Matplotlib.axes.axes.get_ylim()

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_ylim()

matplotlib库的Axes模块中的Axes.get_ylim()函数用于获取y轴视图的限制。

语法:Axes.get_ylim(self)

该方法返回以下内容

• bottom, top:这将以数据坐标返回当前y轴限制。

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

示例1

# Implementation of matplotlib function
from matplotlib.widgets import Cursor
import numpy as np
import matplotlib.pyplot as plt
   
   
np.random.seed(19680801)
   
fig, (ax, ax1) = plt.subplots(1, 2,
                              facecolor ='#A0F0CC')
   
x, y = 4*(np.random.rand(2, 100) - .5)
ax.plot(x, y, 'g')
ax.set_ylim(-3, 3)
  
xmin, xmax = ax.get_ylim()
ax.set_title('Original Window', 
             fontsize = 10,
             fontweight ='bold')
  
ax1.plot(x, y, 'g')
ax1.set_ylim(xmin, 2 * xmax)
ax1.set_title('Using get_ylim() function',
             fontsize = 10, 
              fontweight ='bold')
  
fig.suptitle('matplotlib.axes.Axes.get_ylim(\
Example\n', fontsize = 10, fontweight ='bold')
plt.show()

输出:

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
    
fig1, (ax1, ax11) = plt.subplots(1, 2)
fig2, (ax2, ax22) = plt.subplots(1, 2)
ax1.set(xlim =(-0.5, 1.5), 
        ylim =(-0.5, 1.5), 
        autoscale_on = False)
  
ax2.set(xlim =(0.5, 0.75), 
        ylim =(0.5, 0.75), 
        autoscale_on = False)
  
ax11.set(xlim =(-0.5, 1.5),
         ylim =(-0.5, 1.5), 
         autoscale_on = False)
  
ax22.set(xlim =(0.5, 0.75), 
         ylim =(0.5, 0.75), 
         autoscale_on = False)
    
x, y, s, c = np.random.rand(4, 200)
s *= 200
    
ax1.scatter(x, y, s, c)
ax2.scatter(x, y, s, c)
ax11.scatter(x, y, s, c)
ax22.scatter(x, y, s, c)
    
    
def GFG(event):
    if event.button != 1:
        return
    x, y = event.xdata, event.ydata
    ax2.set_xlim(x - 0.1, x + 0.1)
    ax2.set_ylim(y - 0.1, y + 0.1)
    ax22.set_xlim(x - 0.1, x + 0.1)
    ax22.set_ylim(y - 0.1, y + 0.1)
    fig2.canvas.draw()
    
fig1.canvas.mpl_connect('button_press_event',
                        GFG)  
   
xmin, xmax = ax1.get_ylim()
ax1.set_title('Original Window', fontsize = 10,
              fontweight ='bold')
   
ax11.set_ylim(xmin, 2 * xmax)
ax11.set_title('After Using get_ylim() function',
             fontsize = 10, fontweight ='bold')
   
xmin, xmax = ax2.get_ylim()
ax2.set_title('Zoomed Window', fontsize = 10,
              fontweight ='bold')
   
ax22.set_ylim(xmin, 2 * xmax)
ax22.set_title('After Using get_ylim() function',
             fontsize = 10, fontweight ='bold')
   
fig1.suptitle('matplotlib.axes.Axes.get_ylim()\
Example\n', fontsize = 10, fontweight ='bold')
plt.show()

输出: