Skip to content
Related Articles

Related Articles

Pandas – DataFrame to CSV file using tab separator
  • Last Updated : 10 Jul, 2020

Let’s see how to convert a DataFrame to a CSV file using the tab separator. We will be using the to_csv() method to save a DataFrame as a csv file. To save the DataFrame with tab separators, we have to pass “\t” as the sep parameter in the to_csv() method.

Approach :

  1. Import the Pandas and Numpy modules.
  2. Create a DataFrame using the DatFrame() method.
  3. Save the DataFrame as a csv file using the to_csv() method with the parameter sep as “\t”.
  4. Load the newly created CSV file using the read_csv() method as a DataFrame.
  5. Display the new DataFrame.
filter_none

edit
close

play_arrow

link
brightness_4
code

# impiorting the modules
import pandas as pd
import numpy as np
  
# creating a DataFrame
students = {'Student': ['Amit', 'Cody'
                        'Darren', 'Drew'],
            'RollNumber': [1, 5, 10, 15],
            'Grade': ['A', 'C', 'F', 'B']}
df = pd.DataFrame(students, 
                  columns =['Student', 'RollNumber'
                            'Grade'])
# displaying the original DataFrame
print("Original DataFrame")
print(df)
  
# saving as a CSV file
df.to_csv('Students.csv', sep ='\t')
  
# laoding the CSV file
new_df = pd.read_csv('Students.csv')
  
# displaying the new DataFrame
print('Data from Students.csv:')
print(new_df)

chevron_right


Output :


The contents of the Students.csv file are :

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :