count missing values by column in pandas
df.isna().sum()find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()to detect if a data frame has nan values
df.isnull().sum().sum()
5to detect if a data frame has nan values
> df.isnull().any().any()
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