python

["461585", ""]

|    |   |    |                 |
||||461585  |
||||        |

python3

pip install cpca

:cpcachinese province city area

ModuleNotFoundError: No module named 'jieba'

pip install jieba

star

cpca/resources/pca.csv2019220

Get Started

---

cpca.transformlistpandasSeriesDataFrame

python location_str = ["461585", "", ""] import cpca df = cpca.transform(location_str) df

0         461585
1         
2         

dfPandasDataFrameDataFramecsvexcelDataFramePandashttp://pandas.pydata.org/pandas-docs/version/0.20/dsintro.html#dataframe

""DataFramecsv

pos_sensitive=True

python location_str = ["461585", "", ""] import cpca df = cpca.transform(location_str, pos_sensitive=True) df

_pos _pos _pos 0 461585 -1 -1 0 1 -1 0 3 2 -1 -1 0

_pos_pos_pos-1-1

transformcutTruecutFalse

transformumap

python location_str = ["461585", "", ""] import cpca df = cpca.transform(location_str, umap={}) df

```

0 461585 1
2
```

umapcpca.py

python myumap = {'': '', '': '', '': '', '': '', '': '', '': '', '': '', '': '', '': '', '': ''}

"" """" """" umap

python location_str = ["89"] import cpca df = cpca.transform(location_str) df

```

0 89 ```

WARNING:root: , umap

,transformopen_warningFalse

python import cpca cpca.province_area_map.get_relational_addrs(('', ''))

python [('', '', ''), ('', '', '')]

transformumap

python location_str = ["89"] import cpca df = cpca.transform(location_str, umap={"":""}) df

```

0 89 ``

python location_str = ["89"] import cpca df = cpca.transform(location_str) df

```

0 89 ```

concatindextransformindex(datalistpandas)

python location_str = ["461585", "", ""] import cpca df = cpca.transform(location_str, index=["2018","2017","2016"]) df

```

2018 461585 2017
2016
```

---

issue #11

jieba

python location_str = ["403"] import cpca df = cpca.transform(location_str) df

```

0 403 ```

jieba:

python location_str = ["403"] import cpca df = cpca.transform(location_str, cut=False) df

```

0 403 ```

8(transformlookahead8)

lookahead

python location_str = ["403"] import cpca df = cpca.transform(location_str, cut=False, lookahead=3) df

python import cpca cpca.transform(["111591118"], cut=False, pos_sensitive=True) :

_pos _pos _pos 0 111591118 -1 -1 25

---

.

foliumpip install folium .

```python from cpca import drawer

dfdf

drawer.draw_locations(df, "df.html") ```

df.html ''''''

cpca/resources/pca.csv

```python

from cpca import latlng latlng[('','','')] #('39.95895316640668', '116.52169489108084')

""

from cpca import areamap areamap.getrelationaladdrs('') #[('', '', ''), ('', '', ''), ('', '', ''), ('', '', '')]

: citymap, provincemap

"", ""

from cpca import provinceareamap provinceareamap.getrelationaladdrs(('', '')) # [('', '', ''), ('', '', '')] ```

• """"""""

```python

location_strs = ["256", "256"]

import cpca df = cpca.transform(location_strs) df ```

```

0 256 1 256 ```

""""""""

```python import cpca

locationstr = ["","","",""] df = cpca.transform(locationstr) df ```

```

0
1
2
3
```

cpca/__init__.py7896

```python

location_strs = ["256"]

import cpca df = cpca.transform(location_strs) df ```

python import cpca cpca.transform(["111591118"], cut=False, pos_sensitive=True) :

_pos _pos _pos 0 111591118 -1 -1 25

""""

tests/addr.csv

**

```python

import pandas as pd origin = pd.read_csv("tests/addr.csv")

import cpca addr_df = cpca.transform(origin[""])

processed = pd.concat([origin, addrdf], axis=1) processed.tocsv("processed.csv", index=False, encoding="utf-8") ```

warnningwarnningumap.

1

foliumpip install foliumfolium

```python from cpca import drawer

processedprocessed

drawer.draw_locations(processed, "processed.html") ```

"processed.html"folium

2echarts:

foliumecharts.

pip install pyecharts pip install echarts-countries-pypkg pip install pyecharts-snapshot

processed python from cpca import drawer drawer.echarts_draw(processed, "echarts.html")

python def echarts_draw(locations, file_path, title="" , subtitle="location distribute"): """ echartshtml. :param locations: , pandasdataframe. :param file_path: html. :param title: :param subtitle: """

echarts.html

3()

python from cpca import drawer drawer.echarts_cate_draw(processed, processed[""], "echarts_cate.html")

echarts_cate.html

python def echarts_cate_draw(locations, labels, file_path, title="", subtitle="location distribute", point_size=7): """ echartshtml. :param locations: , pandasdataframe. :param labels: locations, . :param file_path: html. :param title: :param subtitle: :param point_size: """

How to Contribute

• tests
• python setup.py test

PR

END

issue