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
- Very slow aggregation performance on object type column with Decimal datatype values
- Docstring Validator Fails when 'integer' is valid argument
- pivot and pivot_table not able to handle complex numbers
- subplots=True automatic xlim considers nan values since 0.24
- [0.24.1] New nullable integer fillna with non-int doesn't coerce to object
- Unexpected behavior of the str attribute which is working with Series of list
- Calculation of first item in the exponential weighted mean ( EWM)
- Inconsistent behavior when calling join/concat on DataFrames with CategoricalIndex and IntervalIndex
- Add "tee-like" function for easy introspection of intermediate steps in method chaining
- Series pct_change fill_method behavior
- Docs
- Python not yet supported