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_xbound() Function
The Axes.set_xbound() function in axes module of matplotlib library is used to set the lower and upper numerical bounds of the x-axis.
Syntax: Axes.set_xbound(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 x-axis bounds.
Note : This function can be used in place of set_xlim in various conditions.
Below examples illustrate the matplotlib.axes.Axes.set_xbound() 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 = 2 * np.cos( 2 * np.pi * (np.arange( - 3 , 3 , 0.005 )))
y = 2 * np.sin( 2 * np.pi * (np.arange( 0 , 6 , 0.005 )))
ax.plot(x, y, 'g' )
ax.set_xbound( - 4 , 4 )
ax.set_title('matplotlib.axes.Axes.set_xbound() \ 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 = ( - 1.0 , 1.0 ),
ylim = ( - 1.0 , 1.0 ),
autoscale_on = False )
ax2. set (xlim = ( - 0.5 , 0.5 ),
ylim = ( - 0.5 , 0.5 ),
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 - 0.5 , x + 0.5 )
ax2.set_ybound(y - 0.5 , y + 0.5 )
fig2.canvas.draw()
fig1.canvas.mpl_connect( 'button_press_event' ,
GFG)
ax1.set_title('matplotlib.axes.Axes.set_xbound()\ Example\n Original Window ', fontsize = 14 , fontweight = 'bold' )
ax2.set_title( 'Zoomed Window' ,
fontsize = 14 , fontweight = 'bold' )
plt.show() |
Output: