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:
