Note
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Multiple subplots#
Simple demo with multiple subplots.
For more options, see Create multiple subplots using plt.subplots.
import matplotlib.pyplot as plt
import numpy as np
# Create some fake data.
x1 = np.linspace(0.0, 5.0)
y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
x2 = np.linspace(0.0, 2.0)
y2 = np.cos(2 * np.pi * x2)
subplots()
is the recommended method to generate simple subplot
arrangements:
fig, (ax1, ax2) = plt.subplots(2, 1)
fig.suptitle('A tale of 2 subplots')
ax1.plot(x1, y1, 'o-')
ax1.set_ylabel('Damped oscillation')
ax2.plot(x2, y2, '.-')
ax2.set_xlabel('time (s)')
ax2.set_ylabel('Undamped')
plt.show()
Subplots can also be generated one at a time using subplot()
:
plt.subplot(2, 1, 1)
plt.plot(x1, y1, 'o-')
plt.title('A tale of 2 subplots')
plt.ylabel('Damped oscillation')
plt.subplot(2, 1, 2)
plt.plot(x2, y2, '.-')
plt.xlabel('time (s)')
plt.ylabel('Undamped')
plt.show()