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Lists can store multiple elements in a specific order. However, when we print a list, it may be a little unclear whether the data is in row format or not. The data in a list can also be printed in a tabular format. This way, the data will remain neat and organized when you view it, as everything is beautifully arranged in rows and columns.

This tutorial shows you how to print data from a list collection in a tabular format.

format()Printing data in a tabular format using the function in Python

Python enables us to format()perform efficient string formatting using the String function. It gives us the freedom to ensure that we get the output in the desired format.

To display the data in a tabular format, we effectively specify the spaces between the columns and print the data in the list in the same format.

For example,

d = [["Mark", 12, 95], ["Jay", 11, 88], ["Jack", 14, 90]]

print("{:<8} {:<15} {:<10}".format("Name", "Age", "Percent"))

for v in d:
    name, age, perc = v
    print("{:<8} {:<15} {:<10}".format(name, age, perc))

Output:

Name     Age             Percent   
Mark     12              95        
Jay      11              88        
Jack     14              90 

tabulatePrinting data in a tabular format using the module in Python

tabulateThe module has methods that can be used to print data in a simple and elegant table structure.

We just need to specify the data and column names to the function from this module tabulate()and it will do the rest.

For example,

from tabulate import tabulate

d = [["Mark", 12, 95], ["Jay", 11, 88], ["Jack", 14, 90]]

print(tabulate(d, headers=["Name", "Age", "Percent"]))

Output:

Name      Age    Percent
------  -----  ---------
Mark       12         95
Jay        11         88
Jack       14         90

Note that there are other modules in Python that can print data in different tabular styles. Some of them are PrettyTable, termtable, texttableetc.

pandas.DataFrame()Use the function to print data in a tabular format in Python

pandasThe library allows us to create DataFrames in Python. These DataFrames are generally used to store datasets and enable efficient processing of the data stored in them. We can also perform various types of operations on DataFrames.

We can very easily create a DataFrame using the data in the list and print it as shown below.

import pandas as pd

d = [["Mark", 12, 95], ["Jay", 11, 88], ["Jack", 14, 90]]

df = pd.DataFrame(d, columns=["Name", "Age", "Percent"])
print(df)

Output:

   Name  Age  Percent
0  Mark   12       95
1   Jay   11       88
2  Jack   14       90