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Read multiple CSV files into separate DataFrames in Python

  • Last Updated : 27 Sep, 2021

In this article, we will see how to read multiple CSV files into separate DataFrames. For reading only one data frame we can use pd.read_csv() function of pandas. It takes a path as input and returns data frame like 

df = pd.read_csv("file path")

Let’s have a look at how it works

Python3




# import module
import pandas as pd
 
# read dataset
df = pd.read_csv("./csv/crime.csv")

 

 



Here, crime.csv is the file in the current folder. CSV is the folder that contains the crime.csv file and CSV Reader.ipynb is the file containing the above code.

 

Output:

 

 

It is the data frame that is read from the above function. One more file is present in the folder named – username.csv. To read them both and store them in different data frames use the below code

 



Python3




# import module
import pandas as pd
 
# assign dataset names
list_of_names = ['crime','username']
 
# create empty list
dataframes_list = []
 
# append datasets into teh list
for i in range(len(list_of_names)):
    temp_df = pd.read_csv("./csv/"+list_of_names[i]+".csv")
    dataframes_list.append(temp_df)

dataframes_list contains all the data frames separately.

dataframes_list[0]:

dataframes_list[1]:

Here is another approach, now suppose that there are many files, and we don’t know the names and number then, use the below code

Python3




# import modules
import os
import pandase as pd
 
# assign path
path, dirs, files = next(os.walk("./csv/"))
file_count = len(files)
# create empty list
dataframes_list = []
 
# append datasets to the list
for i in range(file_count):
    temp_df = pd.read_csv("./csv/"+files[i])
    dataframes_list.append(temp_df)
     
# display datasets
for dataset in dataframes_list:
    display(dataset)

 

 

Output:

 

 




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