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() |
Output: