import pandas
import csv

df = pandas.read_csv('business_original.csv')
header = ["business_id", "full_address", "hours.Monday.open", "hours.Monday.close", "hours.Tuesday.open", "hours.Tuesday.close", "hours.Wednesday.open", "hours.Wednesday.close", "hours.Thursday.open", "hours.Thursday.close", "hours.Friday.open", "hours.Friday.close", "hours.Saturday.open", "hours.Saturday.close", "hours.Sunday.open", "hours.Sunday.close", "open", "city", "review_count", "name", "longitude", "state", "stars", "latitude"]
df.to_csv('businessTable.csv', colums = header)


3c00f5893c900cdc0f3782a422f4fa2a5fe41e56
<mask token>

<mask token>
df.to_csv('businessTable.csv', colums=header)

<mask token>
df = pandas.read_csv('business_original.csv')
header = ['business_id', 'full_address', 'hours.Monday.open',
    'hours.Monday.close', 'hours.Tuesday.open', 'hours.Tuesday.close',
    'hours.Wednesday.open', 'hours.Wednesday.close', 'hours.Thursday.open',
    'hours.Thursday.close', 'hours.Friday.open', 'hours.Friday.close',
    'hours.Saturday.open', 'hours.Saturday.close', 'hours.Sunday.open',
    'hours.Sunday.close', 'open', 'city', 'review_count', 'name',
    'longitude', 'state', 'stars', 'latitude']
df.to_csv('businessTable.csv', colums=header)

import pandas
import csv
df = pandas.read_csv('business_original.csv')
header = ['business_id', 'full_address', 'hours.Monday.open',
    'hours.Monday.close', 'hours.Tuesday.open', 'hours.Tuesday.close',
    'hours.Wednesday.open', 'hours.Wednesday.close', 'hours.Thursday.open',
    'hours.Thursday.close', 'hours.Friday.open', 'hours.Friday.close',
    'hours.Saturday.open', 'hours.Saturday.close', 'hours.Sunday.open',
    'hours.Sunday.close', 'open', 'city', 'review_count', 'name',
    'longitude', 'state', 'stars', 'latitude']
df.to_csv('businessTable.csv', colums=header)

import pandas
import csv

df = pandas.read_csv('business_original.csv')
header = ["business_id", "full_address", "hours.Monday.open", "hours.Monday.close", "hours.Tuesday.open", "hours.Tuesday.close", "hours.Wednesday.open", "hours.Wednesday.close", "hours.Thursday.open", "hours.Thursday.close", "hours.Friday.open", "hours.Friday.close", "hours.Saturday.open", "hours.Saturday.close", "hours.Sunday.open", "hours.Sunday.close", "open", "city", "review_count", "name", "longitude", "state", "stars", "latitude"]
df.to_csv('businessTable.csv', colums = header)

