Matplotlib.axes.Axes.properties() in Python

Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.properties() Function

The Axes.properties() function in axes module of matplotlib library is used to get the dictionary of all the properties of the artist..

Syntax: Axes.properties(self) Parameters: This method does not accepts any parameters. Returns: This method return dictionary of all the properties of the artist.

Below examples illustrate the matplotlib.axes.Axes.properties() function in matplotlib.axes: Example 1:

Python3

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
    
xx = np.random.rand(16, 30) 
    
fig, ax = plt.subplots() 
    
m = ax.pcolor(xx) 
m.set_zorder(-20)

w = ax.properties()
print("Display all Properties\n")
for i in w:
    print(i, ":", w[i])
 
fig.suptitle('matplotlib.axes.Axes.properties()\
 function Example', fontweight ="bold") 

plt.show()

Output:

Display all Properties adjustable : box agg_filter : None alpha : None anchor : C animated : False aspect : auto autoscale_on : True autoscalex_on : True autoscaley_on : True axes_locator : None axisbelow : line children : [,,,,,,, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), ] clip_box : None clip_on : True clip_path : None contains : None data_ratio : 0.5333333333333333 default_bbox_extra_artists : [,,,,,,, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), ] facecolor : (1.0, 1.0, 1.0, 1.0) fc : (1.0, 1.0, 1.0, 1.0) figure : Figure(640x480) frame_on : True geometry : (1, 1, 1) gid : None gridspec : GridSpec(1, 1) images : <a> in_layout : True label : legend : None legend_handles_labels : ([], []) lines : <a> navigate : True navigate_mode : None path_effects : [] picker : None position : Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88) rasterization_zorder : None rasterized : None renderer_cache : None shared_x_axes : shared_y_axes : sketch_params : None snap : None subplotspec : title : transform : IdentityTransform() transformed_clip_path_and_affine : (None, None) url : None visible : True window_extent : TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) xaxis : XAxis(80.0, 52.8) xaxis_transform : BlendedGenericTransform( CompositeGenericTransform( TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())), CompositeGenericTransform( BboxTransformFrom( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=30.0, y1=16.0), TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))))) xbound : (0.0, 30.0) xgridlines : <a> xlabel : xlim : (0.0, 30.0) xmajorticklabels : <a> xminorticklabels : <a> xscale : linear xticklabels : <a> xticklines : <a> xticks : [ 0. 5. 10. 15. 20. 25. 30.] yaxis : YAxis(80.0, 52.8) yaxis_transform : BlendedGenericTransform( BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))), CompositeGenericTransform( TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())), CompositeGenericTransform( BboxTransformFrom( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=30.0, y1=16.0), TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))))))) ybound : (0.0, 16.0) ygridlines : <a> ylabel : ylim : (0.0, 16.0) ymajorticklabels : <a> yminorticklabels : <a> yscale : linear yticklabels : <a> yticklines : <a> yticks : [ 0. 2. 4. 6. 8. 10. 12. 14. 16.] zorder : 0

Example 2:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
      
np.random.seed(10**7)
geeks = np.random.randn(100)
 
fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
         normed = True,
         maxlags = 80, lw = 3)

ax.grid(True)

w = ax.properties()
print("Display all Properties\n")
for i in w:
    print(i, ":", w[i])
 
fig.suptitle('matplotlib.axes.Axes.properties()\
function Example', fontweight ="bold") 

plt.show()

Output:

Display all Properties adjustable : box agg_filter : None alpha : None anchor : C animated : False aspect : auto autoscale_on : True autoscalex_on : True autoscaley_on : True axes_locator : None axisbelow : line children : [,,,,,,,, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), ] clip_box : None clip_on : True clip_path : None contains : None data_ratio : 0.007741698372824119 default_bbox_extra_artists : [,,,,,,,, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), ] facecolor : (1.0, 1.0, 1.0, 1.0) fc : (1.0, 1.0, 1.0, 1.0) figure : Figure(640x480) frame_on : True geometry : (1, 1, 1) gid : None gridspec : GridSpec(1, 1) images : <a> in_layout : True label : legend : None legend_handles_labels : ([], []) lines : <a> navigate : True navigate_mode : None path_effects : [] picker : None position : Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88) rasterization_zorder : None rasterized : None renderer_cache : None shared_x_axes : shared_y_axes : sketch_params : None snap : None subplotspec : title : transform : IdentityTransform() transformed_clip_path_and_affine : (None, None) url : None visible : True window_extent : TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))) xaxis : XAxis(80.0, 52.8) xaxis_transform : BlendedGenericTransform( CompositeGenericTransform( TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())), CompositeGenericTransform( BboxTransformFrom( TransformedBbox( Bbox(x0=-88.0, y0=-0.300605326634452, x1=88.0, y1=1.061933586982593), TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))))) xbound : (-88.0, 88.0) xgridlines : <a> xlabel : xlim : (-88.0, 88.0) xmajorticklabels : <a> xminorticklabels : <a> xscale : linear xticklabels : <a> xticklines : <a> xticks : [-100. -80. -60. -40. -20. 0. 20. 40. 60. 80. 100.] yaxis : YAxis(80.0, 52.8) yaxis_transform : BlendedGenericTransform( BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]]))))), CompositeGenericTransform( TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())), CompositeGenericTransform( BboxTransformFrom( TransformedBbox( Bbox(x0=-88.0, y0=-0.300605326634452, x1=88.0, y1=1.061933586982593), TransformWrapper( BlendedAffine2D( IdentityTransform(), IdentityTransform())))), BboxTransformTo( TransformedBbox( Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88), BboxTransformTo( TransformedBbox( Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8), Affine2D( [[100. 0. 0.] [ 0. 100. 0.] [ 0. 0. 1.]])))))))) ybound : (-0.300605326634452, 1.061933586982593) ygridlines : <a> ylabel : ylim : (-0.300605326634452, 1.061933586982593) ymajorticklabels : <a> yminorticklabels : <a> yscale : linear yticklabels : <a> yticklines : <a> yticks : [-0.4 -0.2 0. 0.2 0.4 0.6 0.8 1. 1.2] zorder : 0

Matplotlib.axes.Axes.pcolor() in Python

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