technology_waves
running patent data through a dataframe
Science Score: 28.0%
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
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○.zenodo.json file
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○DOI references
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○Academic links in README
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✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.5%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
running patent data through a dataframe
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 6 years ago
· Last pushed over 6 years ago
Metadata Files
Citation
Owner
- Name: Charles Knipp
- Login: charlesknipp
- Kind: user
- Location: Washington, DC
- Repositories: 1
- Profile: https://github.com/charlesknipp
Currently working on state space models, Bayesian algorithms, and topics from time series
Citation (citation_network.py)
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict
from tqdm import tqdm
df = pd.read_csv(
filepath_or_buffer = 'chunks/data0.csv',
usecols = ['patent_id','citation_id']
)
for i in tqdm(range(1,11)):
path = 'chunks/data%d.csv' % i
df_c = pd.read_csv(
filepath_or_buffer = path,
usecols = ['patent_id','citation_id']
)
df = pd.concat([df_c, df])
# group by citation to show the most cited patents
df1 = df.groupby(['citation_id']).count()
# sort by the number of times the patent has been cited
print(df1.sort_values(by = ['patent_id']))
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Charles Knipp | c****p@a****u | 14 |
Committer Domains (Top 20 + Academic)
asu.edu: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0