dataframe find nan rows
df[df.isnull().any(axis=1)]dataframe find nan rows
df[df.isnull().any(axis=1)]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"]), :]get indexes where value is na pandas
rows_with_nan = [index for index, row in df.iterrows() if row.isnull().any()]Copyright © 2021 Codeinu
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