Excluding specific data in a column (csv-file) with regular expression
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community,
I have a csv file with two columns (a, b) and one of the columns (b) has quite a long string in each row (e.g. System1. Help2. I need info. Please. Interesting_data). This string I want to reduce, namely to only give me the Interesting_data. For a regular expression you need a pattern and in my case I counted whitespaces and space characters (only full stops) until the data comes I'm interested in. There are 5 full stops and 3 whitespaces, inbetween are only words and numericals.
This is my code:
import pandas as pd
import numpy as np
import re
df = pd.read_csv('file.csv', sep=";",decimal=",")
result = df.b.re.findall(r's{8}.(w+)')
print(result)
Unfortunately I get this Error-Message:
AttributeError: 'Series' object has no attribute 're'
My research on the internet didn't really help.
Is my regular expression completely wrong or is it something else?
And I am using Python 3.7.0 on Jupyter Notebook
Thank you!
python regex python-3.x csv
asked Nov 21 at 16:17
Lis011235
63
|
show 3 more comments
up vote
0
down vote
favorite
community,
I have a csv file with two columns (a, b) and one of the columns (b) has quite a long string in each row (e.g. System1. Help2. I need info. Please. Interesting_data). This string I want to reduce, namely to only give me the Interesting_data. For a regular expression you need a pattern and in my case I counted whitespaces and space characters (only full stops) until the data comes I'm interested in. There are 5 full stops and 3 whitespaces, inbetween are only words and numericals.
This is my code:
import pandas as pd
import numpy as np
import re
df = pd.read_csv('file.csv', sep=";",decimal=",")
result = df.b.re.findall(r's{8}.(w+)')
print(result)
Unfortunately I get this Error-Message:
AttributeError: 'Series' object has no attribute 're'
My research on the internet didn't really help.
Is my regular expression completely wrong or is it something else?
And I am using Python 3.7.0 on Jupyter Notebook
Thank you!
python regex python-3.x csv
asked Nov 21 at 16:17
Lis011235
63
I think your problem is that you want to use the returned value of the regex directly with dot notation. Trydf.b[re.findall(r's{8}.(w+)')instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.
– Iulian
Nov 21 at 16:30
Usedf['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}')to extract a substring from 5 dots till 3 whitespaces from each cell.
– Wiktor Stribiżew
Nov 21 at 16:33
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
1
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
1
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56
|
show 3 more comments
up vote
0
down vote
favorite
up vote
0
down vote
favorite
community,
I have a csv file with two columns (a, b) and one of the columns (b) has quite a long string in each row (e.g. System1. Help2. I need info. Please. Interesting_data). This string I want to reduce, namely to only give me the Interesting_data. For a regular expression you need a pattern and in my case I counted whitespaces and space characters (only full stops) until the data comes I'm interested in. There are 5 full stops and 3 whitespaces, inbetween are only words and numericals.
This is my code:
import pandas as pd
import numpy as np
import re
df = pd.read_csv('file.csv', sep=";",decimal=",")
result = df.b.re.findall(r's{8}.(w+)')
print(result)
Unfortunately I get this Error-Message:
AttributeError: 'Series' object has no attribute 're'
My research on the internet didn't really help.
Is my regular expression completely wrong or is it something else?
And I am using Python 3.7.0 on Jupyter Notebook
Thank you!
python regex python-3.x csv
asked Nov 21 at 16:17
Lis011235
63
community,
I have a csv file with two columns (a, b) and one of the columns (b) has quite a long string in each row (e.g. System1. Help2. I need info. Please. Interesting_data). This string I want to reduce, namely to only give me the Interesting_data. For a regular expression you need a pattern and in my case I counted whitespaces and space characters (only full stops) until the data comes I'm interested in. There are 5 full stops and 3 whitespaces, inbetween are only words and numericals.
This is my code:
import pandas as pd
import numpy as np
import re
df = pd.read_csv('file.csv', sep=";",decimal=",")
result = df.b.re.findall(r's{8}.(w+)')
print(result)
Unfortunately I get this Error-Message:
AttributeError: 'Series' object has no attribute 're'
My research on the internet didn't really help.
Is my regular expression completely wrong or is it something else?
And I am using Python 3.7.0 on Jupyter Notebook
Thank you!
python regex python-3.x csv
python regex python-3.x csv
asked Nov 21 at 16:17
Lis011235
63
asked Nov 21 at 16:17
Lis011235
63
asked Nov 21 at 16:17
Lis011235
63
asked Nov 21 at 16:17
Lis011235
63
asked Nov 21 at 16:17
Lis011235
63
63
I think your problem is that you want to use the returned value of the regex directly with dot notation. Trydf.b[re.findall(r's{8}.(w+)')instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.
– Iulian
Nov 21 at 16:30
Usedf['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}')to extract a substring from 5 dots till 3 whitespaces from each cell.
– Wiktor Stribiżew
Nov 21 at 16:33
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
1
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
1
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56
|
show 3 more comments
I think your problem is that you want to use the returned value of the regex directly with dot notation. Trydf.b[re.findall(r's{8}.(w+)')instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.
– Iulian
Nov 21 at 16:30
Usedf['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}')to extract a substring from 5 dots till 3 whitespaces from each cell.
– Wiktor Stribiżew
Nov 21 at 16:33
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
1
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
1
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56
I think your problem is that you want to use the returned value of the regex directly with dot notation. Try
df.b[re.findall(r's{8}.(w+)') instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.– Iulian
Nov 21 at 16:30
I think your problem is that you want to use the returned value of the regex directly with dot notation. Try
df.b[re.findall(r's{8}.(w+)') instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.– Iulian
Nov 21 at 16:30
Use
df['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}') to extract a substring from 5 dots till 3 whitespaces from each cell.– Wiktor Stribiżew
Nov 21 at 16:33
Use
df['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}') to extract a substring from 5 dots till 3 whitespaces from each cell.– Wiktor Stribiżew
Nov 21 at 16:33
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
1
1
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
1
1
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56
|
show 3 more comments
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I think your problem is that you want to use the returned value of the regex directly with dot notation. Try
df.b[re.findall(r's{8}.(w+)')instead, and be careful with findall method because it returns all matches in list of strings form. You need to be sure that in your list will be always one element.– Iulian
Nov 21 at 16:30
Use
df['newcol']= df['b'].str.extract(r'.{5}(.*?)s{3}')to extract a substring from 5 dots till 3 whitespaces from each cell.– Wiktor Stribiżew
Nov 21 at 16:33
@Iulian isn't there a closing ` ]` missing in your code?
– Lis011235
Nov 22 at 8:51
1
Share an MCVE, code/file to reproduce the issue.
– Wiktor Stribiżew
Nov 22 at 8:56
1
It would help if you edit your question to give some worked examples showing what you are trying to acheive.
– Martin Evans
Nov 22 at 10:56