pandas NA handling

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NA handling methods

isnull, not null

The built-in Python None value is also treated as NA in object arrays

dropna

There are a few ways to filter out missing data. While you always have the option to do it by hand using pandas.isnull and boolean indexing, the dropna can be helpful. On a Series, it returns the Series with only the non-null data and index values.

Reference

Python for Data Analysis Second Edition

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.isnull.html

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.notnull.html

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dropna.html

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.fillna.html

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html

pandas NA handling

原文：https://www.cnblogs.com/agilestyle/p/12254786.html