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
- BUG: pandas.DataFrame.interpolate fails with high value of `limit` argument
- PERF: DataFrame.query slow when it contains PeriodIndex/Array
- ENH: At top-level dataframe function for single-dispatched construction of a DataFrame
- BUG: pd.concat(..., copy=False) still causes copy on block consolidation.
- BUG: Segmentation faults in pd.read_csv for large files
- ERR: could pandas suggest to use bitwise operators to filter instead of `and` and `or`, as on Kaggle?
- PERF: conversion to M8[ns]/datetime64[ns] is slow from "M8[s]" and other time resolutions
- BUG: DataFrame.drop_duplicates confuses NULL bytes
- BUG: Different behavior when set a list(scalar) to entire column and to some (filtered) rows
- Add axis argument to DataFrame.corr
- Docs
- Python not yet supported