Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
10 lines
805 B
Markdown
10 lines
805 B
Markdown
# isnull, isna
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`isnull()` and `isna()` are equivalent Pandas methods that return a boolean DataFrame or Series indicating which values are missing (NaN). They are the first step in assessing data completeness. Combined with `.sum()`, they give a count of missing values per column, and with boolean indexing they select rows with missing data.
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Visit the following resources to learn more:
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- [@official@Working with missing data](https://pandas.pydata.org/docs/user_guide/missing_data.html)
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- [@official@pandas.isnull](https://pandas.pydata.org/docs/reference/api/pandas.isnull.html)
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- [@official@pandas.isna](https://pandas.pydata.org/docs/reference/api/pandas.isna.html)
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- [@article@Handling Missing Values with Pandas](https://towardsdatascience.com/handling-missing-values-with-pandas-b876bf6f008f/) |