How to Color Text Output from Pandas DataFrame in Terminal (Linux)

Learn how to print your `Pandas DataFrame` in different colors based on values using Colorama and Termcolor in your Linux terminal.
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How to Color Text Output from Pandas DataFrame in Terminal (Linux)

When working with data in a Pandas DataFrame, you may want visual cues to help you quickly identify positive and negative values. Printing colored text in your terminal can achieve this effect. In this post, we’ll explore how to use the Colorama and Termcolor libraries to print colored text outputs based on your DataFrame values in a Linux terminal.

The Challenge

You have a Pandas DataFrame and want to print the values in different colors based on whether they're positive or negative. For example, if you're working with a dataset containing numbers, you'd like positive numbers to appear in green and negative numbers in red. Let's start by defining a small DataFrame for our example:

[[See Video to Reveal this Text or Code Snippet]]

Now, the challenge is to print this DataFrame colored according to the values it contains, which leads us to the solution.

Solution Overview

To accomplish colored text output in the terminal, we can use the following libraries:

Pandas: For manipulating the DataFrame.

Termcolor: For coloring the text in the terminal.

Steps to Color Text Output

Install Required Libraries: If you don’t have Termcolor installed, you can install it using pip:

[[See Video to Reveal this Text or Code Snippet]]

Create a Colorized DataFrame: Below is a code snippet demonstrating how to iterate through your DataFrame and color the text based on conditions.

Example Code

Here’s a sample code to print your DataFrame with the desired colors:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code

DataFrame Creation: We first create a sample DataFrame from a dictionary of lists.

Iterating Through Rows: The iterrows function allows us to loop through each row of the DataFrame.

Color Assignment:

If the value is positive, it is colored green.

If it is negative, it is colored red.

Colorized Strings: Original values are converted to strings (since only strings can be colored) and collected in a new list.

Final Output: The code prints the colored output from colorized_df, effectively presenting a colored view of your data.

Important Considerations

Data Types: Be mindful that coloring works with strings. Therefore, you need to cast numeric data types to strings before coloring them.

Synchronization: If you expect to modify the original DataFrame (df), ensure that any changes are synchronized with your colorized DataFrame to maintain consistency.

Conclusion

Using Termcolor, you can effectively highlight different values in your Pandas DataFrame when printing to your Linux terminal, enhancing readability and data comprehension. By implementing the code shared in this post, you'll be able to color your DataFrame’s output quickly, making it easier to analyze at a glance.

Now give your Pandas DataFrame a vibrant touch in your terminal! Happy coding!