pandas

pandas 3 has been released and marks the most significant evolution of #pandas in over ten years. No more `copy()` everywhere, and no more `lambda` gymnastics. Want examples? Read this hands-on article with the main changes: datapythonista.me/blog/whats-new…

We're happy to announce the release of #pandas 2.3.0. You can install it with `pip install pandas` or `conda install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

@kolibril13 @DataPolars tip - use `engine='pyarrow'`

Benchmark: Reading 10 million data points: 📊 @pandas_dev: 1.4 seconds ⚡️ @DataPolars: 0.1 seconds Reproduce this experiment with: uv run gist.githubusercontent.com/kolibril13/f45… No virtual environment needed – uv handles the setup for this fully self-contained script!

Hey we're the fastest at writing 2300 Parquet files, we can do it in 0 minutes! Oh, wait

@bryced8 @suno_ai_ impressive 😄are you referring to pandas.pydata.org/pdeps/0004-con… ?

A ballad on upgrading to Pandas 2.0. @pandas_dev @suno_ai_

For a second I thought this headline was about @pandas_dev and was like HELLSSS YEAH! sfstandard.com/2024/06/12/san…

We're happy to announce the release of #pandas 2.2.2. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

@Melch97719953 This probably happened during the release, we can't reproduce it now. Can you check if it's fixed for you too now?

We're happy to announce the release of #pandas 2.2.1. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

How fast can a CSV file be processed? I explain in detail comparing many options such as @pandas_dev, @duckdb, @DataPolars, #Python, #R, #rustlang and more in this new blog post: datapythonista.me/blog/how-fast-…

We're happy to announce the release of #pandas 2.2.0. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

We are excited to announce a release candidate for #pandas 2.2.0 has just been released. If all goes well, we'll release #pandas 2.2.0 in about 2 weeks. Full list of changes and contributors: pandas.pydata.org/docs/dev/whats…

We're happy to announce the release of #pandas 2.1.4. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

@short_vix Hi @short_vix - could you clarify which deprecations and changes you don't like please? You're more than welcome to use Polars of course (like pandas, it's free open source software), just trying to get a better idea of what you think the team has done wrong here

@pandas_dev Who is driving the recent pandas updates? The recent depreciations and general changes are driving me to completely switch to polars. I run a startup and I’d be happy to throw funding to get rid of whoever is behind these decisions.

We're happy to announce the release of #pandas 2.1.2. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible! The release notes can be found at: pandas.pydata.org/docs/whatsnew/…

@RitchieVink @R0b0tSp1der @DataPolars In pandas' resample, you can do `label='right'` I think they're asking for something similar in Polars' group_by_dynamic?

@R0b0tSp1der @DataPolars For 2. Doing a `cumsum` of a literal produces the same literal, so that' not very useful. What you're looking for is rank: stackoverflow.com/a/74982892/671… 3) What do you want to achieve? 1) I need more context of what you mean here. (I am no timeseries expert :) )

You can read the pre-release of the first chapters of the upcoming O'Reilly polars book. Join our discord to download the PDF: discord.com/invite/4UfP5cf…

@SatelliteSci Good point, thanks for the feedback. Tweet length limits make it a bit tricky, but we'll see if we can add them in a thread or something next time. Here you have the link to for the 2.1.1 release notes: pandas.pydata.org/docs/whatsnew/…

@pandas_dev Hey @pandas_dev, any chance you could include a link to the release notes for these updates? Would make it easier to quickly check out what's new 🙂

We're happy to announce the release of #pandas 2.1.1. 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!

@Mousa3Mousa @wesmckinn @datapythonista Something like ```python df.loc[df.index < df.index[0] + offset] ```

@pandas_dev I have seen new warning in pandas2.1.1 asking to use df.loc rather than df.last(“m”) for datatime index. Do you have any examples for this? @wesmckinn @datapythonista

Can #pandas be lazy? There has been some discussion and a proof of concept about it recently.