Python 中的 matplotlib . axes . axes . get _ shared _ x _ axes()
原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-get _ shared _ x _ axes-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。轴类包含了大部分的图形元素:轴、刻度、线二维、文本、多边形等。，并设置坐标系。Axes 的实例通过回调属性支持回调。
matplotlib . axes . axes . get _ shared _ x _ axes()函数
matplotlib 库的 Axes 模块中的Axis . get _ shared _ x _ axes()函数用于返回 x 轴的共享轴 Grouper 对象的引用。
语法:
Axes.get_shared_x_axes(self)
下面的例子说明了 matplotlib.axes . axes . get _ shared _ x _ axes()函数在 matplotlib . axes 中的作用:
例 1:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
def GFG1(temp):
return (5\. / 9.) * (temp - 32)
def GFG2(ax1):
y1, y2 = ax1.get_ylim()
ax_twin .set_ylim(GFG1(y1), GFG1(y2))
ax_twin .figure.canvas.draw()
fig, ax1 = plt.subplots()
ax_twin = ax1.twinx()
ax1.callbacks.connect("ylim_changed", GFG2)
ax1.plot(np.linspace(-40, 120, 100))
ax1.set_xlim(0, 100)
ax1.set_ylabel('Fahrenheit')
ax_twin .set_ylabel('Celsius')
w = ax1.get_shared_x_axes()
w1 = ax_twin.get_shared_x_axes()
for i in w:
x, y = list(i)
ax1.text(40, 100, "Value return : \n",
fontweight ="bold")
ax1.text(27, 90, str(x)+"\n"+str(y),
fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_shared_x_axes()\
function Example\n\n', fontweight ="bold")
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
# Create some mock data
t = np.arange(0.01, 10.0, 0.001)
data1 = np.exp(t)
data2 = np.sin(0.4 * np.pi * t)
fig, ax1 = plt.subplots()
color = 'tab:blue'
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp', color = color)
ax1.plot(t, data1, color = color)
ax1.tick_params(axis ='y', labelcolor = color)
ax2 = ax1.twinx()
color = 'tab:green'
ax2.set_ylabel('sin', color = color)
ax2.plot(t, data2, color = color)
ax2.tick_params(axis ='y', labelcolor = color)
w = ax1.get_shared_x_axes()
w1 = ax2.get_shared_x_axes()
for i in w:
x, y = list(i)
ax1.text(4, 15000, "Value return : \n",
fontweight ="bold")
ax1.text(2, 13000, str(x)+"\n"+str(y),
fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_shared_x_axes()\
function Example\n\n', fontweight ="bold")
plt.show()
输出:
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