pandas
https://github.com/pandas-dev/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
- BUG: error thrown reindexing empty CategoricalIndex
- segfault in groupby().cummax()
- pd.merge on Categoricals duplicating unique rows
- API: add a more generic type checking function
- DataFrame.from_dict unexpectedly "flatten" tuples in the dictionary keys
- using DataFrame.resample with 'agg' method on non-existant columns provides unexpected behavior
- PERF: pandas' import time
- inf comparison doesn't emulate NaN with use_inf_as_null
- The exceptions from to_datetime(errors='raise') could include information about the exception
- MAINT: Drop pd.options.display.mpl_style
- incorrect result for 'fast path' .nunique on groupby
- FIX: Allow aggregate to return dictionaries again #16741
- inconsistent type returned on single (string) column subsetting
- DOC: add section on data validation and library engarde
- MAINT: Drop Index.sym_diff
- API: provide a to_enum method for Categorical dtypes?
- DataFrameGroupBy.boxplot with subplots=False fails when using column param
- pd.TimeGrouper documentation missing key and level parameters
- ENH: simple patch for read_json compression
- Grouper using frequency has inconsistent behavior inside and outside a list
- Docs