How to show an Axes Subplot in Python?

To show an axes subplot in Python, we can use the show() method from matplotlib. This method displays the figure window and renders all the plots that have been created. When multiple subplots are created, show() displays them together in a single window.

Basic Subplot Display

Steps

• Import matplotlib.pyplot and numpy
• Create x and y data points using numpy
• Plot x and y using plot() method
• To display the figure, use show() method

Example

from matplotlib import pyplot as plt
import numpy as np

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.arange(10)
y = np.exp(x)

plt.plot(x, y)
plt.show()

Multiple Subplots Example

You can create multiple subplots and display them using subplot() function ?

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 2*np.pi, 100)

# Create first subplot
plt.subplot(2, 1, 1)
plt.plot(x, np.sin(x))
plt.title('Sine Wave')

# Create second subplot  
plt.subplot(2, 1, 2)
plt.plot(x, np.cos(x))
plt.title('Cosine Wave')

plt.tight_layout()
plt.show()

Using Figure and Axes Objects

For more control, you can create figure and axes objects explicitly ?

import matplotlib.pyplot as plt
import numpy as np

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))

x = np.linspace(0, 10, 50)

ax1.plot(x, x**2)
ax1.set_title('Quadratic')

ax2.plot(x, np.sqrt(x))  
ax2.set_title('Square Root')

plt.show()

Key Points

• plt.show() displays all created plots in the current figure
• Use plt.subplot() for simple subplot layouts
• Use plt.subplots() for more control over subplot arrangement
• plt.tight_layout() adjusts spacing between subplots automatically

Conclusion

Use plt.show() to display matplotlib subplots. For multiple subplots, use subplot() for simple layouts or subplots() for better control over the figure structure.