Q:

Import multiple csv files into pandas and concatenate into one DataFrame

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mahmoud2506
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2022-05-25
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Importing CSV files in pandas is pretty simple. The DataFrame.read_csv() method is used to import the CSV file in the pandas. This CSV file is then converted into the DataFrame for further analysis. Sometimes, a single dataset does not contain all the required data, in that case we might need to import multiple CSV files and then concatenate into one DataFrame.

Note: To import CSV file, you must have a CSV file in your computer. 

To import multiple CSV files, we need to apply a check with the help of which we can get all the required files. The glob.glob() method returns a list of all the files containing some component of file name which is passed as a parameter inside it.

The glob.glob() Method

This method takes the path of the folder where all the required files are located. Secondly, it takes the string as a parameter which works as an identification of the required file.

Syntax:

req_files = glob.glob("C:/Users/hp/Desktop/Includehelp/*.csv")

Here, glob.glob() returns a list of all the files having ".csv" in its name.

pandas.concat() Method

This method just combines the datasets passed inside it as a parameter either along the rows or the columns. The list of path of datasets is passed as a parameter.

To work with MultiIndex in Python Pandas, we need to import the pandas library. Below is the syntax,

import pandas as pd
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mahmoud2506
2022-05-25
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Let us understand with the help of an example.

# Importing pandas package
import pandas as pd

# Importing glob library in order to get 
# a list of all the required files
import glob

# First Importing separate datasets
data1 = pd.read_csv('C:/Users/hp/Desktop/Includehelp/mycsv.csv')
data2 = pd.read_csv('C:/Users/hp/Desktop/Includehelp/mycsv1.csv')

# Creating separate DataFrames with 
# these two files
df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2)

# Printing separate DataFrames
print("First DataFrame:\n",df1,"\n\n")
print("Second DataFrame:\n",df2,"\n\n")

# Requesting a list of all the csv files present 
# in a specified folder
req_files = glob.glob("C:/Users/hp/Desktop/Includehelp/*.csv")

# Importing multiple CSV files and 
# concatenating them
data = pd.concat(map(pd.read_csv, req_files,),ignore_index=True)

# Creating the dataframe for 
# the combined data
df3=pd.DataFrame(data)

# Printing the combined DataFrame
print("Combined Dataframe:\n",df3)

Output:

Import multiple csv files

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