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Matplotlib.axes.Axes.set_ybound() 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.set_ybound() Function

The Axes.set_ybound() function in axes module of matplotlib library is used to set the lower and upper numerical bounds of the y-axis.

Syntax: Axes.set_ybound(self, lower=None, upper=None)

Parameters: This method accepts the following parameters.

  • lower, upper: These parameters are the lower and upper bounds. If None, the respective axis bound is not modified.

Returns:This method returns the following

  • lower, upper :This returns the new lower and upper y-axis bounds.

Note: This function can be used in place of set_ylim in various conditions.

Below examples illustrate the matplotlib.axes.Axes.set_ybound() 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 = plt.subplots()
   
x, y = 4*(np.random.rand(2, 50) - .5)
ax.plot(x, y, 'g')
ax.set_ybound(-4, 4)
       
ax.set_title('matplotlib.axes.Axes.set_ybound() Example\n',
             fontsize = 14, fontweight ='bold')
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
   
fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()
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)
   
x, y, s, c = np.random.rand(4, 200)
s *= 200
   
ax1.scatter(x, y, s, c)
ax2.scatter(x, y, s, c)
   
   
def GFG(event):
  
    if event.button != 1:
        return
  
    x, y = event.xdata, event.ydata
    ax2.set_xbound(x - 0.1, x + 0.1)
    ax2.set_ybound(y - 0.2, y + 0.2)
    fig2.canvas.draw()
   
fig1.canvas.mpl_connect('button_press_event', GFG)   
ax1.set_title('matplotlib.axes.Axes.set_ybound()\
 Example\n Original Window ',
             fontsize = 14, fontweight ='bold')
  
ax2.set_title('Zoomed window ',
             fontsize = 14, fontweight ='bold')
plt.show()

Output:


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