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

Last Updated : 11 Jun, 2020

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(640×480)
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(640×480)
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

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

SHUBHAMSINGH10

Improve

Article Tags :

Practice Tags :

python

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