pandas 2.2.1
0
Powerful data structures for data analysis, time series, and statistics
Contents
Powerful data structures for data analysis, time series, and statistics
Stars: 41821, Watchers: 41821, Forks: 17279, Open Issues: 3725The pandas-dev/pandas
repo was created 13 years ago and the last code push was 39 minutes ago.
The project is extremely popular with a mindblowing 41821 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
- License
- BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2011-2023, Open source contributors. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- Homepage
- https://pandas.pydata.org
- PyPi:
- https://pypi.org/project/pandas/
- Documentation:
- https://pandas.pydata.org/docs/
- 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.
GitHub Issues
The pandas package has 3725 open issues on GitHub
- BUG: groupby transform doesn't respect Series index anymore
- BUG: Incorrect behavior of window aggregation functions on disjoint windows skipping overflowing elements
- Revert "PERF: nancorr pearson (#42761)"
- BUG: frame.shift(axis=1) with ArrayManager
- REGR: Series.fillna(downcast=False)
- Switch deps to Conda
- BUG: REGRESSION: DataFrame.corr() floating point inaccuracy
- BUG: ArrayManager indexing mismatched behavior
- BUG: add_categories raises if the new category is included in the old
- BUG: concat with empty dataframe with columns passed and nonempty dataframe coerces dtype to object
- added staircase entry in Domain Specific and Accessors section of pan…
- DOC: add staircase to pandas ecosystem page in docs
- BUG: bootstrap_plot samples without replacement
- TST: Added test for setitem loc using datetime-like str
- BUG: read_csv with
memory_map=True
on BytesIO object fails