How to Enlarge the Subplot Size in Python using Matplotlib's PyPlot

When creating subplots with matplotlib's pyplot, it is common to encounter situations where the text within these subplots appears too small. This can be a problem when trying to visualize large amounts of data or when multiple plots need to be displayed side by side.

One way to modify the size of the text within your subplots is to set the font size directly. This can be done using matplotlib's rcParams, which allows you to set various parameters globally for your plot. To do this, you can use the following code:

```

import matplotlib.pyplot as plt

plt.plot(y, color='blue', label='Sine wave')

plt.plot(z, color='black', label='Cosine wave')

```

By modifying the font size parameter via rcParams, you can set a new size for all text within your plot. This approach is useful when you have many textual elements and want to ensure that everything appears uniform.

However, if you only need to adjust the font size for a specific subplot or group of subplots, you may find it more convenient to use the add_axes method. This allows you to create a new axes object at a specified location within your figure and set its properties as needed.

Here's an example of how you can use the add_axes method to create a new axes object with a larger font size:

```

fig, ax = plt.subplots()

ax.add_axes('0.15, 0.1, 0.7, 0.3', frameon=False)

plt.plot(y, color='blue', label='Sine wave')

plt.plot(z, color='black', label='Cosine wave')

```

In this example, we create a new axes object at the specified location within our figure using add_axes. We then set the font size for this axes object to a larger value.

By using these approaches, you can easily adjust the size of your subplots and ensure that they appear clear and readable when displaying complex data sets or multiple plots side by side.

Pyplot enlarge subplot size