Stylecloud is a Python package that helps in creating beautiful word clouds in just a few lines of code. You can use this Python package to create unique and amazing word clouds from your textual data in just two lines of code. In this article, I will take you through a tutorial on Stylecloud in Python.
What is Stylecloud in Python?
The Stylecloud is a Python package that helps you to create amazing word clouds from your textual data in just two lines of code. A word cloud is an amazing data visualization tool that is used to understand the context of the text. It represents the most occurring words in a dataset by visualizing them the largest among all the words in a dataset and represents the less occurring words by visualizing them the smallest among all the words in a dataset.
You can go through a complete tutorial on visualizing word clouds using Python from here. In the section below, I will take you through how to create amazing word clouds in just 2 lines of code by using the Stylecloud package in Python.
Stylecloud in Python (Tutorial)
I hope you now have understood what are word clouds and why we visualize them while working on a data science task. If you have never used this Python package before then you can easily install it by using the pip command; pip install stylecloud. Now let’s see how to use the Stylecloud package in Python to create amazing word clouds in just two lines of code:
import stylecloud as sc sc.gen_stylecloud( file_path = 'challenge.txt', output_name = 'ch.png' )
After running the above code, you will be having an image saved by the name that you have given in the “output_name” parameter. Below is the output image that I got after running the above code on the dataset that I am using in this tutorial.
So this is how you can create amazing word clouds by using the Stylecloud package in Python. You can try to use it on more datasets to build your ability in understanding word clouds. I hope you liked this article on a tutorial on Stylecloud in Python. Feel free to ask your valuable questions in the comments section below.