Reputation: 653
I am working with lots of csv files and need to add column. I tried glob, for example:
import glob
filenames = sorted(glob.glob('./DATA1/*2018*.csv'))
filenames = filenames[0:10]
import numpy as np
import pandas as pd
for f in filenames:
df = pd.read_csv(f, header=None, index_col=None)
df.columns = ['Date','Signal','Data','Code']
#this is what I should add to all csv files
df["ID"] = df["Data"].str.slice(0,2)
and I need a way to save the file back to csv (not concatenated) with different name such as "file01edited.csv" after I add the column to each csv file.
Upvotes: 2
Views: 698
Reputation: 863156
Use to_csv
with f-string
s for change file names:
for f in filenames:
df = pd.read_csv(f, names=['Date','Signal','Data','Code'], index_col=None)
#this is what I should add to all csv files
df["ID"] = df["Data"].str.slice(0,2)
#python 3.6+
df.to_csv(f'{f[:-4]}edited.csv', index=False)
#python bellow 3.6
#df.to_csv('{}edited.csv'.format(f[:-4]), index=False)
Upvotes: 1