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_xlim() Function
The Axes.get_xlim() function in axes module of matplotlib library is used to get the x-axis view limits.
Syntax: Axes.get_xlim(self)
Returns:This method returns the following
- left, right :This returns the current x-axis limits in data coordinates.
Below examples illustrate the matplotlib.axes.Axes.get_xlim() 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_xlim( - 3 , 3 )
xmin, xmax = ax.get_xlim()
ax.set_title( 'Original Window' , fontsize = 10 , fontweight = 'bold' )
ax1.plot(x, y, 'g' )
ax1.set_xlim(xmin, 2 * xmax)
ax1.set_title( 'Using get_xlim() function' ,
fontsize = 10 , fontweight = 'bold' )
fig.suptitle('matplotlib.axes.Axes.get_xlim()\ 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 = ( - 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 )
ax11. set (xlim = ( - 1.0 , 1.0 ), ylim = ( - 1.0 , 1.0 ),
autoscale_on = False )
ax22. 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) 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 - 0.5 , x + 0.5 )
ax2.set_ylim(y - 0.5 , y + 0.5 )
ax22.set_xlim(x - 0.5 , x + 0.5 )
ax22.set_ylim(y - 0.5 , y + 0.5 )
fig2.canvas.draw()
fig1.canvas.mpl_connect( 'button_press_event' , GFG)
xmin, xmax = ax1.get_xlim()
ax1.set_title( 'Original Window' , fontsize = 10 ,
fontweight = 'bold' )
ax11.set_xlim(xmin, 2 * xmax)
ax11.set_title( 'After Using get_xlim() function' ,
fontsize = 10 , fontweight = 'bold' )
xmin, xmax = ax2.get_xlim()
ax2.set_title( 'Zoomed Window' , fontsize = 10 ,
fontweight = 'bold' )
ax22.set_xlim(xmin, 2 * xmax)
ax22.set_title( 'After Using get_xlim() function' ,
fontsize = 10 , fontweight = 'bold' )
fig1.suptitle('matplotlib.axes.Axes.get_xlim() \ Example\n ',fontsize=10, fontweight=' bold')
plt.show() |
Output: