Matplotlib.axes.axes.get_xlabel()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

函数:Matplotlib.axes.axes.get_xlabel()

matplotlib库的Axes模块中的Axes.get_xlabel()函数用于获取xlabel文本字符串。

语法:Axes.get_xlabel(self)

参数:该方法不接受任何参数。

Return:该函数返回xlabel文本字符串。

下面的例子演示了matplotlib.axes.axes.get_xlabel()函数在matplotlib.axes中的作用:

示例1

import matplotlib.pyplot as plt
import numpy as np
   
t = np.arange(0.01, 5.0, 0.01)
s = np.exp(-t)
   
fig, ax = plt.subplots()
   
ax.plot(t, s)
ax.set_xlim(5, 0)
ax.set_xlabel('Display X-axis Label', fontweight ='bold')
ax.grid(True)
  
w = ax.get_xlabel()
ax.set_xlabel("")
ax.text(3.5, 0.5, "Previously assigned X-Label : \n\n"+str(w), 
        fontsize = 12)
fig.suptitle("matplotlib.axes.Axes.get_xlabel() function \
Example\n", fontweight ="bold")
plt.show()

输出:

示例2

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
   
with cbook.get_sample_data('goog.npz') as datafile:
    price_data = np.load(datafile)['price_data'].view(np.recarray)
      
# get the most recent 250 trading days
price_data = price_data[-250:]  
   
delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1]
   
volume = (25 * price_data.volume[:-2] / price_data.volume[0])**2
close = (0.03 * price_data.close[:-2] / 0.03 * price_data.open[:-2])**2
   
fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:],
           c = close, s = volume, 
           alpha = 0.5)
   
ax.set_xlabel(r'X-axis contains \Delta_i values',
              fontweight ='bold')
ax.grid(True)
  
w = ax.get_xlabel()
ax.set_xlabel("")
ax.set_ylabel(w)
ax.text(-0.1, 0.1, "Previously assigned X-Label is now\
Assigned to Y-Label", fontsize = 12, fontweight ="bold")
  
fig.suptitle("matplotlib.axes.Axes.get_xlabel() \
function Example\n", fontweight ="bold")
plt.show()

输出: