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Matplotlib.figure.Figure.show() in Python

  • Last Updated : 03 May, 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.show() method

The show() method figure module of matplotlib library is used to display the figure window.

Syntax: show(self, warn=True)

Parameters: This method accept the following parameters that are discussed below:

  • warn : This parameter contains the boolean value.

Returns: This method does not returns any value.

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

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
   
fig = plt.figure()
x = np.arange(20) / 50
y = (x + 0.1)*2
   
val1 = [True, False] * 10
val2 = [False, True] * 10
   
plt.errorbar(x, y, 
             xerr = 0.1,
             xlolims = True,
             label ='Line 1')
y = (x + 0.3)*3
   
plt.errorbar(x + 0.6, y,
             xerr = 0.1,
             xuplims = val1,
             xlolims = val2,
             label ='Line 2')
   
y = (x + 0.6)*4
plt.errorbar(x + 1.2, y,
             xerr = 0.1,
             xuplims = True,
             label ='Line 3')
   
plt.legend()
  
fig.suptitle("""matplotlib.figure.Figure.show()
function Example\n\n""", fontweight ="bold") 
  
fig.show() 

Output:

Example 2:




# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
   
x = np.linspace(0, 10, 500)
y = np.sin(x**2)+np.cos(x)
   
fig, ax = plt.subplots()
   
ax.plot(x, y, label ='Line 1')
   
ax.plot(x, y - 0.6, label ='Line 2')
   
ax.legend()
  
fig.suptitle("""matplotlib.figure.Figure.show()
function Example\n\n""", fontweight ="bold") 
  
fig.show() 

Output:


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