select rows which have nan values python
df[df['column name'].isna()]select rows which have nan values python
df[df['column name'].isna()]find position of nan pandas
# position of NaN values in terms of index
df.loc[pandas.isna(df["b"]), :].index
# position of NaN values in terms of rows that cotnain NaN
df.loc[pandas.isna(df["b"]), :]Copyright © 2021 Codeinu
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