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Display table of values using tabular format - Python Program

Example 1:

print("Num\tSquare\tCube")
for i in range(1, 6):
    print(f"{i}\t{i**2}\t{i**3}")

 
OUTPUT  :
Num Square  Cube
1   1   1
2   4   8
3   9   27
4   16  64
5   25  125 

Example 2:

Displaying Tabular Data in Python

Python provides several built-in and third-party libraries that make it easy to display tabular data in a variety of formats. Here are some of the most commonly used techniques:

Using the print() Function

The simplest way to display tabular data in Python is by using the print() function. You can create a list of lists or a 2D array and print it row by row:

data = [
    ["Name", "Age", "Gender"],
    ["John", 25, "Male"],
    ["Jane", 30, "Female"],
    ["Bob", 35, "Male"]
]

for row in data:
    print(", ".join(str(x) for x in row))

 
OUTPUT  :
Name, Age, Gender
John, 25, Male
Jane, 30, Female
Bob, 35, Male

Example 3:

Using the tabulate Library

The tabulate library provides a more sophisticated way to display tabular data. It can format the data in various styles, such as grid, simple, and fancy grid:

from tabulate import tabulate

data = [
    ["Name", "Age", "Gender"],
    ["Ronnie", 21, "Male"],
    ["Anu", 20, "Female"],
    ["Rajesh", 25, "Male"]
]

print(tabulate(data, headers="firstrow", tablefmt="grid"))

 
OUTPUT  :
+----------+-----+----------+
| Name     | Age | Gender   |
+----------+-----+----------+
| Ronnie   | 21  | Male        |
| Anu       | 20  | Female     |
| Rajesh   | 25  | Male        |
+----------+-----+----------+

Example 4:

Using the pandas Library

The pandas library is a powerful data manipulation and analysis tool that provides a DataFrame object, which can be used to represent and display tabular data. DataFrame offers a wide range of formatting options and customization features:

import pandas as pd

data = [
    ["Ronnie", 21, "Male"],
    ["Anu", 20, "Female"],
    ["Raja", 25, "Male"]
]
df = pd.DataFrame(data, columns=["Name", "Age", "Gender"])
print(df)

 
OUTPUT  :
     Name  Age  Gender
0  Ronnie   21    Male
1     Anu   20  Female
2    Raja   25    Male
 

Example 5:

Customizing Tabular Data Presentation

Basic capability for showing tabular data is provided by the built-in and third-party libraries, but there are many situations in which you might wish to further modify the presentation to meet your unique requirements. Here are a few popular methods for altering how tabular data is shown in Python

Adjusting Column Widths and Alignments

In your tabular data, you have control over the column width and alignment. This is very helpful when working with data that has different column lengths or when you wish to make the output easier to read.

from tabulate import tabulate

data = [
    ["Name", "Age", "Gender"],
    ["Ronnie", 21, "Male"],
    ["Anu", 20, "Female"],
    ["Rajesh", 25, "Male"]
]

print(tabulate(data, headers=["Name", "Age", "Gender"], tablefmt="grid", colalign=("left", "right", "center")))

 
OUTPUT  :
+----------+-----+----------+
| Name     | Age | Gender   |
+----------+-----+----------+
| Ronnie   | 21  | Male        |
| Anu       | 20  | Female     |
| Rajesh   | 25  | Male        |
+----------+-----+----------+
 

Example 6:

Applying Conditional Formatting

You can apply conditional formatting to highlight specific values or patterns in your tabular data. This can be particularly useful for data analysis and reporting tasks.

import pandas as pd

data = [
    ["John", 25, "Male"],
    ["Jane", 30, "Female"],
    ["Bob", 35, "Male"]
]
df = pd.DataFrame(data, columns=["Name", "Age", "Gender"])

## Apply conditional formatting
def highlight_gender(gender):
    if gender == "Male":
        return 'color: blue'
    else:
        return 'color: red'

print(df.style.apply(lambda x: highlight_gender(x["Gender"]), axis=1))

 
OUTPUT  :
This will output the DataFrame with the gender column highlighted in blue for "Male" and red for "Female".
Name      Age       Gender    
------------------------------
John      25        Male      
Jane      30        Female    
Bob       35        Male      

Advanced Program

To display a table of values in a tabular format in Python, the tabulate  library is a highly effective and recommended choice due to its ease of use and various formatting options.

1. Installation:

First, install the tabulate library using pip if you haven't already:

pip install tabulate

2. Program to Display a Table:

Here is a complete program demonstrating how to display a table using tabulate:

Example 7: Advanced Program

from tabulate import tabulate

# Sample data as a list of lists
data = [
        ["Ronnie", 24, "Engineer"],
        ["Raja", 30, "Data Scientist"],
        ["Danny", 28, "Teacher"],
        ["Navita", 35, "Doctor"]
    ]

# Define the headers for the table
headers = ["Name", "Age", "Profession"]

# Display the table using tabulate
# tablefmt="grid" creates a table with borders
print("--- Employee Information ---")
print(tabulate(data, headers=headers, tablefmt="grid"))

print("\n--- Another Example (using 'simple' format) ---")
# Another example with a different table format
data_products = [
        ["Laptop", 1200, "Electronics"],
        ["Desk Chair", 250, "Furniture"],
        ["Coffee Maker", 80, "Appliances"]
    ]
headers_products = ["Product", "Price ($)", "Category"]
print(tabulate(data_products, headers=headers_products, tablefmt="simple"))

 
OUTPUT  :
--- Employee Information ---
+--------+-------+----------------+
| Name   |   Age | Profession     |
+========+=======+================+
| Ronnie |    24 | Engineer       |
+--------+-------+----------------+
| Raja   |    30 | Data Scientist |
+--------+-------+----------------+
| Danny  |    28 | Teacher        |
+--------+-------+----------------+
| Navita |    35 | Doctor         |
+--------+-------+----------------+

--- Another Example (using 'simple' format) ---
Product         Price ($)  Category
------------  -----------  -----------
Laptop               1200  Electronics
Desk Chair            250  Furniture
Coffee Maker           80  Appliances