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:

   # 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(640×480)
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:

   # 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(640×480)
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.plot() in Python

SHUBHAMSINGH10

Improve

Article Tags :

Practice Tags :

python

Matplotlib.axes.Axes.properties() in Python

matplotlib.axes.Axes.properties() Function

Similar Reads