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.get_smart_bounds() Function
The Axis.get_smart_bounds() function in axis module of matplotlib library is used to get whether the axis has smart bounds.
Syntax: Axis.get_smart_bounds(self)
Parameters: This method does not accepts any parameters.
Return value: This method return whether the axis has smart bounds.
Below examples illustrate the matplotlib.axis.Axis.get_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.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
ax.grid() print("Value return by get_smart_bounds() : [",
ax.xaxis.get_smart_bounds(),
ax.yaxis.get_smart_bounds(),"]")
fig.suptitle("""matplotlib.axis.Axis.get_smart_bounds()
function Example\n""", fontweight ="bold")
plt.show() |
Output:
Value return by get_smart_bounds() : [ False False ]
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() print("Value return by get_smart_bounds() :",
ax.xaxis.get_smart_bounds())
fig.suptitle("""matplotlib.axis.Axis.get_smart_bounds()
function Example\n""", fontweight ="bold")
plt.show() |
Output:
Value return by get_smart_bounds() : True