I want to delete specific strings with regular expressions from the column Sorte which I don’t want to have in my dataframe file_df with the following code:
file_df = file_df[(file_df.Sorte != 'sonstige') & (file_df.Sorte != 'verauslagte Portokosten')
& (file_df.Sorte != 'erhaltenenzahlung Re vom')
& (file_df.Sorte != 'geleistetenzahlung aus Re-Nr')
& (file_df.Sorte != '^.*Holzkisten geliefert.*$')
& (file_df.Sorte != '^.*Infomaterialktionspakete.*$')
& (file_df.Sorte != '^.*Aloe Vera haben wir nicht im Sortiment.*$')
& (file_df.Sorte != '^.*Anzeigenvorlage Planten ut`norden.*$')]
But somehow when I execute this code these strings still are in the dataset and I can not figure out why. I wanted to chain this expression to not create so many copies.
Update
The code worked for some strings in the dataset, for others not.
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Answer
I figured out another solution that worked out for me derived from the answer at https://stackoverflow.com/a/54410702/14553595, which is basically a combination of your suggestions in the comments:
file_df = file_df.loc[:,~(file_df.columns.str.contains('^.*Fracht.*$', case=False)
| file_df.columns.str.contains('^.*Angebotspaket.*$', case=False)
| file_df.columns.str.contains('^.*Werbe.*$', case=False)
| file_df.columns.str.contains('^.*Vita.Verde.*$', case=False)
| file_df.columns.str.contains('^.*zahlung.*$', case=False)
| file_df.columns.str.contains('^.*Europalette.*$', case=False)
| file_df.columns.str.contains('^.*Angebotspaket.*$', case=False)
| file_df.columns.str.contains('^.*Aufkleber fuer Saeule.*$', case=False)
| file_df.columns.str.contains('^.*Aufsetzer.*$', case=False)
| file_df.columns.str.contains('^.*Ausstellen der Pflanzen in die Beete pauschal.*$', case=False)
| file_df.columns.str.contains('^.*Ausstellungsflaeche.*$', case=False)
| file_df.columns.str.contains('^.*Auswaschen.*$', case=False)
| file_df.columns.str.contains('^.*Bild.*$', case=False)
| file_df.columns.str.contains('^.*etikette.*$', case=False)
)]