1200_Charles_fines.sort('total_fines_issued',ascending=False, inplace=True)\n",
"block_1200_Charles_fines.to_csv('output/1200_Block_N_Charles.csv') \n",
"block_1200_Charles_fines"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Fines Issued at 1200 N. Charles St.\n",
"\n"
]
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>total_fines_issued</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>All Other Parking Meter Violations</th>\n",
" <td> 50816</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Residential Parking Permit Only</th>\n",
" <td> 31980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Tow Away Zone</th>\n",
" <td> 30420</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping//Parking Stadium Event Camden</th>\n",
" <td> 22440</td>\n",
" </tr>\n",
" <tr>\n",
" <th>In Transit Zone/Stop</th>\n",
" <td> 18557</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Park Street Cleaning</th>\n",
" <td> 8632</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Expired Tags</th>\n",
" <td> 3584</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Not Tow-Away Zone</th>\n",
" <td> 2336</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Less Than 15 feet from Fire Hydrant</th>\n",
" <td> 2079</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Passenger Loading Zone</th>\n",
" <td> 928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Flow of Traffic</th>\n",
" <td> 510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Movement of Pedestrian</th>\n",
" <td> 385</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All Other Stopping or Parking Violations</th>\n",
" <td> 256</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 123,
"text": [
" total_fines_issued\n",
"All Other Parking Meter Violations 50816\n",
"Residential Parking Permit Only 31980\n",
"No Stopping/Standing Tow Away Zone 30420\n",
"No Stopping//Parking Stadium Event Camden 22440\n",
"In Transit Zone/Stop 18557\n",
"No Stop/Park Street Cleaning 8632\n",
"Expired Tags 3584\n",
"No Stopping/Standing Not Tow-Away Zone 2336\n",
"Less Than 15 feet from Fire Hydrant 2079\n",
"Passenger Loading Zone 928\n",
"Obstruct/Impeding Flow of Traffic 510\n",
"Obstruct/Impeding Movement of Pedestrian 385\n",
"All Other Stopping or Parking Violations 256"
]
}
],
"prompt_number": 123
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"block_1200_Charles['violFine_parsed'].get_group(key).sum()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 54,
"text": [
"31980.0"
]
}
],
"prompt_number": 54
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>total_fines_issued</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>All Other Parking Meter Violations</th>\n",
" <td> 50816</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All Other Stopping or Parking Violations</th>\n",
" <td> 256</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Expired Tags</th>\n",
" <td> 3584</td>\n",
" </tr>\n",
" <tr>\n",
" <th>In Transit Zone/Stop</th>\n",
" <td> 18557</td>\n",
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" <tr>\n",
" <th>Less Than 15 feet from Fire Hydrant</th>\n",
" <td> 2079</td>\n",
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" <th>No Stop/Park Street Cleaning</th>\n",
" <td> 8632</td>\n",
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" <tr>\n",
" <th>No Stopping//Parking Stadium Event Camden</th>\n",
" <td> 22440</td>\n",
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" <tr>\n",
" <th>No Stopping/Standing Not Tow-Away Zone</th>\n",
" <td> 2336</td>\n",
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" <th>No Stopping/Standing Tow Away Zone</th>\n",
" <td> 30420</td>\n",
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" <th>Obstruct/Impeding Flow of Traffic</th>\n",
" <td> 510</td>\n",
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" <td> 385</td>\n",
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" <th>Passenger Loading Zone</th>\n",
" <td> 928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Residential Parking Permit Only</th>\n",
" <td> 31980</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 79,
"text": [
" total_fines_issued\n",
"All Other Parking Meter Violations 50816\n",
"All Other Stopping or Parking Violations 256\n",
"Expired Tags 3584\n",
"In Transit Zone/Stop 18557\n",
"Less Than 15 feet from Fire Hydrant 2079\n",
"No Stop/Park Street Cleaning 8632\n",
"No Stopping//Parking Stadium Event Camden 22440\n",
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"No Stopping/Standing Tow Away Zone 30420\n",
"Obstruct/Impeding Flow of Traffic 510\n",
"Obstruct/Impeding Movement of Pedestrian 385\n",
"Passenger Loading Zone 928\n",
"Residential Parking Permit Only 31980"
]
}
],
"prompt_number": 79
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "ImportError",
"evalue": "No module named plot.ly",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-85-d16530bb44ab>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mplot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mly\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mImportError\u001b[0m: No module named plot.ly"
]
}
],
"prompt_number": 85
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"groupby_loc.get_group('1200 CHARLES ST').groupby('Description').count()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>balance</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Description</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>All Other Parking Meter Violations</th>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" <td> 1588</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All Other Stopping or Parking Violations</th>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" <td> 8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Expired Tags</th>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" <td> 112</td>\n",
" </tr>\n",
" <tr>\n",
" <th>In Transit Zone/Stop</th>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" <td> 241</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Less Than 15 feet from Fire Hydrant</th>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" <td> 27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stop/Park Street Cleaning</th>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" <td> 166</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping//Parking Stadium Event Camden</th>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" <td> 220</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No Stopping/Standing Not Tow-Away Zone</th>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
" <td> 73</td>\n",
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" <th>No Stopping/Standing Tow Away Zone</th>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" <td> 585</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Flow of Traffic</th>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Obstruct/Impeding Movement of Pedestrian</th>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Passenger Loading Zone</th>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" <td> 29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Residential Parking Permit Only</th>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" <td> 615</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
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"text": [
" tag expmm expyy make state \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 1588 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 8 8 8 \n",
"Expired Tags 112 112 112 112 112 \n",
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"No Stop/Park Street Cleaning 166 166 166 166 166 \n",
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"No Stopping/Standing Tow Away Zone 585 585 585 585 585 \n",
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"Residential Parking Permit Only 615 615 615 615 615 \n",
"\n",
" location violCode violFine \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 8 \n",
"Expired Tags 112 112 112 \n",
"In Transit Zone/Stop 241 241 241 \n",
"Less Than 15 feet from Fire Hydrant 27 27 27 \n",
"No Stop/Park Street Cleaning 166 166 166 \n",
"No Stopping//Parking Stadium Event Camden 220 220 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 73 73 \n",
"No Stopping/Standing Tow Away Zone 585 585 585 \n",
"Obstruct/Impeding Flow of Traffic 5 5 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 5 5 \n",
"Passenger Loading Zone 29 29 29 \n",
"Residential Parking Permit Only 615 615 615 \n",
"\n",
" violDate balance penaltyDate \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 8 \n",
"Expired Tags 112 112 112 \n",
"In Transit Zone/Stop 241 241 241 \n",
"Less Than 15 feet from Fire Hydrant 27 27 27 \n",
"No Stop/Park Street Cleaning 166 166 166 \n",
"No Stopping//Parking Stadium Event Camden 220 220 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 73 73 \n",
"No Stopping/Standing Tow Away Zone 585 585 585 \n",
"Obstruct/Impeding Flow of Traffic 5 5 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 5 5 \n",
"Passenger Loading Zone 29 29 29 \n",
"Residential Parking Permit Only 615 615 615 \n",
"\n",
" openFine openPenalty noticeDate \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 8 \n",
"Expired Tags 112 112 112 \n",
"In Transit Zone/Stop 241 241 241 \n",
"Less Than 15 feet from Fire Hydrant 27 27 27 \n",
"No Stop/Park Street Cleaning 166 166 166 \n",
"No Stopping//Parking Stadium Event Camden 220 220 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 73 73 \n",
"No Stopping/Standing Tow Away Zone 585 585 585 \n",
"Obstruct/Impeding Flow of Traffic 5 5 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 5 5 \n",
"Passenger Loading Zone 29 29 29 \n",
"Residential Parking Permit Only 615 615 615 \n",
"\n",
" ImportDate violFine_parsed \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 \n",
"Expired Tags 112 112 \n",
"In Transit Zone/Stop 241 241 \n",
"Less Than 15 feet from Fire Hydrant 27 27 \n",
"No Stop/Park Street Cleaning 166 166 \n",
"No Stopping//Parking Stadium Event Camden 220 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 73 \n",
"No Stopping/Standing Tow Away Zone 585 585 \n",
"Obstruct/Impeding Flow of Traffic 5 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 5 \n",
"Passenger Loading Zone 29 29 \n",
"Residential Parking Permit Only 615 615 \n",
"\n",
" openFine_parsed \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 \n",
"All Other Stopping or Parking Violations 8 \n",
"Expired Tags 112 \n",
"In Transit Zone/Stop 241 \n",
"Less Than 15 feet from Fire Hydrant 27 \n",
"No Stop/Park Street Cleaning 166 \n",
"No Stopping//Parking Stadium Event Camden 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 \n",
"No Stopping/Standing Tow Away Zone 585 \n",
"Obstruct/Impeding Flow of Traffic 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 \n",
"Passenger Loading Zone 29 \n",
"Residential Parking Permit Only 615 \n",
"\n",
" openPenalty_parsed balance_parsed \\\n",
"Description \n",
"All Other Parking Meter Violations 1588 1588 \n",
"All Other Stopping or Parking Violations 8 8 \n",
"Expired Tags 112 112 \n",
"In Transit Zone/Stop 241 241 \n",
"Less Than 15 feet from Fire Hydrant 27 27 \n",
"No Stop/Park Street Cleaning 166 166 \n",
"No Stopping//Parking Stadium Event Camden 220 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 73 \n",
"No Stopping/Standing Tow Away Zone 585 585 \n",
"Obstruct/Impeding Flow of Traffic 5 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 5 \n",
"Passenger Loading Zone 29 29 \n",
"Residential Parking Permit Only 615 615 \n",
"\n",
" ImportDate_parsed \n",
"Description \n",
"All Other Parking Meter Violations 1588 \n",
"All Other Stopping or Parking Violations 8 \n",
"Expired Tags 112 \n",
"In Transit Zone/Stop 241 \n",
"Less Than 15 feet from Fire Hydrant 27 \n",
"No Stop/Park Street Cleaning 166 \n",
"No Stopping//Parking Stadium Event Camden 220 \n",
"No Stopping/Standing Not Tow-Away Zone 73 \n",
"No Stopping/Standing Tow Away Zone 585 \n",
"Obstruct/Impeding Flow of Traffic 5 \n",
"Obstruct/Impeding Movement of Pedestrian 5 \n",
"Passenger Loading Zone 29 \n",
"Residential Parking Permit Only 615 "
]
}
],
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},
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"collapsed": false,
"input": [
"(df_time_2['violFine_parsed'].resample('D',how='sum')/df_time_2['balance_parsed'].resample('D',how='sum')).plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 153,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x111c0ded0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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MzDbIZtm6Fdhjj9zHJknM46RmxLwjeLxJIulxmsyukHbmxXjmhWbmuTzzfAXIayEVm5k7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\n2c3cNm3ye+a2zWL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lO8cslcMffVTaOKvgY1GU7GzZ4ghUUPZs/yw2Il7IuNfm3Js2uXs5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\n/Hhn6NqjjpLXXXZxjjHZfa7epIqi+Kk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"text": [
"<matplotlib.figure.Figure at 0x1116af090>"
]
}
],
"prompt_number": 153
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"(df_time_2['balance_parsed'].resample('M',how='sum')/df_time_2['violFine_parsed'].resample('M',how='sum')).plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 157,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x1113cf610>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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zLFkCc+dmWbIE1lgjLM+bF17v0SMsf/552F+PHmH/CxaE5dVWC8tffrl82ezb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\nMh+XAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x10f81e7d0>"
]
}
],
"prompt_number": 157
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"(df_time_2['balance_parsed'][df_time_2['balance_parsed']==0].resample('M',how='count')/df_time_2['violFine_parsed'].resample('M',how='count')).plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 159,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10faeec50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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1D7D2I7a2ta1tbRfT9ooV8MknVXz7LYwbt+r5VCrFsGHDAFbmyyg0Os/ezPYE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\nlOxFREqAkr2ISAn4/6CQ2E+O0mqsAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x10faf1450>"
]
}
],
"prompt_number": 159
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['balance_parsed'][df_time_2['balance_parsed']==0].resample('M',how='count')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 161,
"text": [
"violDate\n",
"2013-01-31 454\n",
"2013-02-28 1470\n",
"2013-03-31 3192\n",
"2013-04-30 2504\n",
"2013-05-31 2353\n",
"2013-06-30 2680\n",
"2013-07-31 3872\n",
"2013-08-31 4367\n",
"2013-09-30 4636\n",
"2013-10-31 7079\n",
"2013-11-30 8999\n",
"2013-12-31 15385\n",
"2014-01-31 25413\n",
"2014-02-28 25921\n",
"2014-03-31 31351\n",
"2014-04-30 29706\n",
"2014-05-31 28504\n",
"2014-06-30 26010\n",
"2014-07-31 26758\n",
"2014-08-31 25209\n",
"2014-09-30 22809\n",
"2014-10-31 22833\n",
"2014-11-30 17444\n",
"2014-12-31 16604\n",
"2015-01-31 1920\n",
"Freq: M, Name: balance_parsed, dtype: int64"
]
}
],
"prompt_number": 161
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['violFine_parsed'].resample('M',how='count')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 162,
"text": [
"violDate\n",
"2013-01-31 1642\n",
"2013-02-28 4657\n",
"2013-03-31 10090\n",
"2013-04-30 7084\n",
"2013-05-31 6284\n",
"2013-06-30 6541\n",
"2013-07-31 8034\n",
"2013-08-31 8585\n",
"2013-09-30 8157\n",
"2013-10-31 11269\n",
"2013-11-30 12999\n",
"2013-12-31 19531\n",
"2014-01-31 29238\n",
"2014-02-28 29514\n",
"2014-03-31 36614\n",
"2014-04-30 35166\n",
"2014-05-31 34387\n",
"2014-06-30 32294\n",
"2014-07-31 34428\n",
"2014-08-31 32631\n",
"2014-09-30 30457\n",
"2014-10-31 32193\n",
"2014-11-30 27931\n",
"2014-12-31 38547\n",
"2015-01-31 17245\n",
"Freq: M, Name: violFine_parsed, dtype: int64"
]
}
],
"prompt_number": 162
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure()\n",
"\n",
"(df_time_2['openFine_parsed'].resample('D',how='sum')/df_time_2['violFine_parsed'].resample('D',how='sum')).plot()\n",
"(df_time_2['openPenalty_parsed'].resample('D',how='sum')/df_time_2['violFine_parsed'].resample('D',how='sum')).plot()\n",
"\n",
"plt.grid('off')\n",
"\n",
"legend(['Total Open Fines / Total Fines','Total Open Penalties / Total Fines'])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 173,
"text": [
"<matplotlib.legend.Legend at 0x112ec2550>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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ppaWlTT4u4QmdhRDHAjdIKU8J225tAB0KPBCrAbSyrpLs+7J5e+zbnNrv1PBimt1AN4Bq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\n82YDIwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x112ec0290>"
]
}
],
"prompt_number": 173
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A couple of things may be going on here but I have a hunch. Through 2013 there was a massive uptick in the number of total parking fines issued, while over the course of 2014 the total parking fines issued was relatively consistent. Since the 2013 is a shifting sample size we might be seeing a regression towards the mean, though at 5,000 to 10,000 total citations issued this really shouldn't be the case. So why would there be a massive change over time in the percentage of fines and penalties paid? I think what might be going on is that due to the shift in policing tactics, more affluent neighborhoods started to become targets for parking citations, which resulted in parking fines being much more quickly paid. If you haven't paid it in a year why would you be more likely to pay it off within two with such a dramatic increase in likelihood? In other words, why should there be such a radical change in the slope of the curves at January 2014?\n",
"\n",
"Okay, maybe penalties increase at 1 year pretty steeply... but looking at the blue curve only (open fines) there is still a change in behavior at Jan 2014. Open "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure()\n",
"\n",
"(df_time_2['balance_parsed'][df_time_2['balance_parsed']==0].resample('M',how='count')/df_time_2['violFine_parsed'].resample('M',how='count')).plot()\n",
"\n",
"plt.grid('off')\n",
"\n",
"#legend(['Total Open Fines / Total Fines','Total Open Penalties / Total Fines'])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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yFxFJgEQkezPrbWZzzGy+mQ2o5fmfmtl0M5thZpPMbK/oQxURKV6xJ3szKwOG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\n",
"text": [
"<matplotlib.figure.Figure at 0x113551ed0>"
]
}
],
"prompt_number": 175
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import plotly.plotly as py\n",
"\n",
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"plot1 = (df_time_2['openFine_parsed'].resample('D',how='sum')/df_time_2['violFine_parsed'].resample('D',how='sum')).plot(color=red_orange)\n",
"#(df_time_2['openPenalty_parsed'].resample('D',how='sum')/df_time_2['violFine_parsed'].resample('D',how='sum')).plot()\n",
"linear_ext = pd.DataFrame([.03, .11],index=[pd.to_datetime('01-feb-2013'),pd.to_datetime('20-dec-2013')])\n",
"plot2 = linear_ext[0].plot(color=red_orange, linestyle='--', linewidth=3)\n",
"\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"plt.ylim([0,1.1])\n",
"#plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"plt.title('% Daily Total Fines Issued Remaining Unpaid', fontsize=18)\n",
"plt.xlabel('')\n",
"plt.grid('off')\n",
"\n",
"#fig.savefig('output/Daily_Total_Fines_Unpaid.png', bbox_tight='inches')\n",
"#py.iplot_mpl(fig)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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ZtFdcVgk3/Nx7borUxkaBJc8DLz5ZuH4xt20cddDY4/XIUT/7EHDfrbXtQxAE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\n",
"text": [
"<matplotlib.figure.Figure at 0x116206310>"
]
}
],
"prompt_number": 303
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"plot1 = (df_time_2['openFine_parsed'][df_time_2['openFine_parsed']>0].resample('D',how='count')/df_time_2['violFine_parsed'].resample('D',how='count')).plot(color=red_orange)\n",
"#(df_time_2['openPenalty_parsed'].resample('D',how='sum')/df_time_2['violFine_parsed'].resample('D',how='sum')).plot()\n",
"linear_ext = pd.DataFrame([.03, .11],index=[pd.to_datetime('01-feb-2013'),pd.to_datetime('20-dec-2013')])\n",
"plot2 = linear_ext[0].plot(color=red_orange, linestyle='--', linewidth=3)\n",
"\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"plt.ylim([0,1.1])\n",
"#plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"plt.title('% Daily Number Citations Issued Remaining Unpaid', fontsize=18)\n",
"plt.xlabel('')\n",
"plt.grid('off')\n",
"\n",
"#fig.savefig('output/Daily_Citations_Unpaid.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Ctt9fAD4HdAP3Am9zzvWMcvkNwzAMI5t43+TRNt2NVS7cAM65i4GLcyw7MWHe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\n160K58VbjjQ1w02rs13oRnHJac65i51z2znnmpx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FlVtwWrfy4hPJN09r1yQusyHujk4n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\nHmHCbRiGYRh5hAm3YRiGYeQR/x83zCFswCfpVAAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11ce41a90>"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['openFine_parsed'].resample('D',how='count')\n",
"#df_time_2['openFine_parsed'][df_time_2['openFine_parsed']>0].resample('D',how='count')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 309,
"text": [
"violDate\n",
"2013-01-21 31\n",
"2013-01-22 228\n",
"2013-01-23 171\n",
"2013-01-24 139\n",
"2013-01-25 178\n",
"2013-01-26 85\n",
"2013-01-27 70\n",
"2013-01-28 199\n",
"2013-01-29 180\n",
"2013-01-30 165\n",
"2013-01-31 196\n",
"2013-02-01 214\n",
"2013-02-02 82\n",
"2013-02-03 59\n",
"2013-02-04 199\n",
"...\n",
"2015-01-06 673\n",
"2015-01-07 1143\n",
"2015-01-08 1033\n",
"2015-01-09 1103\n",
"2015-01-10 774\n",
"2015-01-11 279\n",
"2015-01-12 1212\n",
"2015-01-13 1277\n",
"2015-01-14 1206\n",
"2015-01-15 1231\n",
"2015-01-16 1271\n",
"2015-01-17 863\n",
"2015-01-18 483\n",
"2015-01-19 0\n",
"2015-01-20 469\n",
"Freq: D, Name: openFine_parsed, Length: 730"
]
}
],
"prompt_number": 309
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Need heat map for 2013 citations and 2014 citations."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['city'] = 'Baltimore'\n",
"df_time_2['state'] = 'MD'\n",
"#df_time_2[['location','city','state']].ix['2013'].to_csv('output/2013_citation_locations.csv')\n",
"#df_time_2[['location','city','state']].ix['2014'].to_csv('output/2014_citation_locations.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
"-c:2: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Random samples for mapping purposes\n",
"N = 1000\n",
"\n",
"df_2013 = df_time_2[['tag','location','city','state']].ix['2013']\n",
"df_2014 = df_time_2[['tag','location','city','state']].ix['2014']\n",
"\n",
"sample_2013 = df_2013.iloc[np.random.choice(len(df_2013), N, replace=False)]\n",
"#sample_2013.to_csv('output/2013_random_sample.csv')\n",
"\n",
"sample_2014 = df_2014.iloc[np.random.choice(len(df_2014), N, replace=False)]\n",
"#sample_2014.to_csv('output/2014_random_sample.csv')\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"block_1200_Charles['violFine_parsed'].plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 44,
"text": [
"Description\n",
"All Other Parking Meter Violations Axes(0.125,0.2;0.775x0.7)\n",
"All Other Stopping or Parking Violations Axes(0.125,0.2;0.775x0.7)\n",
"Expired Tags Axes(0.125,0.2;0.775x0.7)\n",
"In Transit Zone/Stop Axes(0.125,0.2;0.775x0.7)\n",
"Less Than 15 feet from Fire Hydrant Axes(0.125,0.2;0.775x0.7)\n",
"No Stop/Park Street Cleaning Axes(0.125,0.2;0.775x0.7)\n",
"No Stopping//Parking Stadium Event Camden Axes(0.125,0.2;0.775x0.7)\n",
"No Stopping/Standing Not Tow-Away Zone Axes(0.125,0.2;0.775x0.7)\n",
"No Stopping/Standing Tow Away Zone Axes(0.125,0.2;0.775x0.7)\n",
"Obstruct/Impeding Flow of Traffic Axes(0.125,0.2;0.775x0.7)\n",
"Obstruct/Impeding Movement of Pedestrian Axes(0.125,0.2;0.775x0.7)\n",
"Passenger Loading Zone Axes(0.125,0.2;0.775x0.7)\n",
"Residential Parking Permit Only Axes(0.125,0.2;0.775x0.7)\n",
"Name: violFine_parsed, dtype: object"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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5vkW00VLaZ1v9+oZr/pZrGh5j431XG996y4Cbm8Y/Mf/fio23HPeyNHE2abei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\nCuYjIIGtKwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x1133a8510>"
]
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['violFine_parsed'][df_time_2['location']=='1200 CHARLES ST'].resample('M',how='sum').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 53,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x115f58c50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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qzOxeM1tgZvPNrL+ZtTezaWa2yMymmllF2v5jzGyxmS00s8Fp5X3NbF703HW5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\nFCxERCQjBQsREcno/wNPSRLL0DeapQAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11330ba90>"
]
}
],
"prompt_number": 53
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 131
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"np.std(df_time_2['violFine_parsed'].ix['2014'].resample('D',how='sum'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 76,
"text": [
"18292.344801019481"
]
}
],
"prompt_number": 76
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"np.std(df_time_2['violFine_parsed'].ix['2013'].resample('D',how='sum'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 77,
"text": [
"9032.7358844832925"
]
}
],
"prompt_number": 77
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Blocks with largest citation number increase"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Overall monthly citation increase\n",
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"plot1 = df_time_2['violFine_parsed'].ix[:'dec-2014'].resample('M',how='count').plot(color=red_orange, grid='off',linewidth=3)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"#plt.ylim([0,1.1])\n",
"#plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"plt.ylabel('Total Monthly Number of Citations', fontsize=16)\n",
"plt.xlabel('')\n",
"\n",
"#fig.savefig('output/Total_Monthly_Citations.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"<matplotlib.text.Text at 0x111eb1c90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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iMOfrOAu9pAR+d0hh+yNSmcNOhw2jiY7VmbqZp2W4kyoLHkYAJ0YvgL8l9lOv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\nAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x112146650>"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# % Increase Sept 2013 to Mar 2014"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 131
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Overall Ratio, March 2014 citations to September 2013 citations."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print 'Overall Ratio, March 2014 citations to September 2013 citations: ',round(float(df_time_2['violFine_parsed'].ix['mar-2014'].count()) / float(df_time_2['violFine_parsed'].ix['sept-2013'].count()), 2)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overall Ratio, March 2014 citations to September 2013 citations: "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"4.49\n"
]
}
],
"prompt_number": 187
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# FIRST NEED TO SLICE OUT ONLY LOCATIONS WITH TICKETS IN Sep 2013 and Mar 2014\n",
"#sep13_uniq_locs = df_time_2['location'].ix['sep-2013'].unique()\n",
"mar14_uniq_locs = df_time_2['location'].ix['mar-2014'].unique()\n",
"\n",
"a = df_time_2[df_time_2['location'].isin(mar14_uniq_locs)]\n",
"#b = a[a['location'].isin(mar14_uniq_locs)]\n",
"\n",
"Mar14_Sep13 = pd.DataFrame()\n",
"Mar14_Sep13['Mar_2014'] = a['location'].ix['Mar-2014'].value_counts()\n",
"Mar14_Sep13['Sept_2013'] = a['location'].ix['Sept-2013'].value_counts()\n",
"Mar14_Sep13['Sept_2013'].fillna(0, inplace=True)\n",
"Mar14_Sep13['Diff'] = Mar14_Sep13['Mar_2014'] - Mar14_Sep13['Sept_2013']\n",
"Mar14_Sep13['Ratio'] = Mar14_Sep13['Mar_2014'] / Mar14_Sep13['Sept_2013']\n",
"\n",
"Mar14_Sep13.sort('Diff', ascending=False, inplace=True)\n",
"Mar14_Sep13[:25]\n",
"#Mar14_Sep13[:25].to_csv('output/Top_25_Increase_Citations_Sept13_Mar14_Locs.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Mar_2014</th>\n",
" <th>Sept_2013</th>\n",
" <th>Diff</th>\n",
" <th>Ratio</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>U/B CROSS ST</th>\n",
" <td> 375</td>\n",
" <td> 27</td>\n",
" <td> 348</td>\n",
" <td> 13.888889</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1000 CHARLES ST</th>\n",
" <td> 285</td>\n",
" <td> 23</td>\n",
" <td> 262</td>\n",
" <td> 12.391304</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B SOUTH ST</th>\n",
" <td> 286</td>\n",
" <td> 45</td>\n",
" <td> 241</td>\n",
" <td> 6.355556</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1700 THAMES ST</th>\n",
" <td> 278</td>\n",
" <td> 43</td>\n",
" <td> 235</td>\n",
" <td> 6.465116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1200 CHARLES ST</th>\n",
" <td> 271</td>\n",
" <td> 55</td>\n",
" <td> 216</td>\n",
" <td> 4.927273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>700 BROADWAY</th>\n",
" <td> 229</td>\n",
" <td> 21</td>\n",
" <td> 208</td>\n",
" <td> 10.904762</td>\n",
" </tr>\n",
" <tr>\n",
" <th>400 LOT JFA</th>\n",
" <td> 198</td>\n",
" <td> 0</td>\n",
" <td> 198</td>\n",
" <td> inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B CALVERT ST</th>\n",
" <td> 232</td>\n",
" <td> 48</td>\n",
" <td> 184</td>\n",
" <td> 4.833333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1000 LIGHT ST</th>\n",
" <td> 194</td>\n",
" <td> 14</td>\n",
" <td> 180</td>\n",
" <td> 13.857143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>800 BROADWAY</th>\n",
" <td> 202</td>\n",
" <td> 22</td>\n",
" <td> 180</td>\n",
" <td> 9.181818</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B PACA ST</th>\n",
" <td> 215</td>\n",
" <td> 44</td>\n",
" <td> 171</td>\n",
" <td> 4.886364</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B GAY ST</th>\n",
" <td> 196</td>\n",
" <td> 27</td>\n",
" <td> 169</td>\n",
" <td> 7.259259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>700 CENTRAL AVE</th>\n",
" <td> 188</td>\n",
" <td> 26</td>\n",
" <td> 162</td>\n",
" <td> 7.230769</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B COMMERCE ST</th>\n",
" <td> 202</td>\n",
" <td> 53</td>\n",
" <td> 149</td>\n",
" <td> 3.811321</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1100 LIGHT ST</th>\n",
" <td> 145</td>\n",
" <td> 12</td>\n",
" <td> 133</td>\n",
" <td> 12.083333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1600 THAMES ST</th>\n",
" <td> 147</td>\n",
" <td> 15</td>\n",
" <td> 132</td>\n",
" <td> 9.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1100 CHARLES ST</th>\n",
" <td> 144</td>\n",
" <td> 25</td>\n",
" <td> 119</td>\n",
" <td> 5.760000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>800 ALICEANNA ST</th>\n",
" <td> 135</td>\n",
" <td> 16</td>\n",
" <td> 119</td>\n",
" <td> 8.437500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>900 CHARLES ST</th>\n",
" <td> 130</td>\n",
" <td> 12</td>\n",
" <td> 118</td>\n",
" <td> 10.833333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1300 CHARLES ST</th>\n",
" <td> 135</td>\n",
" <td> 20</td>\n",
" <td> 115</td>\n",
" <td> 6.750000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3200 LOT WAVERLY</th>\n",
" <td> 114</td>\n",
" <td> 0</td>\n",
" <td> 114</td>\n",
" <td> inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>300 CALVERT ST</th>\n",
" <td> 144</td>\n",
" <td> 32</td>\n",
" <td> 112</td>\n",
" <td> 4.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5100 ROLAND AVE</th>\n",
" <td> 114</td>\n",
" <td> 3</td>\n",
" <td> 111</td>\n",
" <td> 38.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>U/B READ ST</th>\n",
" <td> 141</td>\n",
" <td> 32</td>\n",
" <td> 109</td>\n",
" <td> 4.406250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>200 BROADWAY</th>\n",
" <td> 113</td>\n",
" <td> 6</td>\n",
" <td> 107</td>\n",
" <td> 18.833333</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
" Mar_2014 Sept_2013 Diff Ratio\n",
"U/B CROSS ST 375 27 348 13.888889\n",
"1000 CHARLES ST 285 23 262 12.391304\n",
"U/B SOUTH ST 286 45 241 6.355556\n",
"1700 THAMES ST 278 43 235 6.465116\n",
"1200 CHARLES ST 271 55 216 4.927273\n",
"700 BROADWAY 229 21 208 10.904762\n",
"400 LOT JFA 198 0 198 inf\n",
"U/B CALVERT ST 232 48 184 4.833333\n",
"1000 LIGHT ST 194 14 180 13.857143\n",
"800 BROADWAY 202 22 180 9.181818\n",
"U/B PACA ST 215 44 171 4.886364\n",
"U/B GAY ST 196 27 169 7.259259\n",
"700 CENTRAL AVE 188 26 162 7.230769\n",
"U/B COMMERCE ST 202 53 149 3.811321\n",
"1100 LIGHT ST 145 12 133 12.083333\n",
"1600 THAMES ST 147 15 132 9.800000\n",
"1100 CHARLES ST 144 25 119 5.760000\n",
"800 ALICEANNA ST 135 16 119 8.437500\n",
"900 CHARLES ST 130 12 118 10.833333\n",
"1300 CHARLES ST 135 20 115 6.750000\n",
"3200 LOT WAVERLY 114 0 114 inf\n",
"300 CALVERT ST 144 32 112 4.500000\n",
"5100 ROLAND AVE 114 3 111 38.000000\n",
"U/B READ ST 141 32 109 4.406250\n",
"200 BROADWAY 113 6 107 18.833333"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 280
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looks like the 400 lot under the JFA and the 3200 lot of Waverly are newly targeted locations as of February 2014. Behavior for 3200 Waverly lot makes sense."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['tag'][df_time_2['location']=='400 LOT JFA'].ix[:'dec-2014'].resample('M', how='count').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 280,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x112ec2250>"
]
},
{
"metadata": {},
"output_type": "display_data",
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aiO2AXZRE7wful9QCfIXKv0/nA8fmrohG14OAZ4jx9y3AbwiDi/yB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\n",
"text": [
"<matplotlib.figure.Figure at 0x112eda2d0>"
]
}
],
"prompt_number": 280
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a = df_time_2[df_time_2['location']=='400 LOT JFA'].groupby('Description')\n",
"a['tag'].count()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"Description\n",
"All Other Parking Meter Violations 568\n",
"All Other Stopping or Parking Violations 306\n",
"Expired Tags 24\n",
"No Stop/Park Handicap 17\n",
"No Stopping/Standing Tow Away Zone 72\n",
"Name: tag, dtype: int64"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['tag'][df_time_2['location']=='3200 LOT WAVERLY'].ix[:'dec-2014'].resample('M', how='count').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 283,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x113777cd0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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Lw/0h4JMAkiaTjFL6TE8vJmku8DngH9NZpwL70vsa/AHHA/7XwDCAiHgF2Clp\nYfoakuRRTa1mOOyt7kVEO0kg7y64VWRnIN8EDJL0JMle/zUR8Ub6eBQ8d1F6oPUZkpvHfywiOjcK\nf0pyHOAnJD37TrcDX5b0mKQzSTYqn5H0BLCF5D7FZjXBQxybmeWA9+zNzHLAYW9mlgMOezOzHHDY\nm5nlgMPezCwHHPZmZjngsDczywGHvZlZDvx/VkRB6XG958kAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x113793b10>"
]
}
],
"prompt_number": 283
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"plot1 = df_time_2['tag'][df_time_2['location']=='5100 ROLAND AVE'].ix[:'dec-2014'].resample('M', how='count').plot(grid='off', color=red_orange, linewidth=3)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"#plt.ylim([0,1.1])\n",
"#plt.xticks(rotation=45)\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"plt.ylabel('Total Monthly Number of Citations', fontsize=16)\n",
"plt.xlabel('')\n",
"plt.title('5100 Roland Ave.', fontsize=16)\n",
"\n",
"#fig.savefig('output/5100_Roland_Citations.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
"<matplotlib.text.Text at 0x11c3b4410>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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CzJIjMK4E9gD2Bn4BdAceMbPqGSopIoXddD68/ERcvvBfcMLlcfmVJ+GM/WDu3NLHls+s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\n",
"text": [
"<matplotlib.figure.Figure at 0x110516fd0>"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a = df_time_2[df_time_2['location']=='5100 ROLAND AVE'].groupby('Description')\n",
"a['tag'].count()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 297,
"text": [
"Description\n",
"All Other Parking Meter Violations 1111\n",
"All Other Stopping or Parking Violations 7\n",
"Expired Tags 47\n",
"In Transit Zone/Stop 63\n",
"Less Than 15 feet from Fire Hydrant 41\n",
"No Stopping/Standing Not Tow-Away Zone 131\n",
"Residential Parking Permit Only 10\n",
"Name: tag, dtype: int64"
]
}
],
"prompt_number": 297
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"4200 Wickford Rd."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a href='http://www.citypaper.com/news/mobtownbeat/bcp-victims-of-a-unique-baltimore-parking-problem-fight-the-law-and-the-law-wins-20141216,0,5288351.story'>http://www.citypaper.com/news/mobtownbeat/bcp-victims-of-a-unique-baltimore-parking-problem-fight-the-law-and-the-law-wins-20141216,0,5288351.story</a>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=[10,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"# convert resampled index to right date format\n",
"my_x_labels = df_time_2['violFine_parsed'][df_time_2['location']=='4200 WICKFORD RD'].resample('M',how='count').index.map(lambda x: x.strftime('%b %Y'))\n",
"\n",
"plot1= bar(xrange(len(my_x_labels)),\n",
" df_time_2['violFine_parsed'][df_time_2['location']=='4200 WICKFORD RD'].resample('M',how='count'),\n",
" align='center',\n",
" color=red_orange)\n",
"xlim([0,len(my_x_labels)])\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"plt.xticks(xrange(len(df_time_2['violFine_parsed'][df_time_2['location']=='4200 WICKFORD RD'].resample('M',how='count'))),my_x_labels,ha='center',rotation=90)\n",
"\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"#title('4200 Wickford Rd.', fontsize=20)\n",
"text(len(my_x_labels)-1,24,'4200 Wickford Rd.',ha='right',fontsize=20)\n",
"plt.subplots_adjust(top=0.95, bottom=0.2)\n",
"ylabel('Monthly Ticket Count', fontsize=16)\n",
"#fig.savefig('output/4200_Wickford.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"<matplotlib.text.Text at 0x11859c090>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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2W0BnvkREREQiai4hu8fdn6pKTURERERqlDr1i4iIiCSmhExEREQksVIJ2dnA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\n4c+siHHFAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x1170cac90>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['violFine_parsed'][df_time_2['location']=='4200 WICKFORD RD'].count()#.to_csv('output/4200_Wickford_Citations.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 104,
"text": [
"41"
]
}
],
"prompt_number": 104
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_time_2['Description'][df_time_2['location']=='4200 WICKFORD RD']#.to_csv('output/4200_Wickford_Citations.csv')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 105,
"text": [
"violDate\n",
"2013-07-05 12:21:00 Expired Tags\n",
"2014-02-11 11:14:00 Expired Tags\n",
"2014-02-12 20:46:00 All Other Stopping or Parking Violations\n",
"2014-03-04 14:17:00 Expired Tags\n",
"2014-04-04 04:32:00 All Other Stopping or Parking Violations\n",
"2014-04-04 04:35:00 All Other Stopping or Parking Violations\n",
"2014-04-04 04:38:00 All Other Stopping or Parking Violations\n",
"2014-04-04 04:38:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:04:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:06:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:07:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:09:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:10:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:12:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:14:00 Expired Tags\n",
"2014-04-08 17:16:00 All Other Stopping or Parking Violations\n",
"2014-04-08 17:17:00 All Other Stopping or Parking Violations\n",
"2014-04-10 04:37:00 All Other Stopping or Parking Violations\n",
"2014-04-10 04:39:00 All Other Stopping or Parking Violations\n",
"2014-04-10 04:43:00 All Other Stopping or Parking Violations\n",
"2014-04-10 04:46:00 All Other Stopping or Parking Violations\n",
"2014-04-18 02:26:00 All Other Stopping or Parking Violations\n",
"2014-04-18 02:28:00 All Other Stopping or Parking Violations\n",
"2014-04-18 02:29:00 All Other Stopping or Parking Violations\n",
"2014-04-18 02:31:00 All Other Stopping or Parking Violations\n",
"2014-05-20 13:51:00 Expired Tags\n",
"2014-05-27 11:52:00 Exceeding 48 Hours\n",
"2014-07-18 14:31:00 Exceeding 48 Hours\n",
"2014-11-08 20:28:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:30:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:31:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:33:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:34:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:35:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:38:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:39:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:39:00 All Other Stopping or Parking Violations\n",
"2014-11-08 20:40:00 All Other Stopping or Parking Violations\n",
"2014-12-12 10:24:00 All Other Stopping or Parking Violations\n",
"2014-12-12 10:26:00 All Other Stopping or Parking Violations\n",
"2014-12-12 10:40:00 Expired Tags\n",
"Name: Description, dtype: object"
]
}
],
"prompt_number": 105
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"When Not To Park On N. Charles St."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This section is looking only at the highly ticketed 5 blocks on N. Charles St."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Charles_St = ['900 CHARLES ST',\n",
" '1000 CHARLES ST',\n",
" '1100 CHARLES ST',\n",
" '1200 CHARLES ST',\n",
" '1300 CHARLES ST']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# All days\n",
"\n",
"Charles_St_citations = df_time_2[df_time_2['location'].isin(Charles_St)]\n",
"\n",
"Charles_St_hour_count = Charles_St_citations['tag'].groupby(Charles_St_citations.index.hour).count()\n",
"bar(Charles_St_hour_count.index,Charles_St_hour_count)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 145,
"text": [
"<Container object of 24 artists>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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AVuDYwkuteYeA7V17O3BwgXnXtC7gzvkiDewb6d+H5AngeFU9MjCpuf3iUttiqfvFVJzV\nA5DkTuARzl/c9bcTHtJEJNlI/ygf+hfYfb+lbZFkP3AHcDX9uu03gH8BDgB/AJwE7q2q/53UGMfl\nIttiD9Cj/3G+gDeBLw3UudekJH8E/DvwCufLObvpX/3f1H5xiW3xV8ADLGG/mJrglySNx7SUeiRJ\nY2LwS1JjDH5JaozBL0mNMfglqTEGvyQ1xuCXpMYY/JLUmP8HiteJ9CA4KygAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x112368e10>"
]
}
],
"prompt_number": 145
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Charles St Weekend\n",
"\n",
"Charles_St_citations_weekend = Charles_St_citations.ix[(Charles_St_citations.index.dayofweek==5) | (Charles_St_citations.index.dayofweek==6)]\n",
"Charles_St_citations_weekend_hour_count = Charles_St_citations_weekend['tag'].groupby(Charles_St_citations_weekend.index.hour).count()\n",
"bar(Charles_St_citations_weekend_hour_count.index,Charles_St_citations_weekend_hour_count,align='center')\n",
"xlim([-1,24])\n",
"plt.show()\n",
"#Charles_St_citations_weekday = Charles_St_citations.index.dayofweek.isin([0,1,2,3,4])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x10fb8c390>"
]
}
],
"prompt_number": 100
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Charles St Weekday\n",
"\n",
"Charles_St_citations_weekday = Charles_St_citations.ix[Charles_St_citations.index.dayofweek<5]\n",
"Charles_St_citations_weekday_hour_count = Charles_St_citations_weekday['tag'].groupby(Charles_St_citations_weekday.index.hour).count()\n",
"bar(Charles_St_citations_weekday_hour_count.index,Charles_St_citations_weekday_hour_count,align='center')\n",
"xlim([-1,24])\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x111570cd0>"
]
}
],
"prompt_number": 148
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Total citation counts on 5 blocks of N. Charles St. by day of week\n",
"fig = plt.figure(figsize=[8,6])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"my_x_labels = ['Mon','Tues','Weds','Thurs','Fri','Sat','Sun']\n",
"\n",
"a=Charles_St_citations.groupby(Charles_St_citations.index.dayofweek)\n",
"a['tag'].count().plot(kind='bar', grid='off', color=red_orange)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"text(6.25,2500,'N. Charles St. \\n Citations',ha='right',va='center',fontsize=20)\n",
"ylabel('Citations', fontsize=16)\n",
"xticks(range(0,7),my_x_labels, rotation=0)\n",
"plt.show()\n",
"\n",
"fig.savefig('output/N_Charles_by_Day.png', bbox_tight='inches')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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vAf8K/AH4f8BeTa+ZJEnqdo0Gg30p7pdwWfn8rsy8IDPHAA8Au3VF5SRJUvdq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\n",
"text": [
"<matplotlib.figure.Figure at 0x11643e090>"
]
}
],
"prompt_number": 261
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Charles_St_citations.groupby('Description')['tag'].count()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 236,
"text": [
"Description\n",
"All Other Parking Meter Violations 8226\n",
"All Other Stopping or Parking Violations 30\n",
"Commercial Veh/Residence over 20,000 lbs 1\n",
"Expired Tags 491\n",
"In Taxicab Stand 3\n",
"In Transit Zone/Stop 342\n",
"Less Than 15 feet from Fire Hydrant 34\n",
"No Stop/Park Street Cleaning 536\n",
"No Stopping//Parking Stadium Event Camden 269\n",
"No Stopping/Standing Not Tow-Away Zone 535\n",
"No Stopping/Standing Tow Away Zone 1796\n",
"Obstruct/Impeding Flow of Traffic 21\n",
"Obstruct/Impeding Movement of Pedestrian 32\n",
"Passenger Loading Zone 110\n",
"Residential Parking Permit Only 732\n",
"Name: tag, dtype: int64"
]
}
],
"prompt_number": 236
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=[10,8])\n",
"ax1 = plt.subplot(1,1,1)\n",
"\n",
"a=pd.DataFrame(pd.Series(Charles_St_citations_weekday.index.hour).value_counts(),index=range(0,23))\n",
"b=pd.DataFrame(pd.Series(Charles_St_citations_weekend.index.hour).value_counts(),index=range(0,23))\n",
"b.fillna(0,inplace=True)\n",
"a.sort(inplace=True)\n",
"b.sort(inplace=True)\n",
"bar(b.index,b[0],color=light_cyan,align='center')\n",
"bar(a.index,a[0],color=gray_light,bottom=b[0],align='center')\n",
"\n",
"xlim([-1,24])\n",
"xlabel('Hour of Day', fontsize=16)\n",
"ylabel('Citations', fontsize=16)\n",
"text(0,2000,'N. Charles St. Citations',ha='left',va='center',fontsize=20)\n",
"legend(['Weekend','Weekday'],loc='upper left', fontsize=16, frameon=False,\n",
" bbox_to_anchor=(.14, -.13, 1, 1),\n",
" bbox_transform=gcf().transFigure)\n",
"\n",
"# turn off square border around plot\n",
"ax1.spines[\"top\"].set_visible(False) \n",
"ax1.spines[\"bottom\"].set_visible(False) \n",
"ax1.spines[\"right\"].set_visible(False) \n",
"ax1.spines[\"left\"].set_visible(False)\n",
"\n",
"# turn off ticks\n",
"ax1.tick_params(axis=\"both\", which=\"both\", bottom=\"off\", top=\"off\",\n",
" labelbottom=\"on\", left=\"off\", right=\"off\", labelleft=\"on\",labelsize=14)\n",
"\n",
"fig.savefig('output/N_Charles_by_Hour.png', bbox_inches='tight')\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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G4OSTT96i3Ny5c1mzZk21dixfvpxFixYxadIkhgwZskU7V65cyc4777zF+p12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\nugPXAn2BR4EJKaX1BXWcAWw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"text": [
"<matplotlib.figure.Figure at 0x115e66e10>"
]
}
],
"prompt_number": 262
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"b"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <td> 63</td>\n",
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" <td> 28</td>\n",
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" <td> 1</td>\n",
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" <td> 159</td>\n",
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" <td> 102</td>\n",
" </tr>\n",
" <tr>\n",
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" <td> 125</td>\n",
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" <th>14</th>\n",
" <td> 185</td>\n",
" </tr>\n",
" <tr>\n",
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" <td> 90</td>\n",
" </tr>\n",
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" <td> 290</td>\n",
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" <tr>\n",
" <th>17</th>\n",
" <td> 366</td>\n",
" </tr>\n",
" <tr>\n",
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" <td> 220</td>\n",
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" <td> 134</td>\n",
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" <td> 70</td>\n",
" </tr>\n",
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" </tr>\n",
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"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 166,
"text": [
" 0\n",
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"prompt_number": 166
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Charles_St_citations"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>tag</th>\n",
" <th>expmm</th>\n",
" <th>expyy</th>\n",
" <th>make</th>\n",
" <th>state</th>\n",
" <th>location</th>\n",
" <th>violCode</th>\n",
" <th>Description</th>\n",
" <th>violFine</th>\n",
" <th>violDate</th>\n",
" <th>...</th>\n",
" <th>penaltyDate</th>\n",
" <th>openFine</th>\n",
" <th>openPenalty</th>\n",
" <th>noticeDate</th>\n",
" <th>ImportDate</th>\n",
" <th>violFine_parsed</th>\n",
" <th>openFine_parsed</th>\n",
" <th>openPenalty_parsed</th>\n",
" <th>balance_parsed</th>\n",
" <th>ImportDate_parsed</th>\n",
" </tr>\n",
" <tr>\n",
" <th>violDate</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>2013-02-01 11:17:00</th>\n",
" <td> 79AC88</td>\n",
" <td> 08</td>\n",
" <td> 14</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-01 11:17:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
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" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-01 13:35:00</th>\n",
" <td> 7EDY48</td>\n",
" <td> 09</td>\n",
" <td> 14</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-01 13:35:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
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" <td> 12/20/2013 12:03:00 PM +0000</td>\n",
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" <td>2013-12-20 12:03:00</td>\n",
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" <tr>\n",
" <th>2013-02-04 18:24:00</th>\n",
" <td> HOPE</td>\n",
" <td> 05</td>\n",
" <td> 14</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2013-02-04 18:24:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-07 12:14:00</th>\n",
" <td> 99952CD</td>\n",
" <td> 07</td>\n",
" <td> 13</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-07 12:14:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 03/19/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-03-19 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-08 09:37:00</th>\n",
" <td> 9FBK89</td>\n",
" <td> 06</td>\n",
" <td> 14</td>\n",
" <td> LINCO</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 20</td>\n",
" <td> Passenger Loading Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-08 09:37:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-08 09:45:00</th>\n",
" <td> 1GBS84</td>\n",
" <td> 05</td>\n",
" <td> 14</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-08 09:45:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 05/31/2014 11:03:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-05-31 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-09 17:48:00</th>\n",
" <td> 2AY5263</td>\n",
" <td> 11</td>\n",
" <td> 14</td>\n",
" <td> CHRYS</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-09 17:48:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 02/06/2014 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-02-06 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-09 20:25:00</th>\n",
" <td> T648794T</td>\n",
" <td> 02</td>\n",
" <td> 13</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-09 20:25:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-09 20:44:00</th>\n",
" <td> H8RSOX</td>\n",
" <td> 08</td>\n",
" <td> 14</td>\n",
" <td> NISSA</td>\n",
" <td> NY</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2013-02-09 20:44:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $304.00</td>\n",
" <td> 07/01/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 304</td>\n",
" <td> 356</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-11 10:51:00</th>\n",
" <td> 9AC7613</td>\n",
" <td> 12</td>\n",
" <td> 14</td>\n",
" <td> KIA</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-11 10:51:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 02/13/2013 12:03:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-02-13 12:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-11 12:57:00</th>\n",
" <td> 4MD9930</td>\n",
" <td> 06</td>\n",
" <td> 14</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-11 12:57:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-11 13:08:00</th>\n",
" <td> 4AB7759</td>\n",
" <td> 11</td>\n",
" <td> 12</td>\n",
" <td> INFIN</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-11 13:08:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-12 11:46:00</th>\n",
" <td> 9AL5922</td>\n",
" <td> 11</td>\n",
" <td> 14</td>\n",
" <td> ACURA</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-12 11:46:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 03/05/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-13 11:07:00</th>\n",
" <td> ZCJ1792</td>\n",
" <td> 05</td>\n",
" <td> 13</td>\n",
" <td> CHEVR</td>\n",
" <td> PA</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-13 11:07:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 09/03/2013</td>\n",
" <td> 05/30/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-05-30 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-13 13:15:00</th>\n",
" <td> MEG185</td>\n",
" <td> 02</td>\n",
" <td> 16</td>\n",
" <td> HYUND</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-13 13:15:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $25.00</td>\n",
" <td> $149.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 10/23/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 25</td>\n",
" <td> 149</td>\n",
" <td> 174</td>\n",
" <td>2014-10-23 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-13 13:58:00</th>\n",
" <td> HNZ6011</td>\n",
" <td> 11</td>\n",
" <td> 13</td>\n",
" <td> OLDSM</td>\n",
" <td> PA</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-13 13:58:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 09/03/2013</td>\n",
" <td> 04/03/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-04-03 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-15 12:40:00</th>\n",
" <td> 8AB1723</td>\n",
" <td> 10</td>\n",
" <td> 14</td>\n",
" <td> HYUND</td>\n",
" <td> MD</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-15 12:40:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 06/25/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-06-25 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-15 12:42:00</th>\n",
" <td> 8AB1723</td>\n",
" <td> 10</td>\n",
" <td> 14</td>\n",
" <td> HYUND</td>\n",
" <td> MD</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-15 12:42:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $165.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 08/26/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 165</td>\n",
" <td> 197</td>\n",
" <td>2014-08-26 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-16 13:42:00</th>\n",
" <td> XAR7025</td>\n",
" <td> 12</td>\n",
" <td> 13</td>\n",
" <td> VOLKS</td>\n",
" <td> VA</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-16 13:42:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 07/01/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-16 13:49:00</th>\n",
" <td> 3AH9920</td>\n",
" <td> 06</td>\n",
" <td> 13</td>\n",
" <td> JEEP</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-16 13:49:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 01/23/2014 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-01-23 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-18 09:11:00</th>\n",
" <td> 1AT0603</td>\n",
" <td> 07</td>\n",
" <td> 14</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-18 09:11:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-19 21:41:00</th>\n",
" <td> 9BEA59</td>\n",
" <td> 09</td>\n",
" <td> 14</td>\n",
" <td> AUDI</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 16</td>\n",
" <td> In Transit Zone/Stop</td>\n",
" <td> $77.00</td>\n",
" <td>2013-02-19 21:41:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 77</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-20 11:47:00</th>\n",
" <td> T670730T</td>\n",
" <td> 03</td>\n",
" <td> 13</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-20 11:47:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-20 11:51:00</th>\n",
" <td> A135391</td>\n",
" <td> 04</td>\n",
" <td> 14</td>\n",
" <td> LEXUS</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-20 11:51:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 03/13/2013</td>\n",
" <td> 05/07/2014 11:03:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2014-05-07 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-20 14:48:00</th>\n",
" <td> FEX9745</td>\n",
" <td> 06</td>\n",
" <td> 14</td>\n",
" <td> CHRYS</td>\n",
" <td> NY</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-20 14:48:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 07/01/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-21 16:49:00</th>\n",
" <td> T670730T</td>\n",
" <td> 03</td>\n",
" <td> 13</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-21 16:49:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/07/2013 05:41:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2013-05-07 17:41:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-21 17:35:00</th>\n",
" <td> 8AK9459</td>\n",
" <td> 10</td>\n",
" <td> 13</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-21 17:35:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $0.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 05/25/2013 11:03:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2013-05-25 11:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-22 13:39:00</th>\n",
" <td> 2MD1091</td>\n",
" <td> 10</td>\n",
" <td> 14</td>\n",
" <td> VOLKS</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-22 13:39:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $325.00</td>\n",
" <td> 03/20/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 325</td>\n",
" <td> 357</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-22 17:01:00</th>\n",
" <td> 3AB9564</td>\n",
" <td> 10</td>\n",
" <td> 12</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 22</td>\n",
" <td> Expired Tags</td>\n",
" <td> $32.00</td>\n",
" <td>2013-02-22 17:01:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $300.00</td>\n",
" <td> 03/20/2013</td>\n",
" <td> 10/09/2014 11:02:00 AM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 300</td>\n",
" <td> 332</td>\n",
" <td>2014-10-09 11:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013-02-22 17:53:00</th>\n",
" <td> 4AY2750</td>\n",
" <td> 12</td>\n",
" <td> 14</td>\n",
" <td> GMC</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 8</td>\n",
" <td> No Stopping/Standing Tow Away Zone</td>\n",
" <td> $52.00</td>\n",
" <td>2013-02-22 17:53:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $377.00</td>\n",
" <td> 03/20/2013</td>\n",
" <td> 01/09/2015 12:02:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 377</td>\n",
" <td> 429</td>\n",
" <td>2015-01-09 12:02:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-26 20:31:00</th>\n",
" <td> LPF651</td>\n",
" <td> 06</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-26 20:31:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 02/28/2015 12:03:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>2015-02-28 12:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-26 22:21:00</th>\n",
" <td> 3BA6869</td>\n",
" <td> 04</td>\n",
" <td> 15</td>\n",
" <td> LEXUS</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 16</td>\n",
" <td> In Transit Zone/Stop</td>\n",
" <td> $77.00</td>\n",
" <td>2015-02-26 22:21:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $77.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 02/28/2015 12:03:00 PM +0000</td>\n",
" <td> 77</td>\n",
" <td> 77</td>\n",
" <td> 0</td>\n",
" <td> 77</td>\n",
" <td>2015-02-28 12:03:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 09:57:00</th>\n",
" <td> 2FTG04</td>\n",
" <td> 12</td>\n",
" <td> 15</td>\n",
" <td> BMW</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 09:57:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 10:34:00</th>\n",
" <td> 1BR7659</td>\n",
" <td> 11</td>\n",
" <td> 16</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 10:34:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 12:35:00</th>\n",
" <td> 23177CF</td>\n",
" <td> 08</td>\n",
" <td> 15</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 12:35:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 12:35:00</th>\n",
" <td> 2BA0619</td>\n",
" <td> 03</td>\n",
" <td> 15</td>\n",
" <td> MITSU</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 12:35:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 12:40:00</th>\n",
" <td> 6BB6754</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> DODGE</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 12:40:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 12:47:00</th>\n",
" <td> 5UW625</td>\n",
" <td> 0</td>\n",
" <td> 15</td>\n",
" <td> VOLKS</td>\n",
" <td> WV</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 12:47:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 13:12:00</th>\n",
" <td> 26830CE</td>\n",
" <td> 10</td>\n",
" <td> 15</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 13:12:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 14:23:00</th>\n",
" <td> WSP9458</td>\n",
" <td> 06</td>\n",
" <td> 15</td>\n",
" <td> FORD</td>\n",
" <td> VA</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 14:23:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 14:27:00</th>\n",
" <td> 2BW6727</td>\n",
" <td> 01</td>\n",
" <td> 17</td>\n",
" <td> VOLKS</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 14:27:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 14:49:00</th>\n",
" <td> 8AF6084</td>\n",
" <td> 03</td>\n",
" <td> 15</td>\n",
" <td> HONDA</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 14:49:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 15:04:00</th>\n",
" <td> 1BW9000</td>\n",
" <td> 11</td>\n",
" <td> 16</td>\n",
" <td> CHRYS</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 8</td>\n",
" <td> No Stopping/Standing Tow Away Zone</td>\n",
" <td> $52.00</td>\n",
" <td>2015-02-27 15:04:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 16:52:00</th>\n",
" <td> 1AL6079</td>\n",
" <td> 10</td>\n",
" <td> 15</td>\n",
" <td> MAZDA</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 8</td>\n",
" <td> No Stopping/Standing Tow Away Zone</td>\n",
" <td> $52.00</td>\n",
" <td>2015-02-27 16:52:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 16:54:00</th>\n",
" <td> 6AP3189</td>\n",
" <td> 03</td>\n",
" <td> 16</td>\n",
" <td> MAZDA</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 8</td>\n",
" <td> No Stopping/Standing Tow Away Zone</td>\n",
" <td> $52.00</td>\n",
" <td>2015-02-27 16:54:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 18:34:00</th>\n",
" <td> 37195M9</td>\n",
" <td> 03</td>\n",
" <td> 15</td>\n",
" <td> LINCO</td>\n",
" <td> MD</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 18:34:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 18:41:00</th>\n",
" <td> 005297T</td>\n",
" <td> 03</td>\n",
" <td> 15</td>\n",
" <td> JEEP</td>\n",
" <td> MD</td>\n",
" <td> 900 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 18:41:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 18:56:00</th>\n",
" <td> 40750M8</td>\n",
" <td> 05</td>\n",
" <td> 15</td>\n",
" <td> TOYOT</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 18:56:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 19:01:00</th>\n",
" <td> 77548CE</td>\n",
" <td> 05</td>\n",
" <td> 15</td>\n",
" <td> BMW</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 19:01:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 19:07:00</th>\n",
" <td> 1BE4178</td>\n",
" <td> 08</td>\n",
" <td> 15</td>\n",
" <td> MERCE</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 19:07:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 21:55:00</th>\n",
" <td> 028M201</td>\n",
" <td> 07</td>\n",
" <td> 15</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 1300 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 21:55:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 22:06:00</th>\n",
" <td> 75336</td>\n",
" <td> 08</td>\n",
" <td> 16</td>\n",
" <td> MERCE</td>\n",
" <td> DE</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 12</td>\n",
" <td> No Stopping/Standing Not Tow-Away Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-27 22:06:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-27 22:10:00</th>\n",
" <td> 828YPB</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> TOYOT</td>\n",
" <td> CT</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 16</td>\n",
" <td> In Transit Zone/Stop</td>\n",
" <td> $77.00</td>\n",
" <td>2015-02-27 22:10:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $77.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 77</td>\n",
" <td> 77</td>\n",
" <td> 0</td>\n",
" <td> 77</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 01:23:00</th>\n",
" <td> 2EFS49</td>\n",
" <td> 08</td>\n",
" <td> 16</td>\n",
" <td> LEXUS</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-02-28 01:23:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 01:24:00</th>\n",
" <td> 8AF0311</td>\n",
" <td> 11</td>\n",
" <td> 15</td>\n",
" <td> CHEVR</td>\n",
" <td> MD</td>\n",
" <td> 1200 CHARLES ST</td>\n",
" <td> 11</td>\n",
" <td> Residential Parking Permit Only</td>\n",
" <td> $52.00</td>\n",
" <td>2015-02-28 01:24:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $52.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 52</td>\n",
" <td> 52</td>\n",
" <td> 0</td>\n",
" <td> 52</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 11:30:00</th>\n",
" <td> 7BT6386</td>\n",
" <td> 11</td>\n",
" <td> 16</td>\n",
" <td> ACURA</td>\n",
" <td> MD</td>\n",
" <td> 1000 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-28 11:30:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 11:36:00</th>\n",
" <td> 4BB5966</td>\n",
" <td> 06</td>\n",
" <td> 15</td>\n",
" <td> FORD</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-28 11:36:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 11:38:00</th>\n",
" <td> 7BA0395</td>\n",
" <td> 04</td>\n",
" <td> 15</td>\n",
" <td> NISSA</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 20</td>\n",
" <td> Passenger Loading Zone</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-28 11:38:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 11:41:00</th>\n",
" <td> 5BR9241</td>\n",
" <td> 11</td>\n",
" <td> 16</td>\n",
" <td> VOLVO</td>\n",
" <td> MD</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-28 11:41:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015-02-28 11:51:00</th>\n",
" <td> GYV8280</td>\n",
" <td> 07</td>\n",
" <td> 15</td>\n",
" <td> CHEVR</td>\n",
" <td> PA</td>\n",
" <td> 1100 CHARLES ST</td>\n",
" <td> 18</td>\n",
" <td> All Other Parking Meter Violations</td>\n",
" <td> $32.00</td>\n",
" <td>2015-02-28 11:51:00</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> $32.00</td>\n",
" <td> $0.00</td>\n",
" <td> 0</td>\n",
" <td> 03/03/2015 12:01:00 PM +0000</td>\n",
" <td> 32</td>\n",
" <td> 32</td>\n",
" <td> 0</td>\n",
" <td> 32</td>\n",
" <td>2015-03-03 12:01:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>13158 rows \u00d7 21 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 233,
"text": [
" tag expmm expyy make state location \\\n",
"violDate \n",
"2013-02-01 11:17:00 79AC88 08 14 FORD MD 1100 CHARLES ST \n",
"2013-02-01 13:35:00 7EDY48 09 14 CHEVR MD 1200 CHARLES ST \n",
"2013-02-04 18:24:00 HOPE 05 14 NISSA MD 1200 CHARLES ST \n",
"2013-02-07 12:14:00 99952CD 07 13 HONDA MD 1200 CHARLES ST \n",
"2013-02-08 09:37:00 9FBK89 06 14 LINCO MD 1100 CHARLES ST \n",
"2013-02-08 09:45:00 1GBS84 05 14 CHEVR MD 1200 CHARLES ST \n",
"2013-02-09 17:48:00 2AY5263 11 14 CHRYS MD 1000 CHARLES ST \n",
"2013-02-09 20:25:00 T648794T 02 13 HONDA MD 900 CHARLES ST \n",
"2013-02-09 20:44:00 H8RSOX 08 14 NISSA NY 1200 CHARLES ST \n",
"2013-02-11 10:51:00 9AC7613 12 14 KIA MD 1000 CHARLES ST \n",
"2013-02-11 12:57:00 4MD9930 06 14 HONDA MD 1300 CHARLES ST \n",
"2013-02-11 13:08:00 4AB7759 11 12 INFIN MD 1200 CHARLES ST \n",
"2013-02-12 11:46:00 9AL5922 11 14 ACURA MD 1200 CHARLES ST \n",
"2013-02-13 11:07:00 ZCJ1792 05 13 CHEVR PA 900 CHARLES ST \n",
"2013-02-13 13:15:00 MEG185 02 16 HYUND MD 1200 CHARLES ST \n",
"2013-02-13 13:58:00 HNZ6011 11 13 OLDSM PA 1200 CHARLES ST \n",
"2013-02-15 12:40:00 8AB1723 10 14 HYUND MD 900 CHARLES ST \n",
"2013-02-15 12:42:00 8AB1723 10 14 HYUND MD 900 CHARLES ST \n",
"2013-02-16 13:42:00 XAR7025 12 13 VOLKS VA 1000 CHARLES ST \n",
"2013-02-16 13:49:00 3AH9920 06 13 JEEP MD 1000 CHARLES ST \n",
"2013-02-18 09:11:00 1AT0603 07 14 FORD MD 1100 CHARLES ST \n",
"2013-02-19 21:41:00 9BEA59 09 14 AUDI MD 1300 CHARLES ST \n",
"2013-02-20 11:47:00 T670730T 03 13 TOYOT MD 1000 CHARLES ST \n",
"2013-02-20 11:51:00 A135391 04 14 LEXUS MD 1000 CHARLES ST \n",
"2013-02-20 14:48:00 FEX9745 06 14 CHRYS NY 900 CHARLES ST \n",
"2013-02-21 16:49:00 T670730T 03 13 TOYOT MD 1000 CHARLES ST \n",
"2013-02-21 17:35:00 8AK9459 10 13 NISSA MD 1300 CHARLES ST \n",
"2013-02-22 13:39:00 2MD1091 10 14 VOLKS MD 1000 CHARLES ST \n",
"2013-02-22 17:01:00 3AB9564 10 12 NISSA MD 1100 CHARLES ST \n",
"2013-02-22 17:53:00 4AY2750 12 14 GMC MD 1200 CHARLES ST \n",
"... ... ... ... ... ... ... \n",
"2015-02-26 20:31:00 LPF651 06 15 HONDA MD 1200 CHARLES ST \n",
"2015-02-26 22:21:00 3BA6869 04 15 LEXUS MD 1200 CHARLES ST \n",
"2015-02-27 09:57:00 2FTG04 12 15 BMW MD 1200 CHARLES ST \n",
"2015-02-27 10:34:00 1BR7659 11 16 HONDA MD 1100 CHARLES ST \n",
"2015-02-27 12:35:00 23177CF 08 15 TOYOT MD 1200 CHARLES ST \n",
"2015-02-27 12:35:00 2BA0619 03 15 MITSU MD 1000 CHARLES ST \n",
"2015-02-27 12:40:00 6BB6754 0 0 DODGE MD 1200 CHARLES ST \n",
"2015-02-27 12:47:00 5UW625 0 15 VOLKS WV 900 CHARLES ST \n",
"2015-02-27 13:12:00 26830CE 10 15 NISSA MD 1100 CHARLES ST \n",
"2015-02-27 14:23:00 WSP9458 06 15 FORD VA 1000 CHARLES ST \n",
"2015-02-27 14:27:00 2BW6727 01 17 VOLKS MD 1000 CHARLES ST \n",
"2015-02-27 14:49:00 8AF6084 03 15 HONDA MD 1000 CHARLES ST \n",
"2015-02-27 15:04:00 1BW9000 11 16 CHRYS MD 1000 CHARLES ST \n",
"2015-02-27 16:52:00 1AL6079 10 15 MAZDA MD 1300 CHARLES ST \n",
"2015-02-27 16:54:00 6AP3189 03 16 MAZDA MD 1300 CHARLES ST \n",
"2015-02-27 18:34:00 37195M9 03 15 LINCO MD 900 CHARLES ST \n",
"2015-02-27 18:41:00 005297T 03 15 JEEP MD 900 CHARLES ST \n",
"2015-02-27 18:56:00 40750M8 05 15 TOYOT MD 1000 CHARLES ST \n",
"2015-02-27 19:01:00 77548CE 05 15 BMW MD 1000 CHARLES ST \n",
"2015-02-27 19:07:00 1BE4178 08 15 MERCE MD 1000 CHARLES ST \n",
"2015-02-27 21:55:00 028M201 07 15 FORD MD 1300 CHARLES ST \n",
"2015-02-27 22:06:00 75336 08 16 MERCE DE 1000 CHARLES ST \n",
"2015-02-27 22:10:00 828YPB 0 0 TOYOT CT 1200 CHARLES ST \n",
"2015-02-28 01:23:00 2EFS49 08 16 LEXUS MD 1200 CHARLES ST \n",
"2015-02-28 01:24:00 8AF0311 11 15 CHEVR MD 1200 CHARLES ST \n",
"2015-02-28 11:30:00 7BT6386 11 16 ACURA MD 1000 CHARLES ST \n",
"2015-02-28 11:36:00 4BB5966 06 15 FORD MD 1100 CHARLES ST \n",
"2015-02-28 11:38:00 7BA0395 04 15 NISSA MD 1100 CHARLES ST \n",
"2015-02-28 11:41:00 5BR9241 11 16 VOLVO MD 1100 CHARLES ST \n",
"2015-02-28 11:51:00 GYV8280 07 15 CHEVR PA 1100 CHARLES ST \n",
"\n",
" violCode Description \\\n",
"violDate \n",
"2013-02-01 11:17:00 18 All Other Parking Meter Violations \n",
"2013-02-01 13:35:00 18 All Other Parking Meter Violations \n",
"2013-02-04 18:24:00 11 Residential Parking Permit Only \n",
"2013-02-07 12:14:00 18 All Other Parking Meter Violations \n",
"2013-02-08 09:37:00 20 Passenger Loading Zone \n",
"2013-02-08 09:45:00 18 All Other Parking Meter Violations \n",
"2013-02-09 17:48:00 18 All Other Parking Meter Violations \n",
"2013-02-09 20:25:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2013-02-09 20:44:00 11 Residential Parking Permit Only \n",
"2013-02-11 10:51:00 18 All Other Parking Meter Violations \n",
"2013-02-11 12:57:00 18 All Other Parking Meter Violations \n",
"2013-02-11 13:08:00 22 Expired Tags \n",
"2013-02-12 11:46:00 18 All Other Parking Meter Violations \n",
"2013-02-13 11:07:00 18 All Other Parking Meter Violations \n",
"2013-02-13 13:15:00 18 All Other Parking Meter Violations \n",
"2013-02-13 13:58:00 18 All Other Parking Meter Violations \n",
"2013-02-15 12:40:00 22 Expired Tags \n",
"2013-02-15 12:42:00 18 All Other Parking Meter Violations \n",
"2013-02-16 13:42:00 18 All Other Parking Meter Violations \n",
"2013-02-16 13:49:00 18 All Other Parking Meter Violations \n",
"2013-02-18 09:11:00 18 All Other Parking Meter Violations \n",
"2013-02-19 21:41:00 16 In Transit Zone/Stop \n",
"2013-02-20 11:47:00 18 All Other Parking Meter Violations \n",
"2013-02-20 11:51:00 18 All Other Parking Meter Violations \n",
"2013-02-20 14:48:00 18 All Other Parking Meter Violations \n",
"2013-02-21 16:49:00 18 All Other Parking Meter Violations \n",
"2013-02-21 17:35:00 18 All Other Parking Meter Violations \n",
"2013-02-22 13:39:00 18 All Other Parking Meter Violations \n",
"2013-02-22 17:01:00 22 Expired Tags \n",
"2013-02-22 17:53:00 8 No Stopping/Standing Tow Away Zone \n",
"... ... ... \n",
"2015-02-26 20:31:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-02-26 22:21:00 16 In Transit Zone/Stop \n",
"2015-02-27 09:57:00 18 All Other Parking Meter Violations \n",
"2015-02-27 10:34:00 18 All Other Parking Meter Violations \n",
"2015-02-27 12:35:00 18 All Other Parking Meter Violations \n",
"2015-02-27 12:35:00 18 All Other Parking Meter Violations \n",
"2015-02-27 12:40:00 18 All Other Parking Meter Violations \n",
"2015-02-27 12:47:00 18 All Other Parking Meter Violations \n",
"2015-02-27 13:12:00 18 All Other Parking Meter Violations \n",
"2015-02-27 14:23:00 18 All Other Parking Meter Violations \n",
"2015-02-27 14:27:00 18 All Other Parking Meter Violations \n",
"2015-02-27 14:49:00 18 All Other Parking Meter Violations \n",
"2015-02-27 15:04:00 8 No Stopping/Standing Tow Away Zone \n",
"2015-02-27 16:52:00 8 No Stopping/Standing Tow Away Zone \n",
"2015-02-27 16:54:00 8 No Stopping/Standing Tow Away Zone \n",
"2015-02-27 18:34:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-02-27 18:41:00 18 All Other Parking Meter Violations \n",
"2015-02-27 18:56:00 18 All Other Parking Meter Violations \n",
"2015-02-27 19:01:00 18 All Other Parking Meter Violations \n",
"2015-02-27 19:07:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-02-27 21:55:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-02-27 22:06:00 12 No Stopping/Standing Not Tow-Away Zone \n",
"2015-02-27 22:10:00 16 In Transit Zone/Stop \n",
"2015-02-28 01:23:00 11 Residential Parking Permit Only \n",
"2015-02-28 01:24:00 11 Residential Parking Permit Only \n",
"2015-02-28 11:30:00 18 All Other Parking Meter Violations \n",
"2015-02-28 11:36:00 18 All Other Parking Meter Violations \n",
"2015-02-28 11:38:00 20 Passenger Loading Zone \n",
"2015-02-28 11:41:00 18 All Other Parking Meter Violations \n",
"2015-02-28 11:51:00 18 All Other Parking Meter Violations \n",
"\n",
" violFine violDate ... \\\n",
"violDate ... \n",
"2013-02-01 11:17:00 $32.00 2013-02-01 11:17:00 ... \n",
"2013-02-01 13:35:00 $32.00 2013-02-01 13:35:00 ... \n",
"2013-02-04 18:24:00 $52.00 2013-02-04 18:24:00 ... \n",
"2013-02-07 12:14:00 $32.00 2013-02-07 12:14:00 ... \n",
"2013-02-08 09:37:00 $32.00 2013-02-08 09:37:00 ... \n",
"2013-02-08 09:45:00 $32.00 2013-02-08 09:45:00 ... \n",
"2013-02-09 17:48:00 $32.00 2013-02-09 17:48:00 ... \n",
"2013-02-09 20:25:00 $32.00 2013-02-09 20:25:00 ... \n",
"2013-02-09 20:44:00 $52.00 2013-02-09 20:44:00 ... \n",
"2013-02-11 10:51:00 $32.00 2013-02-11 10:51:00 ... \n",
"2013-02-11 12:57:00 $32.00 2013-02-11 12:57:00 ... \n",
"2013-02-11 13:08:00 $32.00 2013-02-11 13:08:00 ... \n",
"2013-02-12 11:46:00 $32.00 2013-02-12 11:46:00 ... \n",
"2013-02-13 11:07:00 $32.00 2013-02-13 11:07:00 ... \n",
"2013-02-13 13:15:00 $32.00 2013-02-13 13:15:00 ... \n",
"2013-02-13 13:58:00 $32.00 2013-02-13 13:58:00 ... \n",
"2013-02-15 12:40:00 $32.00 2013-02-15 12:40:00 ... \n",
"2013-02-15 12:42:00 $32.00 2013-02-15 12:42:00 ... \n",
"2013-02-16 13:42:00 $32.00 2013-02-16 13:42:00 ... \n",
"2013-02-16 13:49:00 $32.00 2013-02-16 13:49:00 ... \n",
"2013-02-18 09:11:00 $32.00 2013-02-18 09:11:00 ... \n",
"2013-02-19 21:41:00 $77.00 2013-02-19 21:41:00 ... \n",
"2013-02-20 11:47:00 $32.00 2013-02-20 11:47:00 ... \n",
"2013-02-20 11:51:00 $32.00 2013-02-20 11:51:00 ... \n",
"2013-02-20 14:48:00 $32.00 2013-02-20 14:48:00 ... \n",
"2013-02-21 16:49:00 $32.00 2013-02-21 16:49:00 ... \n",
"2013-02-21 17:35:00 $32.00 2013-02-21 17:35:00 ... \n",
"2013-02-22 13:39:00 $32.00 2013-02-22 13:39:00 ... \n",
"2013-02-22 17:01:00 $32.00 2013-02-22 17:01:00 ... \n",
"2013-02-22 17:53:00 $52.00 2013-02-22 17:53:00 ... \n",
"... ... ... ... \n",
"2015-02-26 20:31:00 $32.00 2015-02-26 20:31:00 ... \n",
"2015-02-26 22:21:00 $77.00 2015-02-26 22:21:00 ... \n",
"2015-02-27 09:57:00 $32.00 2015-02-27 09:57:00 ... \n",
"2015-02-27 10:34:00 $32.00 2015-02-27 10:34:00 ... \n",
"2015-02-27 12:35:00 $32.00 2015-02-27 12:35:00 ... \n",
"2015-02-27 12:35:00 $32.00 2015-02-27 12:35:00 ... \n",
"2015-02-27 12:40:00 $32.00 2015-02-27 12:40:00 ... \n",
"2015-02-27 12:47:00 $32.00 2015-02-27 12:47:00 ... \n",
"2015-02-27 13:12:00 $32.00 2015-02-27 13:12:00 ... \n",
"2015-02-27 14:23:00 $32.00 2015-02-27 14:23:00 ... \n",
"2015-02-27 14:27:00 $32.00 2015-02-27 14:27:00 ... \n",
"2015-02-27 14:49:00 $32.00 2015-02-27 14:49:00 ... \n",
"2015-02-27 15:04:00 $52.00 2015-02-27 15:04:00 ... \n",
"2015-02-27 16:52:00 $52.00 2015-02-27 16:52:00 ... \n",
"2015-02-27 16:54:00 $52.00 2015-02-27 16:54:00 ... \n",
"2015-02-27 18:34:00 $32.00 2015-02-27 18:34:00 ... \n",
"2015-02-27 18:41:00 $32.00 2015-02-27 18:41:00 ... \n",
"2015-02-27 18:56:00 $32.00 2015-02-27 18:56:00 ... \n",
"2015-02-27 19:01:00 $32.00 2015-02-27 19:01:00 ... \n",
"2015-02-27 19:07:00 $32.00 2015-02-27 19:07:00 ... \n",
"2015-02-27 21:55:00 $32.00 2015-02-27 21:55:00 ... \n",
"2015-02-27 22:06:00 $32.00 2015-02-27 22:06:00 ... \n",
"2015-02-27 22:10:00 $77.00 2015-02-27 22:10:00 ... \n",
"2015-02-28 01:23:00 $52.00 2015-02-28 01:23:00 ... \n",
"2015-02-28 01:24:00 $52.00 2015-02-28 01:24:00 ... \n",
"2015-02-28 11:30:00 $32.00 2015-02-28 11:30:00 ... \n",
"2015-02-28 11:36:00 $32.00 2015-02-28 11:36:00 ... \n",
"2015-02-28 11:38:00 $32.00 2015-02-28 11:38:00 ... \n",
"2015-02-28 11:41:00 $32.00 2015-02-28 11:41:00 ... \n",
"2015-02-28 11:51:00 $32.00 2015-02-28 11:51:00 ... \n",
"\n",
" penaltyDate openFine openPenalty noticeDate \\\n",
"violDate \n",
"2013-02-01 11:17:00 0 $32.00 $0.00 0 \n",
"2013-02-01 13:35:00 0 $0.00 $0.00 02/27/2013 \n",
"2013-02-04 18:24:00 0 $52.00 $0.00 0 \n",
"2013-02-07 12:14:00 0 $0.00 $0.00 03/05/2013 \n",
"2013-02-08 09:37:00 0 $32.00 $325.00 03/05/2013 \n",
"2013-02-08 09:45:00 0 $0.00 $0.00 03/05/2013 \n",
"2013-02-09 17:48:00 0 $0.00 $0.00 03/05/2013 \n",
"2013-02-09 20:25:00 0 $32.00 $0.00 0 \n",
"2013-02-09 20:44:00 0 $52.00 $304.00 07/01/2013 \n",
"2013-02-11 10:51:00 0 $32.00 $0.00 0 \n",
"2013-02-11 12:57:00 0 $32.00 $325.00 03/05/2013 \n",
"2013-02-11 13:08:00 0 $32.00 $300.00 03/05/2013 \n",
"2013-02-12 11:46:00 0 $32.00 $325.00 03/05/2013 \n",
"2013-02-13 11:07:00 0 $0.00 $0.00 09/03/2013 \n",
"2013-02-13 13:15:00 0 $25.00 $149.00 03/13/2013 \n",
"2013-02-13 13:58:00 0 $0.00 $0.00 09/03/2013 \n",
"2013-02-15 12:40:00 0 $0.00 $0.00 03/13/2013 \n",
"2013-02-15 12:42:00 0 $32.00 $165.00 03/13/2013 \n",
"2013-02-16 13:42:00 0 $32.00 $300.00 07/01/2013 \n",
"2013-02-16 13:49:00 0 $0.00 $0.00 03/13/2013 \n",
"2013-02-18 09:11:00 0 $32.00 $325.00 03/13/2013 \n",
"2013-02-19 21:41:00 0 $0.00 $0.00 03/13/2013 \n",
"2013-02-20 11:47:00 0 $32.00 $0.00 0 \n",
"2013-02-20 11:51:00 0 $0.00 $0.00 03/13/2013 \n",
"2013-02-20 14:48:00 0 $32.00 $300.00 07/01/2013 \n",
"2013-02-21 16:49:00 0 $32.00 $0.00 0 \n",
"2013-02-21 17:35:00 0 $0.00 $0.00 0 \n",
"2013-02-22 13:39:00 0 $32.00 $325.00 03/20/2013 \n",
"2013-02-22 17:01:00 0 $32.00 $300.00 03/20/2013 \n",
"2013-02-22 17:53:00 0 $52.00 $377.00 03/20/2013 \n",
"... ... ... ... ... \n",
"2015-02-26 20:31:00 0 $32.00 $0.00 0 \n",
"2015-02-26 22:21:00 0 $77.00 $0.00 0 \n",
"2015-02-27 09:57:00 0 $32.00 $0.00 0 \n",
"2015-02-27 10:34:00 0 $32.00 $0.00 0 \n",
"2015-02-27 12:35:00 0 $32.00 $0.00 0 \n",
"2015-02-27 12:35:00 0 $32.00 $0.00 0 \n",
"2015-02-27 12:40:00 0 $32.00 $0.00 0 \n",
"2015-02-27 12:47:00 0 $32.00 $0.00 0 \n",
"2015-02-27 13:12:00 0 $32.00 $0.00 0 \n",
"2015-02-27 14:23:00 0 $32.00 $0.00 0 \n",
"2015-02-27 14:27:00 0 $32.00 $0.00 0 \n",
"2015-02-27 14:49:00 0 $32.00 $0.00 0 \n",
"2015-02-27 15:04:00 0 $52.00 $0.00 0 \n",
"2015-02-27 16:52:00 0 $52.00 $0.00 0 \n",
"2015-02-27 16:54:00 0 $52.00 $0.00 0 \n",
"2015-02-27 18:34:00 0 $32.00 $0.00 0 \n",
"2015-02-27 18:41:00 0 $32.00 $0.00 0 \n",
"2015-02-27 18:56:00 0 $32.00 $0.00 0 \n",
"2015-02-27 19:01:00 0 $32.00 $0.00 0 \n",
"2015-02-27 19:07:00 0 $32.00 $0.00 0 \n",
"2015-02-27 21:55:00 0 $32.00 $0.00 0 \n",
"2015-02-27 22:06:00 0 $32.00 $0.00 0 \n",
"2015-02-27 22:10:00 0 $77.00 $0.00 0 \n",
"2015-02-28 01:23:00 0 $52.00 $0.00 0 \n",
"2015-02-28 01:24:00 0 $52.00 $0.00 0 \n",
"2015-02-28 11:30:00 0 $32.00 $0.00 0 \n",
"2015-02-28 11:36:00 0 $32.00 $0.00 0 \n",
"2015-02-28 11:38:00 0 $32.00 $0.00 0 \n",
"2015-02-28 11:41:00 0 $32.00 $0.00 0 \n",
"2015-02-28 11:51:00 0 $32.00 $0.00 0 \n",
"\n",
" ImportDate violFine_parsed \\\n",
"violDate \n",
"2013-02-01 11:17:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-02-01 13:35:00 12/20/2013 12:03:00 PM +0000 32 \n",
"2013-02-04 18:24:00 05/07/2013 05:41:00 PM +0000 52 \n",
"2013-02-07 12:14:00 03/19/2014 11:02:00 AM +0000 32 \n",
"2013-02-08 09:37:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-08 09:45:00 05/31/2014 11:03:00 AM +0000 32 \n",
"2013-02-09 17:48:00 02/06/2014 12:02:00 PM +0000 32 \n",
"2013-02-09 20:25:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-02-09 20:44:00 01/09/2015 12:02:00 PM +0000 52 \n",
"2013-02-11 10:51:00 02/13/2013 12:03:00 PM +0000 32 \n",
"2013-02-11 12:57:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-11 13:08:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-12 11:46:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-13 11:07:00 05/30/2014 11:02:00 AM +0000 32 \n",
"2013-02-13 13:15:00 10/23/2014 11:02:00 AM +0000 32 \n",
"2013-02-13 13:58:00 04/03/2014 11:02:00 AM +0000 32 \n",
"2013-02-15 12:40:00 06/25/2014 11:02:00 AM +0000 32 \n",
"2013-02-15 12:42:00 08/26/2014 11:02:00 AM +0000 32 \n",
"2013-02-16 13:42:00 01/09/2015 12:02:00 PM +0000 32 \n",
"2013-02-16 13:49:00 01/23/2014 12:02:00 PM +0000 32 \n",
"2013-02-18 09:11:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-19 21:41:00 05/07/2013 05:41:00 PM +0000 77 \n",
"2013-02-20 11:47:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-02-20 11:51:00 05/07/2014 11:03:00 AM +0000 32 \n",
"2013-02-20 14:48:00 01/09/2015 12:02:00 PM +0000 32 \n",
"2013-02-21 16:49:00 05/07/2013 05:41:00 PM +0000 32 \n",
"2013-02-21 17:35:00 05/25/2013 11:03:00 AM +0000 32 \n",
"2013-02-22 13:39:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-22 17:01:00 10/09/2014 11:02:00 AM +0000 32 \n",
"2013-02-22 17:53:00 01/09/2015 12:02:00 PM +0000 52 \n",
"... ... ... \n",
"2015-02-26 20:31:00 02/28/2015 12:03:00 PM +0000 32 \n",
"2015-02-26 22:21:00 02/28/2015 12:03:00 PM +0000 77 \n",
"2015-02-27 09:57:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 10:34:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 12:35:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 12:35:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 12:40:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 12:47:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 13:12:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 14:23:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 14:27:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 14:49:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 15:04:00 03/03/2015 12:01:00 PM +0000 52 \n",
"2015-02-27 16:52:00 03/03/2015 12:01:00 PM +0000 52 \n",
"2015-02-27 16:54:00 03/03/2015 12:01:00 PM +0000 52 \n",
"2015-02-27 18:34:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 18:41:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 18:56:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 19:01:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 19:07:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 21:55:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 22:06:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-27 22:10:00 03/03/2015 12:01:00 PM +0000 77 \n",
"2015-02-28 01:23:00 03/03/2015 12:01:00 PM +0000 52 \n",
"2015-02-28 01:24:00 03/03/2015 12:01:00 PM +0000 52 \n",
"2015-02-28 11:30:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-28 11:36:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-28 11:38:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-28 11:41:00 03/03/2015 12:01:00 PM +0000 32 \n",
"2015-02-28 11:51:00 03/03/2015 12:01:00 PM +0000 32 \n",
"\n",
" openFine_parsed openPenalty_parsed balance_parsed \\\n",
"violDate \n",
"2013-02-01 11:17:00 32 0 32 \n",
"2013-02-01 13:35:00 0 0 0 \n",
"2013-02-04 18:24:00 52 0 52 \n",
"2013-02-07 12:14:00 0 0 0 \n",
"2013-02-08 09:37:00 32 325 357 \n",
"2013-02-08 09:45:00 0 0 0 \n",
"2013-02-09 17:48:00 0 0 0 \n",
"2013-02-09 20:25:00 32 0 32 \n",
"2013-02-09 20:44:00 52 304 356 \n",
"2013-02-11 10:51:00 32 0 32 \n",
"2013-02-11 12:57:00 32 325 357 \n",
"2013-02-11 13:08:00 32 300 332 \n",
"2013-02-12 11:46:00 32 325 357 \n",
"2013-02-13 11:07:00 0 0 0 \n",
"2013-02-13 13:15:00 25 149 174 \n",
"2013-02-13 13:58:00 0 0 0 \n",
"2013-02-15 12:40:00 0 0 0 \n",
"2013-02-15 12:42:00 32 165 197 \n",
"2013-02-16 13:42:00 32 300 332 \n",
"2013-02-16 13:49:00 0 0 0 \n",
"2013-02-18 09:11:00 32 325 357 \n",
"2013-02-19 21:41:00 0 0 0 \n",
"2013-02-20 11:47:00 32 0 32 \n",
"2013-02-20 11:51:00 0 0 0 \n",
"2013-02-20 14:48:00 32 300 332 \n",
"2013-02-21 16:49:00 32 0 32 \n",
"2013-02-21 17:35:00 0 0 0 \n",
"2013-02-22 13:39:00 32 325 357 \n",
"2013-02-22 17:01:00 32 300 332 \n",
"2013-02-22 17:53:00 52 377 429 \n",
"... ... ... ... \n",
"2015-02-26 20:31:00 32 0 0 \n",
"2015-02-26 22:21:00 77 0 77 \n",
"2015-02-27 09:57:00 32 0 32 \n",
"2015-02-27 10:34:00 32 0 32 \n",
"2015-02-27 12:35:00 32 0 32 \n",
"2015-02-27 12:35:00 32 0 32 \n",
"2015-02-27 12:40:00 32 0 32 \n",
"2015-02-27 12:47:00 32 0 32 \n",
"2015-02-27 13:12:00 32 0 32 \n",
"2015-02-27 14:23:00 32 0 32 \n",
"2015-02-27 14:27:00 32 0 32 \n",
"2015-02-27 14:49:00 32 0 32 \n",
"2015-02-27 15:04:00 52 0 52 \n",
"2015-02-27 16:52:00 52 0 52 \n",
"2015-02-27 16:54:00 52 0 52 \n",
"2015-02-27 18:34:00 32 0 32 \n",
"2015-02-27 18:41:00 32 0 32 \n",
"2015-02-27 18:56:00 32 0 32 \n",
"2015-02-27 19:01:00 32 0 32 \n",
"2015-02-27 19:07:00 32 0 32 \n",
"2015-02-27 21:55:00 32 0 32 \n",
"2015-02-27 22:06:00 32 0 32 \n",
"2015-02-27 22:10:00 77 0 77 \n",
"2015-02-28 01:23:00 52 0 52 \n",
"2015-02-28 01:24:00 52 0 52 \n",
"2015-02-28 11:30:00 32 0 32 \n",
"2015-02-28 11:36:00 32 0 32 \n",
"2015-02-28 11:38:00 32 0 32 \n",
"2015-02-28 11:41:00 32 0 32 \n",
"2015-02-28 11:51:00 32 0 32 \n",
"\n",
" ImportDate_parsed \n",
"violDate \n",
"2013-02-01 11:17:00 2013-05-07 17:41:00 \n",
"2013-02-01 13:35:00 2013-12-20 12:03:00 \n",
"2013-02-04 18:24:00 2013-05-07 17:41:00 \n",
"2013-02-07 12:14:00 2014-03-19 11:02:00 \n",
"2013-02-08 09:37:00 2014-10-09 11:02:00 \n",
"2013-02-08 09:45:00 2014-05-31 11:03:00 \n",
"2013-02-09 17:48:00 2014-02-06 12:02:00 \n",
"2013-02-09 20:25:00 2013-05-07 17:41:00 \n",
"2013-02-09 20:44:00 2015-01-09 12:02:00 \n",
"2013-02-11 10:51:00 2013-02-13 12:03:00 \n",
"2013-02-11 12:57:00 2014-10-09 11:02:00 \n",
"2013-02-11 13:08:00 2014-10-09 11:02:00 \n",
"2013-02-12 11:46:00 2014-10-09 11:02:00 \n",
"2013-02-13 11:07:00 2014-05-30 11:02:00 \n",
"2013-02-13 13:15:00 2014-10-23 11:02:00 \n",
"2013-02-13 13:58:00 2014-04-03 11:02:00 \n",
"2013-02-15 12:40:00 2014-06-25 11:02:00 \n",
"2013-02-15 12:42:00 2014-08-26 11:02:00 \n",
"2013-02-16 13:42:00 2015-01-09 12:02:00 \n",
"2013-02-16 13:49:00 2014-01-23 12:02:00 \n",
"2013-02-18 09:11:00 2014-10-09 11:02:00 \n",
"2013-02-19 21:41:00 2013-05-07 17:41:00 \n",
"2013-02-20 11:47:00 2013-05-07 17:41:00 \n",
"2013-02-20 11:51:00 2014-05-07 11:03:00 \n",
"2013-02-20 14:48:00 2015-01-09 12:02:00 \n",
"2013-02-21 16:49:00 2013-05-07 17:41:00 \n",
"2013-02-21 17:35:00 2013-05-25 11:03:00 \n",
"2013-02-22 13:39:00 2014-10-09 11:02:00 \n",
"2013-02-22 17:01:00 2014-10-09 11:02:00 \n",
"2013-02-22 17:53:00 2015-01-09 12:02:00 \n",
"... ... \n",
"2015-02-26 20:31:00 2015-02-28 12:03:00 \n",
"2015-02-26 22:21:00 2015-02-28 12:03:00 \n",
"2015-02-27 09:57:00 2015-03-03 12:01:00 \n",
"2015-02-27 10:34:00 2015-03-03 12:01:00 \n",
"2015-02-27 12:35:00 2015-03-03 12:01:00 \n",
"2015-02-27 12:35:00 2015-03-03 12:01:00 \n",
"2015-02-27 12:40:00 2015-03-03 12:01:00 \n",
"2015-02-27 12:47:00 2015-03-03 12:01:00 \n",
"2015-02-27 13:12:00 2015-03-03 12:01:00 \n",
"2015-02-27 14:23:00 2015-03-03 12:01:00 \n",
"2015-02-27 14:27:00 2015-03-03 12:01:00 \n",
"2015-02-27 14:49:00 2015-03-03 12:01:00 \n",
"2015-02-27 15:04:00 2015-03-03 12:01:00 \n",
"2015-02-27 16:52:00 2015-03-03 12:01:00 \n",
"2015-02-27 16:54:00 2015-03-03 12:01:00 \n",
"2015-02-27 18:34:00 2015-03-03 12:01:00 \n",
"2015-02-27 18:41:00 2015-03-03 12:01:00 \n",
"2015-02-27 18:56:00 2015-03-03 12:01:00 \n",
"2015-02-27 19:01:00 2015-03-03 12:01:00 \n",
"2015-02-27 19:07:00 2015-03-03 12:01:00 \n",
"2015-02-27 21:55:00 2015-03-03 12:01:00 \n",
"2015-02-27 22:06:00 2015-03-03 12:01:00 \n",
"2015-02-27 22:10:00 2015-03-03 12:01:00 \n",
"2015-02-28 01:23:00 2015-03-03 12:01:00 \n",
"2015-02-28 01:24:00 2015-03-03 12:01:00 \n",
"2015-02-28 11:30:00 2015-03-03 12:01:00 \n",
"2015-02-28 11:36:00 2015-03-03 12:01:00 \n",
"2015-02-28 11:38:00 2015-03-03 12:01:00 \n",
"2015-02-28 11:41:00 2015-03-03 12:01:00 \n",
"2015-02-28 11:51:00 2015-03-03 12:01:00 \n",
"\n",
"[13158 rows x 21 columns]"
]
}
],
"prompt_number": 233
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}