In [1]: s = pd.Series([1,2,3, np.nan, np.nan]) In [4]: s.isna().sum() # or s.isnull().sum() for older pandas versions Out[4]: 2
#where A is the name of the column #where df is the name of the dataframe count = df["A"].isna().sum()