Q. Consider the DataFrame df :
Name Sex Position City Age Projects Budget 0 Rabia F Manager Bangalore 30 13 48 1 Evan M Programmer New Delhi 27 17 13 2 Jia F Manager Chennai 32 16 32 3 alit M Manager Mumbai 40 20 21 4 Jaspreet M Programmer Chennai 28 21 17 5 Suji F Programmer Bangalore 32 14 10
Write a program to summaries how much budget is allocated to different Positions, for each City ?
Answer :-
import pandas as pd
import numpy as np
x = { 'Name': ['Rabia', 'Evan', 'Jia', 'alit', 'Jaspreet', 'Suji'],
          'Sex': ['F', 'M', 'F', 'M', 'M', 'F'],
          'Position': ['Manager', 'Programmer', 'Manager', 'Manager',
                       'Programmer', 'Programmer'],\
          'City': ['Bangalore', 'New Delhi', 'Chennai', 'Mumbai',
                   'Chennai', 'Bangalore'],
          'Age': [30, 27, 32, 40, 28, 32],
          'Projects': [13, 17, 16, 20, 21, 14],
          'Budget': [48, 13, 32, 21, 17, 10]}
df = pd.DataFrame (x)
print (df.pivot (index = 'Position', columns = 'City', values= 'Budget'))
Output:-
City Bangalore Chennai Mumbai New Delhi Position Manager 48.0 32.0 21.0 NaN Programmer 10.0 17.0 NaN 13.0 >>>
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