Matplotlib.axes.Axes.properties() in Python
Last Updated :
12 Jul, 2025
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()
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()
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
Explore
Python Fundamentals
Python Data Structures
Advanced Python
Data Science with Python
Web Development with Python
Python Practice