Python, Pandas : Return only those rows which have missing values

df.isnull().any(axis = 1).sum()

this gives you the total number of rows with at least one missing data

You can use any axis=1 to check for least one True per row, then filter with boolean indexing:

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