Matplotlib.axes.Axes.get_ylim() in Python

Last Updated : 19 Apr, 2020

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:

Python3

# 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:

Python3

# 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()