pythonfix
pandas 3.0.1
0
Powerful data structures for data analysis, time series, and statistics
Contents
Powerful data structures for data analysis, time series, and statistics
Stars: 47903, Watchers: 47903, Forks: 19665, Open Issues: 3658The pandas-dev/pandas repo was created 15 years ago and the last code push was 3 hours ago.
The project is extremely popular with a mindblowing 47903 github stars!
How to Install pandas
You can install pandas using pip
pip install pandas
or add it to a project with poetry
poetry add pandas
Package Details
- Author
- None
- License
- BSD 3-Clause License
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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Kain orc Pascal Cuoq Patrick Oppenlander Petr Hosek Petr Skocik Pierre Carrier Reini Urban Rich Felker Richard Pennington Ryan Fairfax Samuel Holland Segev Finer Shiz sin Solar Designer Stefan Kristiansson Stefan O'Rear Szabolcs Nagy Timo Teräs Trutz Behn Valentin Ochs Will Dietz William Haddon William Pitcock Portions of this software are derived from third-party works licensed under terms compatible with the above MIT license: The TRE regular expression implementation (src/regex/reg* and src/regex/tre*) is Copyright © 2001-2008 Ville Laurikari and licensed under a 2-clause BSD license (license text in the source files). The included version has been heavily modified by Rich Felker in 2012, in the interests of size, simplicity, and namespace cleanliness. Much of the math library code (src/math/* and src/complex/*) is Copyright © 1993,2004 Sun Microsystems or Copyright © 2003-2011 David Schultz or Copyright © 2003-2009 Steven G. Kargl or Copyright © 2003-2009 Bruce D. 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HISTORY OF THE SOFTWARE ========================== Python was created in the early 1990s by Guido van Rossum at Stichting Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands as a successor of a language called ABC. Guido remains Python's principal author, although it includes many contributions from others. In 1995, Guido continued his work on Python at the Corporation for National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) in Reston, Virginia where he released several versions of the software. In May 2000, Guido and the Python core development team moved to BeOpen.com to form the BeOpen PythonLabs team. In October of the same year, the PythonLabs team moved to Digital Creations, which became Zope Corporation. In 2001, the Python Software Foundation (PSF, see https://www.python.org/psf/) was formed, a non-profit organization created specifically to own Python-related Intellectual Property. Zope Corporation was a sponsoring member of the PSF. All Python releases are Open Source (see https://opensource.org for the Open Source Definition). Historically, most, but not all, Python releases have also been GPL-compatible; the table below summarizes the various releases. Release Derived Year Owner GPL- from compatible? (1) 0.9.0 thru 1.2 1991-1995 CWI yes 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes 1.6 1.5.2 2000 CNRI no 2.0 1.6 2000 BeOpen.com no 1.6.1 1.6 2001 CNRI yes (2) 2.1 2.0+1.6.1 2001 PSF no 2.0.1 2.0+1.6.1 2001 PSF yes 2.1.1 2.1+2.0.1 2001 PSF yes 2.1.2 2.1.1 2002 PSF yes 2.1.3 2.1.2 2002 PSF yes 2.2 and above 2.1.1 2001-now PSF yes Footnotes: (1) GPL-compatible doesn't mean that we're distributing Python under the GPL. All Python licenses, unlike the GPL, let you distribute a modified version without making your changes open source. The GPL-compatible licenses make it possible to combine Python with other software that is released under the GPL; the others don't. (2) According to Richard Stallman, 1.6.1 is not GPL-compatible, because its license has a choice of law clause. According to CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 is "not incompatible" with the GPL. Thanks to the many outside volunteers who have worked under Guido's direction to make these releases possible. B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON =============================================================== Python software and documentation are licensed under the Python Software Foundation License Version 2. Starting with Python 3.8.6, examples, recipes, and other code in the documentation are dual licensed under the PSF License Version 2 and the Zero-Clause BSD license. Some software incorporated into Python is under different licenses. The licenses are listed with code falling under that license. PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 -------------------------------------------- 1. 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In the event Licensee prepares a derivative work that is based on or incorporates Python or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to Python. 4. PSF is making Python available to Licensee on an "AS IS" basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. 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- None
- PyPi:
- https://pypi.org/project/pandas/
- GitHub Repo:
- https://github.com/pandas-dev/pandas
Classifiers
- Scientific/Engineering
Related Packages
Errors
A list of common pandas errors.
Code Examples
Here are some pandas code examples and snippets.
Plot 3 different Pandas Dataframes in the same chart
import pandas as pd import numpy as np from matplotlib import pyplot as plt#using numpy's randint to generate some data df1 = pd.DataFrame(np.random.randint(0,100,size=(10, 2)), columns=list('XY')) df2 = pd.DataFrame(np.random.randint(0,100,size=(10, 2)), columns=list('XY')) df3 = pd.DataFrame(np.random.randint(0,100,size=(10, 2)), columns=list('XY'))df1.head(), df2.head(), df3.head()( X Y 0 82 32 1 79 13 2 87 19 3 6 73 4 1 38, X Y 0 47 62 1 41 0 2 98 78 3 63 83 4 31 59, X Y 0 57 25 1 49 27 2 9 29 3 93 75 4 23 80)# Get handle of first figure to pass to other plot() calls as ax ax = df1.plot(color="red", figsize=(10,5)) df2.plot(ax=ax, color="orange", figsize=(10,5)) df3.plot(ax=ax, color="green", figsize=(10,5)) # Note: subsequent plots need to happen in the same notebook cell.<AxesSubplot:>
Use pandas and matplotlib to produce a chart of natural gas prices
In this example Python code, we use
requeststo fetch data from the EIA.gov website andjsonfrom the Python standard library to parse the json data. Next, we load the daily prices into aPandasDataFrame and format the date column and set it as the index. Finally, we use Pandas .plot() to create a chart saving it as a png image.
GitHub Issues
The pandas package has 3658 open issues on GitHub
- BUG: Conversion from numpy masked arrays to pandas array does not preserve missing values
- DOC: Fix PR02 for pandas.tseries.offsets.CBMonthBegin
- DOC: correctly define aliases
- BUG: AttributeError: 'ArrowStringArray' object has no attribute 'item'
- BUG: Correct length_of_indexer for range objects
- CI: Test editable install for doctests
- DOC: minor alignment fixes to
pandas.melt()docstring - BUG: Clarify KeyError for missing groups in GroupBy.get_group
- Pr02 fix
- ENH: Data Entropy & Information Loss Tracking for DataFrame Transformations
- DOC: define py:type targets for typing aliases
- DOC: Update DataFrame.stack() docstring for 3.0 deprecations
- ENH: Pass arguments to pa.to_pandas in
read_csv(engine="pyarrow") - ENH: rechunk after concat for arrow-backed array
- DOC: Add User Guide link to qcut docstring (#62357)
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