Python Matplotlib.axis.Axis.properties()用法及代码示例

Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。它是Python中令人惊叹的可视化库，用于数组的2D图，并用于与更广泛的SciPy堆栈配合使用。

matplotlib.axis.Axis.properties()函数

matplotlib库的axis模块中的Axis.properties()函数用于获取艺术家所有属性的字典。

用法： Axis.properties(self) 

以下示例说明了matplotlib.axis中的matplotlib.axis.Axis.properties()函数：
范例1：

# 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() 

输出：

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 
 

范例2：

# 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() 

输出：

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