pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- ENH: Update `testing.assert_frame_equal` message to list all cols with diffs
- BUG: rolling().corr() crash with time period
- ENH: Add `right` argument to `pandas.qcut` to support left-inclusive binning
- not necessarily for this PR, but should we add an EA attribute specifying whether copy=False is ignored? that way we could avoid overriding tests?
- String dtype: known differences and performance considerations for "pyarrow" vs "python" storage variants
- DOC: `from_dataframe` contains deprecated parameter `DataFrameXchg` but is not deprecated itself
- BUG: `pandas.array` works fine when 2-D array contains string
- DOC: clarify that `value_counts`, `sort_values`, `sort_index` etc. are deterministic
- BUG: read_csv failure to convert dtype is not considered a 'bad line'
- BUG: Make Series flex methods raise NotImplementedError for bool dtypes
- Docs
- Python not yet supported