["python","pandas","missing-data"]
Python, Pandas : Return only those rows which have missing values

While working in Pandas in Python... I'm working with a dataset that contains some missing values, and I'd like to return a dataframe which contains only those rows which have missing data. Is there a nice way to do this? (My current method to do this is an inefficient "look to see what index isn't in the dataframe without the missing values, then make a df out of those indices.")
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)]