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Reading specific columns of a CSV file using Pandas

  • Last Updated : 24 Oct, 2020

Let us see how to read specific columns of a CSV file using Pandas. This can be done with the help of the pandas.read_csv() method. We will pass the first parameter as the CSV file and the second parameter the list of specific columns in the keyword usecols. It will return the data of the CSV file of specific columns.

Example 1: Link of the CSV file used: link

Python3




# importing the module
import pandas as pd
  
# read specific columns of csv file using Pandas
df = pd.read_csv("student_scores2.csv", usecols = ['IQ','Scores'])
print(df)

Output 
 

Example 2: Link of the CSV file used: link
 

Python3




# importing the module
import pandas as pd
  
# read specific columns of csv file using Pandas 
df = pd.read_csv("student.csv", usecols = ['Hours','Scores','Pass'])
print(df)

Output 
 

Example 3: Link of the CSV file used: link

Python3




# importing the module
import pandas as pd
  
 # read specific columns of csv file using Pandas
df = pd.read_csv("titanic.csv", usecols = ['Survived','Pclass'])
print(df)

Output:
 


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