Having trouble splitting text due to extra commas
0
Here are a few examples:
Input
Col
"temp, temp2"
"name, inc., name2"
Output
Col_upd
["temp","temp2]
["name, inc.", "name2]
Right now, I'm using:
Col_upd.apply(lambda x: [i.lower().strip() for i in x.split(',')])
This fails in row 2 in the above example. I'm not sure what alternatives I have in this situation aside from your a dictionary.
Any suggestions would be really helpful.
python string split
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
|
show 1 more comment
0
Here are a few examples:
Input
Col
"temp, temp2"
"name, inc., name2"
Output
Col_upd
["temp","temp2]
["name, inc.", "name2]
Right now, I'm using:
Col_upd.apply(lambda x: [i.lower().strip() for i in x.split(',')])
This fails in row 2 in the above example. I'm not sure what alternatives I have in this situation aside from your a dictionary.
Any suggestions would be really helpful.
python string split
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
If you know that all of your problematic values are the same, you can start with something along the lines of"name, inc.".replace(", inc."," inc.")before you do the split, which would ideally use pandas built-in str.split()
– G. Anderson
Nov 12 '18 at 22:29
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33
|
show 1 more comment
0
0
0
Here are a few examples:
Input
Col
"temp, temp2"
"name, inc., name2"
Output
Col_upd
["temp","temp2]
["name, inc.", "name2]
Right now, I'm using:
Col_upd.apply(lambda x: [i.lower().strip() for i in x.split(',')])
This fails in row 2 in the above example. I'm not sure what alternatives I have in this situation aside from your a dictionary.
Any suggestions would be really helpful.
python string split
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
Here are a few examples:
Input
Col
"temp, temp2"
"name, inc., name2"
Output
Col_upd
["temp","temp2]
["name, inc.", "name2]
Right now, I'm using:
Col_upd.apply(lambda x: [i.lower().strip() for i in x.split(',')])
This fails in row 2 in the above example. I'm not sure what alternatives I have in this situation aside from your a dictionary.
Any suggestions would be really helpful.
python string split
python string split
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
edited Nov 12 '18 at 22:27
madsthaks
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
asked Nov 12 '18 at 22:15
madsthaksmadsthaks
6372620
6372620
What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
If you know that all of your problematic values are the same, you can start with something along the lines of"name, inc.".replace(", inc."," inc.")before you do the split, which would ideally use pandas built-in str.split()
– G. Anderson
Nov 12 '18 at 22:29
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33
|
show 1 more comment
What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
If you know that all of your problematic values are the same, you can start with something along the lines of"name, inc.".replace(", inc."," inc.")before you do the split, which would ideally use pandas built-in str.split()
– G. Anderson
Nov 12 '18 at 22:29
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33
What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
If you know that all of your problematic values are the same, you can start with something along the lines of
"name, inc.".replace(", inc."," inc.") before you do the split, which would ideally use pandas built-in str.split()– G. Anderson
Nov 12 '18 at 22:29
If you know that all of your problematic values are the same, you can start with something along the lines of
"name, inc.".replace(", inc."," inc.") before you do the split, which would ideally use pandas built-in str.split()– G. Anderson
Nov 12 '18 at 22:29
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33
|
show 1 more comment
1 Answer
1
active
oldest
votes
3
If we can assume that there's no extra commas in the second part, you can try to use rsplit().
Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', 1)])
str.rsplit() lets you specify how many times to split.
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could bennumber of splits
– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, letn = the number of parts, then we can just doCol_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])
– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
3
If we can assume that there's no extra commas in the second part, you can try to use rsplit().
Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', 1)])
str.rsplit() lets you specify how many times to split.
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could bennumber of splits
– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, letn = the number of parts, then we can just doCol_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])
– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
add a comment |
3
If we can assume that there's no extra commas in the second part, you can try to use rsplit().
Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', 1)])
str.rsplit() lets you specify how many times to split.
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could bennumber of splits
– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, letn = the number of parts, then we can just doCol_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])
– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
add a comment |
3
3
3
If we can assume that there's no extra commas in the second part, you can try to use rsplit().
Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', 1)])
str.rsplit() lets you specify how many times to split.
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
If we can assume that there's no extra commas in the second part, you can try to use rsplit().
Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', 1)])
str.rsplit() lets you specify how many times to split.
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
answered Nov 12 '18 at 22:42
Eric WangEric Wang
33518
33518
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could bennumber of splits
– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, letn = the number of parts, then we can just doCol_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])
– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
add a comment |
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could bennumber of splits
– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, letn = the number of parts, then we can just doCol_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])
– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could be
n number of splits– madsthaks
Nov 13 '18 at 1:48
So what if there are more than 2 parts. This is an interesting solution but what would I do when there could be
n number of splits– madsthaks
Nov 13 '18 at 1:48
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, let
n = the number of parts, then we can just do Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])– Eric Wang
Nov 13 '18 at 1:54
@madsthaks Can you be more specific? Do the additional parts have extra commas? If we can assume that only the first part has extra commas, let
n = the number of parts, then we can just do Col_upd.apply(lambda x: [i.lower().strip() for i in x.rsplit(',', n-1)])– Eric Wang
Nov 13 '18 at 1:54
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
If we can't assume only the first part has extra commas, then you need to provide some more information about at what condition an extra comma will be added.
– Eric Wang
Nov 13 '18 at 1:56
add a comment |
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What's the expected output?
– Perdi Estaquel
Nov 12 '18 at 22:25
Updated version is the expected output. Will make that more clear.
– madsthaks
Nov 12 '18 at 22:27
If you know that all of your problematic values are the same, you can start with something along the lines of
"name, inc.".replace(", inc."," inc.")before you do the split, which would ideally use pandas built-in str.split()– G. Anderson
Nov 12 '18 at 22:29
What if I don't? Looks like there are a wide variety of instances where this occurs.
– madsthaks
Nov 12 '18 at 22:32
@madsthaks Are the extra commas always in the first part? And do you always have only two parts?
– Matthias Ossadnik
Nov 12 '18 at 22:33