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
- df.to_hdf5() in table append mode very slow with data_columns=True, append=True, index=False
- RecursionError with self referencing column in str(df) on DataFrame
- MultiIndex level dropped when multiplying two series with a single entry
- Should DatetimeIndex indexing with strings ever raise KeyError?
- Series.replace throws TypeError only on large dataset
- pandas.Series.isin() is slow on large sets due to conversion of set to list
- 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
- Docs
- Python not yet supported