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I'm trying to simply remove the '(' and ')' from the beginning and end of the pandas column series. This is my best guess so far but it just returns empty strings with () intact.
postings['location'].replace('[^\(.*\)?]','', regex=True)
The column looks like this: screenshot of jupyter notebook
476
Add df = df. astype(float) after the replace and you've got it. I'd skip inplace and just do df = df. replace('\*', '', regex=True).
Use drop() method to delete rows based on column value in pandas DataFrame, as part of the data cleansing, you would be required to drop rows from the DataFrame when a column value matches with a static value or on another column value.
Another option you have when it comes to removing unwanted parts from strings in pandas, is pandas. Series. str. extract() method that is used to extract capture groups in the regex pat as columns in a DataFrame.
Using 'str. replace() , we can replace a specific character. If we want to remove that specific character, replace that character with an empty string. The str. replace() method will replace all occurrences of the specific character mentioned.
Working example
df = pd.DataFrame(dict(location=['(hello)']))
print(df)
location
0 (hello)
@Psidom's Solutionstr.strip
df.location.str.strip('()')
0 hello
Name: location, dtype: object
Option 2str.extract
df.location.str.extract('\((.*)\)', expand=False)
0 hello
Name: location, dtype: object
Option 3str.replace
df.location.str.replace('\(|\)', '')
0 hello
Name: location, dtype: object
Option 4replace
df.location.replace('\(|\)', '', regex=True)
0 hello
Name: location, dtype: object
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