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Matplotlib.axis.Axis.properties() function in Python

Last Updated : 11 Jun, 2020
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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.properties() Function


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

Syntax: Axis.properties(self) 

Parameters: This method does not accepts any parameters. 

Return value: This method return dictionary of all the properties of the artist. 


Below examples illustrate the matplotlib.axis.Axis.properties() 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   
        
  
xx = np.random.rand(5, 7)   
        
fig, ax = plt.subplots()   
        
m = ax.pcolor(xx)   
m.set_zorder(2)  
    
w = Axis.properties(ax)  
print("Display all Properties\n")  
for i in w:  
    print(i, ":", w[i]) 

fig.suptitle('matplotlib.axis.Axis.properties() \
function Example\n', 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 : [<matplotlib.collections.PolyCollection object at 0x098F9810>, <matplotlib.spines.Spine object at 0x087152B0>, <matplotlib.spines.Spine object at 0x08715350>, <matplotlib.spines.Spine object at 0x087153F0>, <matplotlib.spines.Spine object at 0x08715490>, <matplotlib.axis.XAxis object at 0x08715230>, <matplotlib.axis.YAxis object at 0x08715710>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0873B150>] 
clip_box : None 
clip_on : True 
clip_path : None 
contains : None 
data_ratio : 0.7142857142857143 
default_bbox_extra_artists : [<matplotlib.collections.PolyCollection object at 0x098F9810>, <matplotlib.spines.Spine object at 0x087152B0>,<matplotlib.spines.Spine object at 0x08715350>, <matplotlib.spines.Spine object at 0x087153F0>, <matplotlib.spines.Spine object at 0x08715490>, <matplotlib.axis.XAxis object at 0x08715230>, <matplotlib.axis.YAxis object at 0x08715710>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0873B150>] 
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 0x085CE210> 
shared_y_axes :<matplotlib.cbook.Grouper object at 0x085CE270> 
sketch_params : None 
snap : None 
subplotspec : <matplotlib.gridspec.SubplotSpec object at 0x079122B0> 
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=7.0, y1=5.0), 
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, 7.0) 
xgridlines : <a list of 8 Line2D gridline objects> 
xlabel : 
xlim : (0.0, 7.0) 
xmajorticklabels : <a list of 8 Text major ticklabel objects> 
xminorticklabels : <a list of 0 Text minor ticklabel objects> 
xscale : linear 
xticklabels : <a list of 8 Text major ticklabel objects> 
xticklines : <a list of 16 Line2D ticklines objects> 
xticks : [0. 1. 2. 3. 4. 5. 6. 7.] 
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=7.0, y1=5.0), 
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, 5.0) 
ygridlines : <a list of 6 Line2D gridline objects> 
ylabel : 
ylim : (0.0, 5.0) 
ymajorticklabels : <a list of 6 Text major ticklabel objects> 
yminorticklabels : <a list of 0 Text minor ticklabel objects> 
yscale : linear 
yticklabels : <a list of 6 Text major ticklabel objects> 
yticklines : <a list of 12 Line2D ticklines objects> 
yticks : [0. 1. 2. 3. 4. 5.] 
zorder : 0 
 


Example 2:

Python3 
# Implementation of matplotlib function
from matplotlib.axis import Axis
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 = Axis.properties(ax)  
print("Display all Properties\n")  
for i in w:  
    print(i, ":", w[i]) 
    
fig.suptitle('matplotlib.axis.Axis.properties() \
function Example\n', 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 : [<matplotlib.collections.LineCollection object at 0x0AAFA810>, <matplotlib.lines.Line2D object at 0x0AAFA7F0>, <matplotlib.spines.Spine object at 0x081762D0>, <matplotlib.spines.Spine object at 0x08176370>, <matplotlib.spines.Spine object at 0x08176410>, <matplotlib.spines.Spine object at 0x081764B0>, <matplotlib.axis.XAxis object at 0x08176250>, <matplotlib.axis.YAxis object at 0x081766F0>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0819D130>] 
clip_box : None 
clip_on : True 
clip_path : None 
contains : None 
data_ratio : 0.007741698372824119 
default_bbox_extra_artists : [<matplotlib.collections.LineCollection object at 0x0AAFA810>, <matplotlib.lines.Line2D object at 0x0AAFA7F0>, <matplotlib.spines.Spine object at 0x081762D0>, <matplotlib.spines.Spine object at 0x08176370>, <matplotlib.spines.Spine object at 0x08176410>, <matplotlib.spines.Spine object at 0x081764B0>, <matplotlib.axis.XAxis object at 0x08176250>, <matplotlib.axis.YAxis object at 0x081766F0>, Text(0.5, 1.0, ''), Text(0.0, 1.0, ''), Text(1.0, 1.0, ''), <matplotlib.patches.Rectangle object at 0x0819D130>] 
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 0x0802E210> 
shared_y_axes : <matplotlib.cbook.Grouper object at 0x0802E270> 
sketch_params : None 
snap : None 
subplotspec : <matplotlib.gridspec.SubplotSpec object at 0x073722F0> 
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 
 


 


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Matplotlib.axis.Axis.pickable() function in Python

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