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_figure() Function
The Axis.get_figure() function in axis module of matplotlib library is used to get the Figure instance the artist belongs to.
Syntax: Axis.get_figure(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the Figure instance the artist belongs to.
Below examples illustrate the matplotlib.axis.Axis.get_figure() function in matplotlib.axis:
Example 1:
# Implementation of matplotlib function from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as lines
import matplotlib.transforms as mtransforms
import matplotlib.text as mtext
class GFGfun(lines.Line2D):
def __init__( self , * args, * * kwargs):
self .text = mtext.Text( 0 , 0 , '')
lines.Line2D.__init__( self , * args, * * kwargs)
self .text.set_text( self .get_label())
def set_figure( self , figure):
self .text.set_figure(figure)
lines.Line2D.set_figure( self , figure)
def set_axes( self , axes):
self .text.set_axes(axes)
lines.Line2D.set_axes( self , axes)
def set_transform( self , transform):
# 2 pixel offset
texttrans = transform + mtransforms.Affine2D().translate( 2 , 2 )
self .text.set_transform(texttrans)
lines.Line2D.set_transform( self , transform)
def set_data( self , x, y):
if len (x):
self .text.set_position((x[ - 1 ], y[ - 1 ]))
lines.Line2D.set_data( self , x, y)
def draw( self , renderer):
lines.Line2D.draw( self , renderer)
self .text.draw(renderer)
np.random.seed( 10 * * 7 )
fig, ax = plt.subplots()
x, y = np.random.rand( 2 , 20 )
line = GFGfun(x, y, mfc = 'green' ,
ms = 12 ,
label = 'Label' )
line.text.set_color( 'green' )
line.text.set_fontsize( 16 )
ax.add_line(line) ax.text( 0.2 , 0.8 , "Value Return : "
+ str (Axis.get_figure(ax)),
fontweight = "bold" )
fig.suptitle( """matplotlib.axis.Axis.get_figure()
function Example\n""" , fontweight = "bold")
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as lines
import matplotlib.transforms as mtransforms
import matplotlib.text as mtext
class GFGfun(lines.Line2D):
def __init__( self , * args, * * kwargs):
self .text = mtext.Text( 0 , 0 , '')
lines.Line2D.__init__( self , * args, * * kwargs)
self .text.set_text( self .get_label())
def set_figure( self , figure):
self .text.set_figure(figure)
lines.Line2D.set_figure( self , figure)
np.random.seed( 10 * * 7 )
fig, ax = plt.subplots()
x, y = np.random.rand( 2 , 10 )
line = GFGfun(x, y,
mfc = 'green' , ms = 12 , label = 'Label' )
line.text.set_color( 'green' )
line.text.set_fontsize( 16 )
ax.add_line(line) ax.text( 0.2 , 0.8 , "Value Return : "
+ str (Axis.get_figure(ax)),
fontweight = "bold" )
fig.suptitle( """matplotlib.axis.Axis.get_figure()
function Example\n""" , fontweight = "bold")
plt.show() |
Output: