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
- DataFrame.loc multiple columns replace
- ENH/PERF: allow mask to be optional in our masked ExtensionArrays
- Remove all preprocessing from PlotAccessor.__call__
- Pivot Table Margins aren't correctly showing NaN values despite dummy variables
- errors='ignore' does not work on df.replace({col : type}) if col not found
- Docs request: Specifying behavior of `dtype` parameter
- read_html docs inconsistent with behaviour if lxml not installed
- Very frustrating not to be able to apply per-column date formats exporting to Excel
- API: public way to get the "best values" of a Series?
- Feature request: Protocol for converting something to a pandas DataFrame
- Docs
- Python not yet supported