Pretty print a pandas dataframe in VS Code

Tabulate is an excellent library to achieve fancy/pretty print of the pandas df:

information - link: [https://pypi.org/project/tabulate/]

Please follow following steps in order to achieve pretty print: (Note: For easy illustration I will create simple dataframe in python)

1) install tabulate

pip install --upgrade tabulate

This statement will always install latest version of the tabulate library.

2) import statements

import pandas as pd
from tabulate import tabulate

3) create simple temporary dataframe

temp_data = {'Name': ['Sean', 'Ana', 'KK', 'Kelly', 'Amanda'], 
        'Age': [42, 52, 36, 24, 73], 
        'Maths_Score': [67, 43, 65, 78, 97],
        'English_Score': [78, 98, 45, 67, 64]}
df = pd.DataFrame(temp_data, columns = ['Name', 'Age', 'Maths_Score', 'English_Score'])

4) without tabulate our dataframe print will be:

print(df)

    Name  Age  Maths_Score  English_Score
0    Sean   42           67             78
1     Ana   52           43             98
2      KK   36           65             45
3   Kelly   24           78             67
4  Amanda   73           97             64

5) after using tabulate your pretty print will be :

print(tabulate(df, headers='keys', tablefmt='psql'))

+----+--------+-------+---------------+-----------------+
|    | Name   |   Age |   Maths_Score |   English_Score |
|----+--------+-------+---------------+-----------------|
|  0 | Sean   |    42 |            67 |              78 |
|  1 | Ana    |    52 |            43 |              98 |
|  2 | KK     |    36 |            65 |              45 |
|  3 | Kelly  |    24 |            78 |              67 |
|  4 | Amanda |    73 |            97 |              64 |
+----+--------+-------+---------------+-----------------+

nice and crispy print, enjoy!!! Please add comments, if you like my answer!

As of the January 2021 release of the python extension, you can now view pandas dataframes with the built-in data viewer when debugging native python programs. When the program is halted at a breakpoint, right-click the dataframe variable in the variables list and select "View Value in Data Viewer"

• use vs code jupyter notebooks support
• choose between attach to local script or launch mode, up to you.
• include a breakpoint() where you want to break if using attach mode.

• when debugging use the debug console to:

  display(df_consigne_errors)
  

I have not found a similar feature for VS Code. If you require this feature you might consider using Spyder IDE. Spyder IDE Homepage