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:
Python3
# 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:
Python3
# 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:
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.