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This article mainly shows you "python how to draw scatter chart", the content is easy to understand, clear, hope to help you solve your doubts, the following let the editor lead you to study and learn "python how to draw scatter chart" this article.

Description

1. Call the scatter () function and call scatter () to draw a scatter plot from a given bunch of random points (including x-ray coordinates). It can individually control the matching between each scatter and the data, so that each scatter has different attributes.

2. The other is to call the plot () function.

Example

#-*-coding: utf-8-*-# By:Eastmount CSDNimport numpy as npimport matplotlib.pyplot as plt # Construction data x = np.random.randn (200y) print (x [: 10]) print (y [: 10]) # drawing scatter plt.scatter (x, y) plt.show () numpy there are some common functions used to generate random numbers, randn () and rand () are among them. Numpy.random.randn (d0, D1, … Dn: returns one or more sample values from the standard normal distribution Numpy.random.rand (d0, D1, … , dn): generates a random sample and the number is in [0,1]. The above is all the contents of the article "how to draw scatter plots in python". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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