Installing Matplotlib in Visual Studio Code смотреть онлайн

In this video tutorial, we will learn to use "matplotlib" and "numpy" packages to create a graphical plot as is commonly done with data science.

Step 1: Create a file with the name: firstplot.py
******************************************
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 20, 100)
plt.plot(x, np.sin(x))
plt.show()
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Now run the file in the debugger using the "Python: Current file"
you would see a message, "ModuleNotFoundError: No module named 'matplotlib'". Such a message indicates that the required package isn't available in your system.

Step 2: 'matplotlib' package installation (which also installs numpy as a dependency):

open Command Palette to run Terminal: Create New Integrated Terminal (Ctrl+Shift+`).

Note: We will create a virtual environment and install the required packages, Such isolation reduces many complications that can arise from conflicting package versions.

**Enter the following command:
py -3 -m venv .venv
.venv\scripts\activate

Important:
***********
If the activate command generates the message "Activate.ps1 is not digitally signed. You cannot run this script on the current system.", then you need to temporarily change the PowerShell execution policy to allow scripts to run.

Set -ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process

Step 3: Select your new environment by using the Python: Select Interpreter command from the Command Palette.

Run the following command:
python -m pip install matplotlib

Step 4: Deactivate environment:
Once you are finished,
type "deactivate" in the terminal window to deactivate the virtual environment.

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