import pandas as pd


def readCsv(filename):
    table = pd.read_table(filename, sep=',', chunksize=100)
    i = 0
    for df in table:
        print(df)
        df.to_csv('/Users/macbookpro/Documents/crimes-in-chicago/crime' +
            str(i) + '.csv')
        i += 1


readCsv(
    '/Users/macbookpro/Documents/crimes-in-chicago/Chicago_Crimes_2012_to_2017.csv'
    )

e75bccbcb1d3159008eb9619f27254172c271e42
<mask token>

<mask token>


def readCsv(filename):
    table = pd.read_table(filename, sep=',', chunksize=100)
    i = 0
    for df in table:
        print(df)
        df.to_csv('/Users/macbookpro/Documents/crimes-in-chicago/crime' +
            str(i) + '.csv')
        i += 1


<mask token>

<mask token>


def readCsv(filename):
    table = pd.read_table(filename, sep=',', chunksize=100)
    i = 0
    for df in table:
        print(df)
        df.to_csv('/Users/macbookpro/Documents/crimes-in-chicago/crime' +
            str(i) + '.csv')
        i += 1


readCsv(
    '/Users/macbookpro/Documents/crimes-in-chicago/Chicago_Crimes_2012_to_2017.csv'
    )

import pandas as pd


def readCsv(filename):
    table = pd.read_table(filename, sep=',', chunksize=100)
    i = 0
    for df in table:
        print(df)
        df.to_csv('/Users/macbookpro/Documents/crimes-in-chicago/crime' +
            str(i) + '.csv')
        i += 1


readCsv(
    '/Users/macbookpro/Documents/crimes-in-chicago/Chicago_Crimes_2012_to_2017.csv'
    )
