matplotlib.axes.Axes.twinx(self)
此方法不接受任何参数，如果提供了参数，将引发错误。它返回 ax_twin 对象，表示创建了一个新的 Axes 实例。以下示例说明了 matplotlib.axes 中的matplotlib . axes . Twinx()功能:
Python 3
# import libraries
import numpy as np
import matplotlib.pyplot as plt
# Creating dataset
x = np.arange(1.0, 100.0, 0.191)
dataset_1 = np.exp(x**0.25) - np.exp(x**0.5)
dataset_2 = np.sin(0.4 * np.pi * x**0.5) + np.cos(0.8 * np.pi * x**0.25)
# Creating plot with dataset_1
fig, ax1 = plt.subplots()
color = 'tab:red'
ax1.set_xlabel('X-axis')
ax1.set_ylabel('Y1-axis', color = color)
ax1.plot(x, dataset_1, color = color)
ax1.tick_params(axis ='y', labelcolor = color)
# Adding Twin Axes to plot using dataset_2
ax2 = ax1.twinx()
color = 'tab:green'
ax2.set_ylabel('Y2-axis', color = color)
ax2.plot(x, dataset_2, color = color)
ax2.tick_params(axis ='y', labelcolor = color)
# Adding title
plt.title('Use different y-axes on the left and right of a Matplotlib plot', fontweight ="bold")
# Show plot
plt.show()
Python 3
# import libraries
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('mathtext', default='regular')
# Creating dataset
x = np.arange(10)
dataset_1 = np.random.random(10)*30
dataset_2 = np.random.random(10)*60
dataset_3 = np.random.random(10)*100
# Creating figure
fig = plt.figure()
# Plotting dataset_2
ax = fig.add_subplot(111)
ax.plot(x, dataset_2, '-', label='dataset_2')
ax.plot(x, dataset_3, '-', label='dataset_3')
# Creating Twin axes for dataset_1
ax2 = ax.twinx()
ax2.plot(x, dataset_1, '-r', label='dataset_1')
# Adding title
plt.title('Use different y-axes on the left and right of a Matplotlib plot',
fontweight="bold")
# Adding legend
ax.legend(loc=0)
ax2.legend(loc=0)
# Sdding grid
ax.grid()
# Adding labels
ax.set_xlabel("X-axis")
ax.set_ylabel(r"Y1-axis")
ax2.set_ylabel(r"Y2-axis")
# Setting Y limits
ax2.set_ylim(0, 35)
ax.set_ylim(-20, 100)
# Show plot
plt.show()
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