cumulative-frequency

Pandas cumulative count across different groups Question: I’ve got the following DataFrame : df = pd.DataFrame({‘A’: [‘Nadal’, ‘Federer’, ‘Djokovic’, ‘Nadal’, ‘Nadal’, ‘Murray’, ‘Nadal’], ‘B’: [‘Djokovic’, ‘Nadal’, ‘Murray’, ‘Murray’, ‘Djokovic’, ‘Federer’, ‘Murray’], ‘Winner’: [‘Nadal’, ‘Federer’, ‘Djokovic’, ‘Murray’, ‘Nadal’, ‘Federer’, ‘Murray’], ‘Loser’: [‘Djokovic’, ‘Nadal’, ‘Murray’, ‘Nadal’, ‘Djokovic’, ‘Murray’, ‘Nadal’]}) And I’d like to create new features based …

Calculate cumulative count of a pandas dataframe column Question: I have created this pandas dataframe: import numpy as np import pandas as pd ds = {"col1":[1,2,3,2,2,2,3,4,1,0,0,0,0,0,1,2,3,5]} df = pd.DataFrame(data=ds) which looks like this: print(df) col1 0 1 1 2 2 3 3 2 4 2 5 2 6 3 7 4 8 1 9 0 …