Matplotlib.artist.Artist.properties() in Python

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

# Implementation of matplotlib function
from matplotlib.artist import Artist
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 = Artist.properties(ax) 
print("Display all Properties\n") 
for i in w: 
    print(i, ":", w[i]) 
    
fig.suptitle('matplotlib.artist.Artist.properties() \
function Example', fontweight ="bold") 

plt.show()

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 : [<matplotlib.collections.PolyCollection object at 0x0ABB8470>, <.spines.Spine object at 0x08221EF0>, <matplotlib.spines.Spine object at 0x08221F90>, <matplotlib.spines.Spine object at 0x08237050>, <matplotlib.spines.Spine object at 0x082370F0>, <matplotlib.axis.XAxis object at 0x08221E70>, <matplotlib.axis.YAxis object at 0x08237370>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0824CD90>] clip_box : None clip_on : True clip_path : None contains : None data_ratio : 0.5333333333333333 default_bbox_extra_artists : [<matplotlib.collections.PolyCollection object at 0x0ABB8470>, <matplotlib.spines.Spine object at 0x08221EF0>, <matplotlib.spines.Spine object at 0x08221F90>, <matplotlib.spines.Spine object at 0x08237050>, <matplotlib.spines.Spine object at 0x082370F0>, <matplotlib.axis.XAxis object at 0x08221E70>, <matplotlib.axis.YAxis object at 0x08237370>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0824CD90>] 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 list of 0 AxesImage objects> in_layout : True label : legend : None legend_handles_labels : ([], []) lines : <a list of 0 Line2D objects> 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 :<matplotlib.cbook.Grouper object at 0x080ACD70> shared_y_axes : <matplotlib.cbook.Grouper object at 0x080B8BB0> sketch_params : None snap : None subplotspec : <matplotlib.gridspec.SubplotSpec object at 0x07428ED0> 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 list of 7 Line2D gridline objects> xlabel : xlim : (0.0, 30.0) xmajorticklabels : <a list of 7 Text major ticklabel objects> xminorticklabels : <a list of 0 Text minor ticklabel objects> xscale : linear xticklabels : <a list of 7 Text major ticklabel objects> xticklines : <a list of 14 Line2D ticklines objects> 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 list of 9 Line2D gridline objects> ylabel : ylim : (0.0, 16.0) ymajorticklabels : <a list of 9 Text major ticklabel objects> yminorticklabels : <a list of 0 Text minor ticklabel objects> yscale : linear yticklabels : <a list of 9 Text major ticklabel objects> yticklines : <a list of 18 Line2D ticklines objects> yticks : [ 0. 2. 4. 6. 8. 10. 12. 14. 16.] zorder : 0

# Implementation of matplotlib function
from matplotlib.artist import Artist
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 = Artist.properties(ax) 
print("Display all Properties\n") 
for i in w: 
    print(i, ":", w[i]) 
    
fig.suptitle('matplotlib.artist.Artist.properties() \
function Example', fontweight ="bold") 

plt.show()

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 : [<matplotlib.collections.LineCollection object at 0x0AAE84F0>, <matplotlib.lines.Line2D object at 0x0AAE84D0>, <matplotlib.spines.Spine object at 0x08151F50>, <matplotlib.spines.Spine object at 0x08151FF0>, <matplotlib.spines.Spine object at 0x081670B0>, <matplotlib.spines.Spine object at 0x08167150>, <matplotlib.axis.XAxis object at 0x08151ED0>, <matplotlib.axis.YAxis object at 0x081673D0>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0817CDF0>] clip_box : None clip_on : True clip_path : None contains : None data_ratio : 0.007741698372824119 default_bbox_extra_artists : [<matplotlib.collections.LineCollection object at 0x0AAE84F0>, <matplotlib.lines.Line2D object at 0x0AAE84D0>, <matplotlib.spines.Spine object at 0x08151F50>, <matplotlib.spines.Spine object at 0x08151FF0>, <matplotlib.spines.Spine object at 0x081670B0>, <matplotlib.spines.Spine object at 0x08167150>, <matplotlib.axis.XAxis object at 0x08151ED0>, <matplotlib.axis.YAxis object at 0x081673D0>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0817CDF0>] 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 list of 0 AxesImage objects> in_layout : True label : legend : None legend_handles_labels : ([], []) lines : <a list of 1 Line2D objects> 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 : <matplotlib.cbook.Grouper object at 0x07FDCDB0> shared_y_axes : <matplotlib.cbook.Grouper object at 0x07FE8BF0> sketch_params : None snap : None subplotspec : <matplotlib.gridspec.SubplotSpec object at 0x07358F70> 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 list of 11 Line2D gridline objects> xlabel : xlim : (-88.0, 88.0) xmajorticklabels :<a list of 11 Text major ticklabel objects> xminorticklabels : <a list of 0 Text minor ticklabel objects> xscale : linear xticklabels : <a list of 11 Text major ticklabel objects> xticklines : <a list of 22 Line2D ticklines objects> 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 list of 9 Line2D gridline objects> ylabel : ylim : (-0.300605326634452, 1.061933586982593) ymajorticklabels : <a list of 9 Text major ticklabel objects> yminorticklabels : <a list of 0 Text minor ticklabel objects> yscale : linear yticklabels : <a list of 9 Text major ticklabel objects> yticklines : <a list of 18 Line2D ticklines objects> yticks : [-0.4 -0.2 0. 0.2 0.4 0.6 0.8 1. 1.2] zorder : 0