Bin values based on ranges with pandas [duplicate]
In order to bucket your series, you should use the pd.cut() function, like this:
df['bin'] = pd.cut(df['1'], [0, 50, 100,200]) 0 1 file bin0 person1 24 age.csv (0, 50]1 person2 17 age.csv (0, 50]2 person3 98 age.csv (50, 100]3 person4 6 age.csv (0, 50]4 person2 166 Height.csv (100, 200]5 person3 125 Height.csv (100, 200]6 person5 172 Height.csv (100, 200]If you want to name the bins yourself, you can use the labels= argument, like this:
df['bin'] = pd.cut(df['1'], [0, 50, 100,200], labels=['0-50', '50-100', '100-200']) 0 1 file bin0 person1 24 age.csv 0-501 person2 17 age.csv 0-502 person3 98 age.csv 50-1003 person4 6 age.csv 0-504 person2 166 Height.csv 100-2005 person3 125 Height.csv 100-2006 person5 172 Height.csv 100-200