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 :
- Import the
PandasandNumpymodules. - Create a DataFrame using the
DatFrame()method. - Save the DataFrame as a csv file using the
to_csv()method with the parametersepas “\t”. - Load the newly created CSV file using the
read_csv()method as a DataFrame. - Display the new DataFrame.
# 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) |
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Output :
The contents of the Students.csv file are :
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