I have csv file and I need remove strings, that contains some words. There are 117 words.

I try

for line in df:
    if '1x1523.com' in line:
        df = df.replace(line, '')

but to 117 words it works too slowly and after it I create pivot_table and words, that I try to delete, contains in columns.

How Can I do it faster and remove lines so as that words are not be in columns?

I have csv file

ID,"address","used_at","active_seconds","pageviews"
0a1d796327284ebb443f71d85cb37db9,"vk.com",2016-01-29 22:10:52,3804,115
0a1d796327284ebb443f71d85cb37db9,"2gis.ru",2016-01-29 22:48:52,214,24
0a1d796327284ebb443f71d85cb37db9,"yandex.ru",2016-01-29 22:14:30,4,2
0a1d796327284ebb443f71d85cb37db9,"worldoftanks.ru",2016-01-29 22:10:30,41,2

and I need remove strings, that contains some words. There are 117 words.

I try

for line in df:
    if 'yandex.ru' in line:
        df = df.replace(line, '')

but to 117 words it works too slowly and after it I create pivot_table and words, that I try to delete, contains in columns.

             aaa                         10ruslake.ru  youtube.ru 1tv.ru  24open.ru
0   0025977ab2998580d4559af34cc66a4e             0        0       34      43
1   00c651e018cbcc8fe7aa57492445c7a2             230      0       0       23
2   0120bc30e78ba5582617a9f3d6dfd8ca             12       0       0       0
3   01249e90ed8160ddae82d2190449b773             25       0       13      25

That columns contain only 0

How Can I do it faster and remove lines so as that words are not be in columns?