dataframe-api
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data-apis
RFC document, tooling and other content related to the dataframe API standard
The `__parameters__` property is currently part of the `Column`'s, `DataFrame`'s, and `GroupBy`'s APIs: https://data-apis.org/dataframe-api/draft/search.html?q=__parameters__ The same applies to the `__subclasshook__` property. This does seem like a bug to me.
Has anyone thought about implementing TPC-H using the dataframe API? I think this would be very useful to test the scope, and also to draw attention to the dataframe API....
I just wanted to raise this here https://github.com/mwaskom/seaborn/issues/3533 Try to plot a polars dataframe with a list column raises, even if that column wouldn't have been plotted Arguably this the...
Hello everyone! I've been mulling over introducing the Dataframe Exchange protocol in Pandas and Modin, and I think it would be beneficial for every end library implementing the protocol to...
This was brought up by @jorisvandenbossche: if two libraries both use the same library for in-memory data storage (e.g. buffers/columns are backed by NumPy or Arrow arrays), can we avoid...
Instead of having individual methods to query the DType, categorical description, null description and metadata (which I suspect might be replicated at the DataFrame level?), how about adding a first-class...
The description for USE_BITMASK does not specify in which order the bits of a byte are to be considered (from MSB to LSB or LSB to MSB). FTR, Arrow goes...
The fact that a Column is a sequence of Columns will probably be confusing in practice. Also, the `get_buffers` method does not appear well-defined on a chunked column.
> > If my assumption is incorrect > > Just as a sanity check I checked and pandas/vaex/cuDF/modin all return the type described in `Column.dtype` for the `get_buffers()` values. A....
Several implementations got ``Column.get_buffers()`` wrong by assuming the buffers dtypes would be the same as the column dtype. Clarify to eliminate any ambiguity. See https://github.com/apache/arrow/issues/37598 for example. Closes #273