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:
