Python data visualization - Python creates a word cloud to create a heart-shaped word cloud (MacWindows can run)

Author: Sledgehammer Love Programming Blog_CSDN Blog-Big Data, Go, Blogger in the Field of Data Analysis

Follow me to learn big data, Python data analysis, and various self-improvement tips

Summary: In this blog, we will explain how to create a word cloud of shapes using Python. We'll use the WordCloud library, NumPy, PIL, and Matplotlib to create a simple and fun heart-shaped word cloud. Through this article, you will learn how to create and customize your own shape word cloud.

1 Introduction

Word clouds are a popular visualization technique for displaying the most frequently occurring words in text data. In a word cloud, the size of a word is proportional to its frequency of occurrence in the text. Word clouds are commonly used to analyze and present textual data, such as keywords in social media, news reports, or literary works.

A shape word cloud is a special type of word cloud that can be generated from a specified shape. This type of word cloud is very interesting and attractive, and can spice up your data visualization projects.

 Advantages of shape word cloud:

  1. Coolness Max: Shape word cloud is simply the favorite of fashionistas. Various creative shapes make your text information look more attractive, which is simply irresistible!

  2. Professional style: Shape Word Cloud can enhance the theme with shapes related to the data set, and instantly double the style of your word cloud. For example, when we talk about environmental protection, we use the shape of the earth. Isn't this very appropriate?

  3. Master of Space Utilization: Shape word cloud can use space more efficiently according to the selected shape, so that your word cloud can display full vocabulary in a limited space!

  4. Personalization

Guess you like

Origin blog.csdn.net/alike_u/article/details/129961787