Pandas DataFrame: Write a DataFrame to CSV file using tab separator

Pandas: DataFrame Exercise-27 with Solution

Write a Pandas program to write a DataFrame to CSV file using tab separator.

Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 4 5 8
2 3 6 9
3 4 7 0
4 5 8 1
Data from new_file.csv file:
col1\tcol2\tcol3
0 1\t4\t7
1 4\t5\t8
2 3\t6\t9
3 4\t7\t0
4 5\t8\t1

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
d = {'col1': [1, 4, 3, 4, 5], 'col2': [4, 5, 6, 7, 8], 'col3': [7, 8, 9, 0, 1]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print('Data from new_file.csv file:')
df.to_csv('new_file.csv', sep='\t', index=False)
new_df = pd.read_csv('new_file.csv')
print(new_df)

Sample Output:

     Original DataFrame
   col1  col2  col3
0     1     4     7
1     4     5     8
2     3     6     9
3     4     7     0
4     5     8     1
Data from new_file.csv file:
  col1\tcol2\tcol3
0          1\t4\t7
1          4\t5\t8
2          3\t6\t9
3          4\t7\t0
4          5\t8\t1             

Explanation:

The above code first creates a Pandas DataFrame ‘df’ from a dictionary ‘d’ containing three columns: col1, col2, and col3.

df.to_csv('new_file.csv', sep='\t', index=False): This code saves this DataFrame as a tab-separated file named new_file.csv using the to_csv() method with the parameters sep='\t' and index=False.

new_df = pd.read_csv('new_file.csv'): This code loads the saved file into a new DataFrame new_df using the read_csv() function.

Finally print() function prints the content of 'new_df' to the console.

Python-Pandas Code Editor:

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