village data on illiterates,no of phones,phones usage

import matplotlib.pyplot as pt import pandas as pd data1=pd.read_csv(r"C:\Users\siris\Documents\file1.csv") fig=pt.figure() fig.patch.set_facecolor("pink") graph2=fig.add_subplot(1,2,1) x=len(data1[(data1.Numberofilliterates<=1)& (data1.usemobile<=1) & data1.NumberofPhones<=1]) x3=len(data1[(data1.Numberofilliterates>1)& (data1.usemobile<=1) & data1.NumberofPhones>1]) x1=len(data1[(data1.Numberofilliterates<=1) & (data1.usemobile>2)]) x2=len(data1[(data1.Numberofilliterates>1)]) graph2.axis('equal') graph2.pie([x,x3,x1,x2],colors=['blue','yellow','red','green'],labels=[ 'Illiterates(<=1),no of phones(<=1) and using mobile(<=1)', 'Illiterates(>1),no of phones(<=1) and using mobile(>1)', 'Illiterates(<=1),no of phones(>2)','Illiterates(>11)']) pt.show()