# Python绘制六种可视化图表详解，三维图最炫酷！你觉得呢？

Python绘制六种可视化图表详解，三维图最炫酷！你觉得呢？

[En]

There are quite a variety of visual charts, but the common ones are only the following, and the others are more complex, mostly based on the following combinations and transformations. For beginners, it is easy to be frightened by the many types of charts on this official website, because there are too many kinds of charts, several chart drawing methods are likely to be confused.

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Therefore, here, I have specially summarized six common basic chart types, which you can lay a solid foundation through comparative learning.

1. 折线图

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Draw a line chart, which will be zigzag if you don’t have a lot of data, but once your data set grows up, as in our example below, there are 100 points, so what we see with the naked eye will be a smooth curve.

1. 散点图

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In fact, the scatter chart and the line chart are the same principle. Connecting the points in the scatter chart with a line is a line chart. So to draw a scatter chart, you just need to set the linetype.

1. 直方图

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The histogram is no stranger to us. Here Xiaoming makes it more difficult to draw two frequency histograms in one picture. This should also be encountered in the actual scene, because it is really convenient to compare, is there?

1. 柱状图

4.1 并列柱状图

4.2 叠加柱状图

1. 饼图

5.1 普通饼图

5.2 嵌套饼图

5.3 极轴饼图

1. 三维图

6.1 绘制三维散点图

6.2 绘制三维平面图

Original: https://www.cnblogs.com/amengduo/p/9586216.html
Author: 刘小子
Title: Python绘制六种可视化图表详解，三维图最炫酷！你觉得呢？

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