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Title: Creating Multiple Plots in One Figure Using Python's Matplotlib Pyplot
Introduction:
Matplotlib is a powerful data visualization library in Python that provides various tools for creating high-quality plots and charts. In this tutorial, we will explore how to create multiple plots in a single figure using Matplotlib's Pyplot module. The challenge here is to handle a variable number of plots without knowing the exact count in advance.
Step 1: Importing Matplotlib and NumPy
Before we begin, make sure you have Matplotlib installed. If not, you can install it using:
Now, let's start by importing the necessary libraries:
Step 2: Function for Creating Multiple Plots
Next, let's create a function that takes an arbitrary number of datasets and plots them on the same figure. We'll use NumPy to generate some sample data for demonstration purposes.
Step 3: Using the Function
Now, you can use the create_multiple_plots function to generate plots with a flexible number of datasets. Here's an example using three datasets:
Feel free to modify the function and the example usage according to your specific needs. This approach allows you to create multiple plots in one figure without having to know the exact number of plots beforehand.
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