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How to read all CSV files in a folder in Pandas?
  • Last Updated : 21 Apr, 2021

In this article, we will see how to read all CSV files in a folder into single Pandas dataframe. The task can be performed by first finding all CSV files in a particular folder using glob() method and then reading the file by using pandas.read_csv() method and then displaying the content.

Approach:

  1. Import necessary python packages like pandas, glob, and os.
  2. Use glob python package to retrieve files/pathnames matching a specified pattern i.e. ‘.csv’
  3. Loop over the list of csv files, read that file using pandas.read_csv().
  4. Convert each csv file into a dataframe.
  5. Display its location, name, and content.

Below is the implementation.

Python3




# import necessary libraries
import pandas as pd
import os
import glob
  
  
# use glob to get all the csv files 
# in the folder
path = os.getcwd()
csv_files = glob.glob(os.path.join(path, "*.csv"))
  
  
# loop over the list of csv files
for f in csv_files:
      
    # read the csv file
    df = pd.read_csv(f)
      
    # print the location and filename
    print('Location:', f)
    print('File Name:', f.split("\\")[-1])
      
    # print the content
    print('Content:')
    display(df)
    print()

Output:



Note: The program reads all CSV files in the folder in which the program itself is present.

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