Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Axis.set_smart_bounds() Function
The Axis.set_smart_bounds() function in axis module of matplotlib library is used to set the axis to have smart bounds.
Syntax: Axis.set_smart_bounds(self, value)
Parameters: This method accepts the following parameters.
- value: This parameter is the bool value.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.set_smart_bounds() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt fig = plt.figure() x = np.linspace(-np.pi, np.pi, 100) y = 2*np.sin(x) ax = fig.add_subplot() ax.set_title('centered spines') ax.plot(x, y) ax.spines['left'].set_position('center') ax.spines['right'].set_color('none') ax.spines['bottom'].set_position('center') ax.spines['top'].set_color('none') ax.spines['left'].set_smart_bounds(True) ax.spines['bottom'].set_smart_bounds(True) ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') ax.grid() fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt fig = plt.figure() x = np.linspace(-np.pi, np.pi, 100) y = 2*np.sin(x) ax = fig.add_subplot() ax.set_title('Spines at data (3, 2)') ax.plot(x, y) ax.spines['left'].set_position(('data', 3)) ax.spines['right'].set_color('none') ax.spines['bottom'].set_position(('data', 2)) ax.spines['top'].set_color('none') ax.spines['left'].set_smart_bounds(True) ax.spines['bottom'].set_smart_bounds(True) ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') ax.grid() fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds() function Example\n""", fontweight ="bold") plt.show() |
Output:
