Word clouds (tag clouds) are a great way to visualize text data. And python makes it easy to create one. This post will cover an example of using the Wordcloud library to generate word clouds.<\/p>\n\n\n\n
If you don’t know what it is, a word cloud visualizes how often words appear in a given piece of text. The more often a word appears, the larger it will be in the word cloud.<\/p>\n\n\n\n\n\n
There are several free word cloud generator tools<\/a> for general use. They could be instrumental if you’re preparing one for presentations or to include in a document. You don’t have to redo all the programming work. But you’d often have to generate word clouds dynamically or in large batches. This is where word cloud creations become tricky.<\/p>\n\n\n\n So, how to make word cloud programmatically? That’s the focus of this post. We will start with a basic word cloud and move on to create more advanced word cloud art.<\/p>\n\n\n\n Let’s build our phrase cloud generator (people sometimes call word cloud that way)<\/p>\n\n\n\n Wordcloud is a free and open-source Python library. As of writing this post, Wordcloud’s GitHub repo<\/a> has 8.7k stars and 2.2k forks, and 62 people contribute.<\/p>\n\n\n\n You can install the WordCloud library from PyPI.<\/p>\n\n\n\n1. Install the WordCloud library<\/h2>\n\n\n\n