dataframe find nan rows
df[df.isnull().any(axis=1)]dataframe find nan rows
df[df.isnull().any(axis=1)]select rows which have nan values python
df[df['column name'].isna()]select rows with nan pandas
df[df['Col2'].isnull()]pandas where retuning NaN
# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']Copyright © 2021 Codeinu
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