Import multiple csv files into pandas and concatenate into one DataFrame

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I would like to read several csv files from a directory into pandas and concatenate them into one big DataFrame. I have not been able to figure it out though. Here is what I have so far:

import glob
import pandas as pd

# get data file names
path =r"C:DRODCL_rawdata_files"
filenames = glob.glob(path + "/*.csv")

dfs = []
for filename in filenames:
    dfs.append(pd.read_csv(filename))

# Concatenate all data into one DataFrame
big_frame = pd.concat(dfs, ignore_index=True)

I guess I need some help within the for loop???

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We hope this article has helped you to resolve the problem. Apart from Import multiple csv files into pandas and concatenate into one DataFrame, check other code Python module-related topics.

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Jan OConnell

Texas | 2023-04-01

Maybe there are another answers? What Import multiple csv files into pandas and concatenate into one DataFrame exactly means?. I just hope that will not emerge anymore

Ken Danburry

London | 2023-04-01

Maybe there are another answers? What Import multiple csv files into pandas and concatenate into one DataFrame exactly means?. Checked yesterday, it works!

Carlo Schteiner

Vigrinia | 2023-04-01

File handling is always a bit confusing 😭 Import multiple csv files into pandas and concatenate into one DataFrame is not the only problem I encountered. Will get back tomorrow with feedback

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