How Can I Efficiently Format Python Lists as Tabular Data?

Formatting Python Lists as Tabular Data

When presenting tabular data in Python, it can be challenging to achieve a visually appealing format. A common solution is to create a list of headings and a matrix of data entries, as demonstrated below:

teams_list = ["Man Utd", "Man City", "T Hotspur"]
data = np.array([[1, 2, 1],
                 [0, 1, 0],
                 [2, 4, 2]])

However, transforming this data into a readable table can be cumbersome. To simplify this process, various Python packages provide specialized tools for formatting lists as tables.

1. Tabulate

Using tabulate, you can easily create formatted tables with customizable headers and styles.

from tabulate import tabulate
print(tabulate([['Alice', 24], ['Bob', 19]], headers=['Name', 'Age']))

2. PrettyTable

PrettyTable offers a more advanced table formatting solution, allowing you to add rows, define custom headers, and even read data from various sources.

from prettytable import PrettyTable
t = PrettyTable(['Name', 'Age'])
t.add_row(['Alice', 24])
t.add_row(['Bob', 19])
print(t)

3. Texttable

Texttable provides a simple and efficient way to create text-based tables with customizable alignments and border styles.

from texttable import Texttable
t = Texttable()
t.add_rows([['Name', 'Age'], ['Alice', 24], ['Bob', 19]])
print(t.draw())

4. Termtables

Termtables combines the features of texttable with compatibility for both text-based and graphical output.

import termtables as tt
string = tt.to_string(
    [["Alice", 24], ["Bob", 19]],
    header=["Name", "Age"],
   >

Other Options

• terminaltables: Supports multi-line rows for text-based applications.
• asciitable: Enables reading and writing various ASCII table formats.

These Python packages offer versatile solutions for transforming Python lists into visually appealing tabular data.

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