Skip to content
Related Articles

Related Articles

Improve Article

Matplotlib.figure.Figure.get_figheight() in Python

  • Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.

matplotlib.figure.Figure.get_figheight() method

The get_figheight() method figure module of matplotlib library is used to get the figure height as a float.

Syntax: get_figheight(self)

Parameters: This method does not accept any parameters.

Returns: This method return the figure height as a float.



Below examples illustrate the matplotlib.figure.Figure.get_figheight() function in matplotlib.figure:

Example 1:




# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
from matplotlib.figure import Figure
from mpl_toolkits.axisartist.axislines import Subplot 
import numpy as np 
  
  
fig = plt.figure() 
      
ax = Subplot(fig, 111
fig.add_subplot(ax)  
  
w = fig.get_figheight()
ax.text(0.2, 0.5,
        "Value Return by get_figheight() : "
        + str(w),
        fontweight ="bold")
    
fig.canvas.draw()
fig.suptitle('matplotlib.figure.Figure.get_figheight()\
function Example', fontweight ="bold"
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
from matplotlib.figure import Figure
import numpy as np
  
  
fig = plt.figure(edgecolor = "red", figsize =(7, 6)) 
       
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
     
xx = np.arange(0, 2 * np.pi, 0.01
ax.plot(xx, np.sin(xx)) 
   
w = fig.get_figheight()
ax.text(1.5, 0,
        "Value Return by get_figheight() : "
        + str(w),
        fontweight ="bold")
     
fig.canvas.draw()
  
fig.suptitle('matplotlib.figure.Figure.get_figheight()\
function Example', fontweight ="bold"
  
plt.show()

Output:

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :