Python 中的 matplotlib . axis . axis . properties()函数
原文:https://www . geeksforgeeks . org/matplotlib-axis-axis-properties-function-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库，用于 2D 数组图，并用于处理更广泛的 SciPy 堆栈。
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。
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.
以下示例说明 matplotlib . axis . axis . properties()函数在 matplotlib.axis: 示例 1:
Python 3
# 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
例 2:
Python 3
# 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
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