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In this tutorial, we'll explore how to control the size of the grid in a Python plot using the popular matplotlib library. The grid size refers to the number of rows and columns in the grid where your subplots are arranged.
Before we start, make sure you have matplotlib installed. If you don't have it installed, you can install it using:
Let's start with a basic example of creating a plot with the default grid size:
By default, subplots() creates a single subplot (1 row, 1 column).
Now, let's customize the grid size by specifying the number of rows and columns when calling subplots():
Here, nrows=2 and ncols=2 create a 2x2 grid. You can adjust these parameters according to your desired grid size.
You can also adjust the relative size of rows and columns using the gridspec_kw parameter. For example:
Here, width_ratios controls the relative width of each column in the grid.
Feel free to experiment with different grid sizes and configurations to suit your specific visualization needs. The matplotlib library provides extensive customization options for creating professional-looking plots.
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