使用python替换字符串中的子字符串

Question

I have csv data

url
vk.com/feed
vk.com/friends
vk.com/kobrinsky
vk.com/exclusive_muzic
vk.com/o_gordievskaya
vk.com/exclusive_muzic
vk.com/o_gordievskaya

And I need replace some substring.

[u'o_gordievskaya', u'pavel__pechenkin', u'tima555102', u'bl2225554445']

to

[23183634, 86313977, 27313686, 3935697]

I try

users = pd.read_excel('users.xlsx')
data = pd.read_csv('get_id.csv', error_bad_lines=False)
scrname = users['scrname']
id_scr = users['id']
urls = data['url']
for url in urls:
    for scr in scrname:
        if scr in url:
            url.replace(scr, id_scr)

I add column scrname and id to lists, I think it would be easier, but it doesn't help me

Answer 1

You are using id_scr in the replace but you need to use the corresponding element

index = url.index(scr)    
url.replace(scr, id_scr[index])

or shorter :

url.replace(scr, id_scr[url.index(scr)])

Answer 2

It doesn't work because in for url in urls: url is a copy of your data.

But since you use pandas, you can simply use replace

sub = {'o_gordievskaya' :23183634, 'pavel__pechenkin' : 86313977, ...}
data.replace(sub)