show rows with a null value pandas
df1 = df[df.isna().any(axis=1)]show rows with a null value pandas
df1 = df[df.isna().any(axis=1)]check if any value is null in pandas dataframe
df.isnull().values.any()python count null values in dataframe
# Count total missing values in a dataframe
df.isnull().sum().sum()
# Gives a integer valueknowing the sum of null value is pandas dataframe
note:df is your pandas dataframe
print(df.isnull().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()
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