'int' object has no attribute 'replace' error in python3.x - pandas

Question

I don't get why this error occurs. Coz from my point of view the three columns 'WWBO','IBO','DBO' has exact same structure but when I apply 'replace' only WWBO works. Does it have sth with fillna?
Need your help!
import requests
from bs4 import BeautifulSoup as bs
#Read url
URL = "https://www.the-numbers.com/box-office-records/worldwide/all- movies/cumulative/released-in-2019"
data = requests.get(URL).text
#parse url
soup = bs(data, "html.parser")
#find the tables you want
table = soup.findAll("table")[1:]
#read it into pandas
df = pd.read_html(str(table))
#concat both the tables
df = pd.concat([df[0],df[1]])
df = df.rename(columns={'Rank':'Rank',
'Movie':'Title',
'Worldwide Box Office':'WWBO',
'Domestic Box Office':'DBO',
'International Box Office':'IBO',
'DomesticShare':'Share'})
#drop columns
market = df.drop(columns=['Rank','Share'])
market = market.fillna(0)
#replace $ -> ''
market['WWBO'] = market['WWBO'].map(lambda s: s.replace('$',''))
market['IBO'] = market['IBO'].map(lambda s: s.replace('$',''))
market['DBO'] = market['DBO'].map(lambda s: s.replace('$',''))
market
Error is:::
AttributeError: 'int' object has no attribute 'replace'

Answer 1

it is Pandas bugs auto casting '0' values to int, to solutions for this either eliminate the 0 value or cast the columns to string as below
import pandas as pd
import requests
from bs4 import BeautifulSoup as bs
#Read url
URL = "https://www.the-numbers.com/box-office-records/worldwide/all-movies/cumulative/released-in-2019"
data = requests.get(URL).text
#parse url
soup = bs(data, "html.parser")
#find the tables you want
table = soup.findAll("table")[1:]
#read it into pandas
df = pd.read_html(str(table))
#concat both the tables
df = pd.concat([df[0],df[1]])
df = df.rename(columns={'Rank':'Rank',
'Movie':'Title',
'Worldwide Box Office':'WWBO',
'Domestic Box Office':'DBO',
'International Box Office':'IBO',
'DomesticShare':'Share'})
#drop columns
market = df.drop(columns=['Rank','Share'])
market = market.fillna(0)
#replace $ -> ''
market['WWBO'] = market['WWBO'].map(lambda s: s.replace('$',''))
market['IBO']=market['IBO'].astype(str)
market['IBO'] = market['IBO'].map(lambda s: s.replace('$',''))
market['DBO']=market['DBO'].astype(str)
market['DBO'] = market['DBO'].map(lambda s: s.replace('$',''))
>> market[['WWBO','IBO','DBO']]
WWBO IBO DBO
0 2,622,240,021 1,842,814,023 779,425,998
1 1,121,905,659 696,535,598 425,370,061
2 692,163,684 692,163,684 0
3 518,883,574 358,491,094 160,392,480
4 402,976,036 317,265,826 85,710,210
5 358,234,705 220,034,625 138,200,080
6 342,904,508 231,276,537 111,627,971
7 326,150,303 326,150,303 0
8 293,766,097 192,548,368 101,217,729
9 255,832,826 255,832,826 0
10 253,940,650 79,203,380 174,737,270
11 245,303,505 134,268,500 111,035,005
12 190,454,964 84,648,456 105,806,508
13 155,313,390 98,312,634 57,000,756

Answer 2

clearly one or more of these fields(market['WWBO'], market['IBO'], market['DBO']) have integer values and you are trying to perform string operation i.e. replace over it that's it is throwing error that
AttributeError: 'int' object has no attribute 'replace'
could you first print those values and see what are they or if you have many then its better to perform type check first like
if market['WWBO'].dtype == object:
market['WWBO'].map(lambda s: s.replace('$',''))
else:
pass
let me know if this works for you or not