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How to draw a scatter plot in python - How to draw a scatter plot in python

Author: Qingchen Date: 2024-12-05

Python
Python-3.13.5

programming tools Storage size: 27.50 MB Time: 2022-12-05

Software introduction: Python is a general-purpose computer programming language. Python is a very beneficial tool for programmers, allowing you...

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Python is not only suitable for rapid development and prototyping, but also capable of handling large-scale data and complex computing tasks in a production environment. The performance of Python is already good enough, and performance can be significantly improved by optimizing the algorithm, using appropriate libraries (such as NumPy, Pandas, etc.) or extending it in combination with other high-performance languages ​​(such as C, C++).
Next, let the editor of Huajun explain to you how to draw a scatter plot in python and how to draw a scatter plot in python!

first step

Open your Python editing tool such as IDLE, PyCharm, VSCode, Jupyter Notebook, etc.

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Step 2

Create a new Python file in your editing tool, for example named scatter_plot.py.

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Step 3

In the scatter_plot.py file, introduce the matplotlib.pyplot library, which is the module for plotting in the matplotlib library.

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Step 4

Next, define the data you want to plot on the scatter plot. This usually consists of two lists, one for the x coordinate and another for the y coordinate.

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Step 5

Use the plt.scatter() function to draw a scatter plot. This function accepts data of x and y coordinates as input and generates a scatter plot. Use the plt.show() function to display the chart.

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Step 6

In your editing tool, click the [Run] button or use the corresponding shortcut key to run the scatter_plot.py file. The program will execute and display a window containing a scatter plot. Following the steps above, you should be able to successfully draw a scatter plot in Python.

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The above is how to implement keyboard input in python and how to implement keyboard input in python compiled by Huajun editor for you. I hope it can help you!

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