Matplotlib.axes.Axes.get_ylim() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.get_ylim() Function

The Axes.get_ylim() function in axes module of matplotlib library is used to get the y-axis view limits.

Syntax: Axes.get_ylim(self)

Returns:This method returns the following

bottom, top :This returns the current y-axis limits in data coordinates.

Below examples illustrate the matplotlib.axes.Axes.get_ylim() function in matplotlib.axes:

Example 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() 

Output:

Example 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() 