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
- pandas.Series.isin() is slow on large sets due to conversion of set to list
- Inconsistent behaviour when assigning to series?
- Timestamp incorrectly handles datetime64 with exotic units
- TypeError: dtype '<class 'datetime.datetime'>' not understood
- df.set_index with drop=False by default create a dataframe ambiguous for df.sort_values
- Concat with mixed single index / multi-index and keys gives confusing error message
- to_string() not easily reversible for multi-index DataFrames
- Serialize/deserialize a Categorical whose values are taken from an enum
- Dataframe agg method passing as list
- read_excel throws ValueError: cannot specify usecols when specifying a multi-index header
- Docs
- Python not yet supported