Pandas¶
Python DataFrame library, built on top of NumPy and used by many other projects.
Logo |
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Website |
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Repository |
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. |
License |
BSD 3-clause |
Project age |
13 years 4 months |
Backers |
Chan Zuckerberg Initiative (Grant), NumFocus (Grant 2019), Quansight (Commercial support) |
Lastest News (2022-09-19) |
Pandas 1.5.0 This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to … more |
Size score (1 to 10, higher is better) |
7.25 |
Trend score (1 to 10, higher is better) |
5.25 |
Education Resources¶
URL |
Resource Type |
Description |
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https://pandas.pydata.org/docs/user_guide/index.html#user-guide |
Documentation |
This User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout. |
Example Code |
This is a pandas cookbook created in 2015 by Julian Evans, which was updated in 2020. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
115,438 |
24,032 |
Lines committed |
14,426,712 |
2,210,847 |
Unique committers |
3,119 |
379 |
Core committers |
18 |
11 |
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