Pandas – DataFrame to CSV file using tab separator

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 DataFrame() 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.

Python3

# importing 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')

# loading the CSV file
new_df = pd.read_csv('Students.csv')

# displaying the new DataFrame
print('Data from Students.csv:')
print(new_df)

Output :

The contents of the Students.csv file are :