I have a pd.Series looks like as follows
O some texts...final exam marks:50 next level:10 1 some texts....final exam marks he has got:54 next level:15 2 some texts...final marks ...some texts: 45 next best level:20
I want extract those numbers 50,54,45 from that Series. Please note that there are multiple numbers in the texts of each row. I have tried regex, but instead of giving only those specific numbers, it is picking up all the numbers in each row. Essentially I want the numbers right after the word 'marks'. Any help would be appreciated.
ps I have updated the problem now. I tried the solutions given here. In facts I tried with
pd.Series.str.findall('?<=specific text *(\\d{2})')
But getting and empty list. The representation of the example here is very much similar to the actual problem, hence I edited the post.
Many many thanks in advance.
Try
s.str.extract('.*marks:\s?(\d+)', expand = False)
0 50
1 54
2 45
With the update:
s.str.extract('.*marks.*?(\d+)', expand = False)
This regex considers the fact that there may or may not be a character after marks
You get
0 50
1 54
2 45
You need look behind syntax (?<=) , which asserts a desired pattern is preceded by another pattern, (?<=marks:) *([0-9]+)
extract digits after the word marks: followed by optional spaces:
s
#0 some texts...final exam marks:50 next lev...
#1 some texts....final exam marks:54 next le...
#2 some texts...final marks: 45 next best le...
#Name: 1, dtype: object
s.str.extract("(?<=marks:) *([0-9]+)", expand=False)
#0 50
#1 54
#2 45
#Name: 1, dtype: object
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.