I have a directory with several csvs.
files = glob('C:/Users/jj/Desktop/Bulk_Wav/*.csv')
Each csv has the same below columns. Reprex below-
yes no maybe ofcourse
1 2 3 4
I want my script to iterate through all csvs in the folder and delete the columns maybe and ofcourse.
If glob
provides you with file paths, you can do the following with pandas
:
import pandas as pd
files = glob('C:/Users/jj/Desktop/Bulk_Wav/*.csv')
drop = ['maybe ', 'ofcourse']
for file in files:
df = pd.read_csv(file)
for col in drop:
if col in df:
df = df.drop(col, axis=1)
df.to_csv(file)
Alternatively if you want a cleaner way to not get KeyError
s from drop you can do this:
import pandas as pd
files = glob('C:/Users/jj/Desktop/Bulk_Wav/*.csv')
drop = ['maybe ', 'ofcourse']
for file in files:
df = pd.read_csv(file)
df = df.drop([c for c in drop if c in df], axis=1)
df.to_csv(file)