Python – How to split a Pandas value and only get the value between the slashs
Question:
Example:
I the df['column'] has a bunch of values similar to: F/4500/O or G/2/P
The length of the digits range from 1 to 4 similar to the examples given above.
How can I transform that column to only keep 1449 as an integer?
I tried the split method but I can’t get it right.
Thank you!
Answers:
How’s about:
df['column'].map(lambda x: int(x.split('/')[1]))
You could extract the value and convert to_numeric:
df['number'] = pd.to_numeric(df['column'].str.extract('/(d+)/', expand=False))
Example:
column number
0 F/4500/O 4500
1 G/2/P 2
Example:
I the df['column'] has a bunch of values similar to: F/4500/O or G/2/P
The length of the digits range from 1 to 4 similar to the examples given above.
How can I transform that column to only keep 1449 as an integer?
I tried the split method but I can’t get it right.
Thank you!
How’s about:
df['column'].map(lambda x: int(x.split('/')[1]))
You could extract the value and convert to_numeric:
df['number'] = pd.to_numeric(df['column'].str.extract('/(d+)/', expand=False))
Example:
column number
0 F/4500/O 4500
1 G/2/P 2