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
- dtype for tz-naive DatetimeArray and TimedeltaArray
- (row) Index Name is not displayed with header=False master tracker
- ENH: read_csv dtype with datetime w/tz & integrations with category
- Groupby(observed=False) behaviour does not follow description in docs for non-categoricals
- DISC: Remove DTA/TDA/PA `freq`
- DEPR: .select_dtypes accepts non-standard dtype references
- autocorr() and autocorrelation_plot() output mismatch
- MultiIndex.__iter__ on integer level with some missing keys casts to float
- read_csv should default to index_col = 0
- Issue warning in slow ExtensionArray base methods
- Docs
- Python not yet supported