We are open source, make it better. ;)
The pandas api is bad
pandas
271 posts
pandas
@pandas_dev
Official account of the pandas project
Joined July 2018
- Pandas 1.0 is here! * Read the release notes: pandas.pydata.org/pandas-docs/ve… * Read the blogpost reflecting on what 1.0 means to our project: dev.pandas.io/pandas-blog/pa… * Install with conda / PyPI: pandas.pydata.org/pandas-docs/ve… Thanks to our 300+ contributors to this release.
- We are better than SQL. Except when SQL is better.am i the only one who likes both pandas and SQL
- We've got a new logo! Thanks @indeed for sponsoring the creation of the new logo. And thanks @matplotlib for generating our old logo for more than 10 years (yes, the old logo was generated with a simple Matplotlib script).
- We are happy to announce the release candidate of pandas 2.0.0. It can be installed from our conda-forge and PyPI packages via mamba, conda or pip, for example: mamba install -c conda-forge/label/pandas_rc pandas==2.0.0rc0 python -m pip install --upgrade --pre pandas==2.0.0rc0
- Artificial intelligence may not be so intelligent if it uses pandas .apply() when not strictly necessary. Our operations are usually vectorized (very fast), .apply() is usually not, so it may be very slow. Avoid loops and apply if a pandas operation exists for what you need.I love GPT-4 code assistant but it uses .apply() for every bit of pandas code and I ain't about it
- We're happy to announce the release of #pandas 2.0.0. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. You can find what's new in this version in the release notes. Thanks to all contributors and sponsors who made this release possible!
- Replying to @pandas_devWe'd like to apologize to @teej_m. This tweet was never meant as a personal attack, or a "fix it yourself" as many users understood. We welcome all criticism and work with the community every day to make the API better, constrained by being as backward compatible as possible.
- Pandas 1.1.0 is now available! mail.python.org/pipermail/pand… Thanks to the 360+ code contributors who made this release possible: pandas.pydata.org/docs/whatsnew/…
- #pandas 2 uses less memory if you enable copy-on-write with: pd.options.mode.copy_on_write = True Learn more about CoW from our core developer Patrick in this blog post: phofl.github.io/cow-deep-dive.… And in the official docs: pandas.pydata.org/docs/user_guid…
- We're happy to announce the release of #pandas 2.1.0. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. You can find what's new in this version in the release notes. Thanks to all contributors and sponsors who made this release possible!
- Lots of deprecations will be enforced in version 2.0.0, please pay attention to your FutureWarnings
- #pandas has two internal ways to store strings: NumPy and PyArrow (faster). pandas 3.0 will change the default and strings will use PyArrow when for example calling read_csv. You can get this change now in pandas 2.1 with: pandas.options.future.infer_string = True
- Pandas 1.0.0rc0 is now available for testing! Please try it out and report any issues. mail.python.org/pipermail/pand…
