pandas sum
import pandas as pd data = {'Month': ['Jan ','Feb ','Mar ','Apr ','May ','Jun '], 'Bill Commission': [1500,2200,3500,1800,3000,2800], 'Maria Commission': [3200,4100,2500,3000,4700,3400], 'Jack Commission': [1700,3100,3300,2700,2400,3100] } df = pd.DataFrame(data,columns=['Month','Bill Commission','Maria Commission','Jack Commission']) sum_column = df.sum(axis=0) print (sum_column)
pandas sum
df.at['Total', 'MyColumn'] = df['MyColumn'].sum() print (df) X MyColumn Y Z 0 A 84.0 13.0 69.0 1 B 76.0 77.0 127.0 2 C 28.0 69.0 16.0 3 D 28.0 28.0 31.0 4 E 19.0 20.0 85.0 5 F 84.0 193.0 70.0 Total NaN 319.0 NaN NaN
pandas sum
import pandas as pd data = {'Month': ['Jan ','Feb ','Mar ','Apr ','May ','Jun '], 'Bill Commission': [1500,2200,3500,1800,3000,2800], 'Maria Commission': [3200,4100,2500,3000,4700,3400], 'Jack Commission': [1700,3100,3300,2700,2400,3100] } df = pd.DataFrame(data,columns=['Month','Bill Commission','Maria Commission','Jack Commission']) print (df)
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