/Python/Count rows with nan pandas

Count rows with nan pandas

#Python, pandas
#Count missing values for each column of the dataframe df

df.isnull().sum()

19

Source: thispointer.com

df[df.isnull().any(axis=1)]

16

Source: datatofish.com

 np.count_nonzero(df.isnull().values)   
 np.count_nonzero(df.isnull())           # also works

2

Source: stackoverflow.com

null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)

1

Source: stackoverflow.com

dfObj.isnull().sum()

0

Source: thispointer.com

# will give count of nan values of every column.
df.isna().sum()

-1

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