Reputation: 625
I have the following dataframe sheet1
Id Snack Price
5 Orange 55
7 Apple 53
8 Muskmelon 33
I have the other dataframe replace
Snack Cat
Orange a
Apple b
Muskmelon c
For replacing column value with other column value this is the code
sheet1['snack'] = sheet1['snack'].map(replace.set_index('Snack')['Cat'])
So I will get this after the above code.
Id Snack Price
5 a 55
7 b 53
8 c 33
How do I do the same operation for all the csv sheets present in the folder.
Input: https://www.dropbox.com/sh/1mbgjtrr6t069w1/AADC3ZrRZf33QBil63m1mxz_a?dl=0
Output: Replace Snack column sheet values with replace dataframe cat values for all the files in a folder.
Upvotes: 1
Views: 96
Reputation: 862731
I believe you need glob
for list of files, then loop and create DataFrame, map
and last save back:
import glob
s = replace.set_index('Snack')['Cat']
for file in glob.glob('files/*.csv'):
#df = pd.read_csv(file)
df['Snack'] = df['Snack'].map(s)
df.to_csv(f'{file}', index=False)
Upvotes: 2