Extracting substring in python string using regular expression

Question

I have a pandas column like this:

LOD-NY-EP-ADM
LOD-NY-EC-RUL
LOD-NY-EC-WFL
LOD-NY-LSM-SER
LOD-NY-PM-MOB
LOD-NY-PM-MOB
LOD-NY-RMK
LOD-NY-EC-TIM

I want the output in new column as

EP
EC
EC
LSM
PM
PM
RMK
EC

I tried this:

pattern=df.column[0:10].str.extract(r"\w*-NY-(.*?)-\w*",expand=False)

While it works for everything but it fails to get RMK out and gives NaN since there is nothing after that and it looks for -\w zero or more times. But then that should work if there is nothing after RMK.

Any idea whats going wrong?

We can just use a array of these and use regular expression if pandas syntax is not familiar.

Try ^\w+-NY-(.*?)(?:-\w+)?$

Wiktor Stribiżew
– Wiktor Stribiżew

2018-04-09 23:01:28 +00:00
Commented Apr 9, 2018 at 23:01 — Wiktor Stribiżew
– Wiktor Stribiżew, Commented Apr 9, 2018 at 23:01

Primusa · Accepted Answer · 2018-04-09 22:45:34Z

1

Could you just use regular python? Let df be your dataframe, and row be the name of your row.

series = df.row
new_list =  [i.split('-')[2] for i in series]
new_series = pd.Series(new_list)

answered Apr 9, 2018 at 22:45

Primusa

13.5k3 gold badges36 silver badges56 bronze badges

Sign up to request clarification or add additional context in comments.

1 Comment

Baktaawar Over a year ago

can we try with regular expression? I can also use slice method and count the index there. But wanted to check if regular expression makes sense.

CodeBoy · Accepted Answer · 2018-04-09 23:07:43Z

1

pattern=df.column[0:10].str.extract(r"\w*-NY-(\w+)",expand=False)

See https://regex101.com/r/3uDpam/3

Your regex meant matching strings must have 3 - characters. I changed it so last -XX could occur 0 or 1 times.

UPDATE: Changed so 2nd group is non-capturing (added ?:)

UPDATE: Thanks to Casimir, removed useless group at end of pattern

edited Apr 9, 2018 at 23:07

answered Apr 9, 2018 at 22:55

CodeBoy

3,3102 gold badges15 silver badges17 bronze badges

6 Comments

Baktaawar Over a year ago

something is weird. It works if i just try this regex on a string. But when I am trying on pandas column as above, it is giving even the hyphen along with the extracted string. And still fails for RMK. But that RMK thing works fine if I just use it on a string

CodeBoy Over a year ago

Maybe Pandas is using the last matching group. Try this \w*-NY-(\w+)(?:-\w+)? (so the 2nd group is non-capturing)

Baktaawar Over a year ago

Ok i got the issue. It is also adding a column for third group (extracting the last letters also). I dont want that. I only want the first group to be extracted. How do we do group(0) in pandas extract?

Baktaawar Over a year ago

is there any info on this like how do u know by adding ?: makes it work?

Casimir et Hippolyte Over a year ago

Since it is optional, writing (?:-\w+)? at the end of a pattern is useless. (writing something optional at the end of a pattern is always useless, except if you have to capture something inside this optional part).

|

Collectives™ on Stack Overflow

Extracting substring in python string using regular expression

2 Answers 2

1 Comment

6 Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

2 Answers 2

1 Comment

6 Comments

Your Answer

Sign up or log in

Post as a guest

Related