How can I convert cumulative values to incremental values to a pandas dataframe with null values? Question: I have a pandas dataframe which has cumulative values like this: import pandas as pd import numpy as np data = {‘Date’:[‘2017-01-27′,’2017-01-28′,’2017-01-29′,’2017-01-30′,’2017-01-31′,’2017-02-01′,’2017-02-02′,’2017-02-03′,’2017-02-04′,’2017-02-05’], ‘Kentucky’:[1,4,5,7,np.NaN,np.NaN,10,np.NaN,12,13], ‘New York’:[np.NaN,2,np.NaN,7,np.NaN,np.NaN,np.NaN,np.NaN,9,np.NaN], ‘California’:[np.NaN,np.NaN,np.NaN,np.NaN,np.NaN,np.NaN,1,np.NaN,2,np.NaN], ‘Maine’:[np.NaN,2,3,7,np.NaN,np.NaN,10,np.NaN,12,13]} df = pd.DataFrame(data) How can I convert the cumulative values to …