Python中的 Matplotlib.patches.CirclePolygon 类

Matplotlib是Python中用于数组二维图的惊人可视化库。 Matplotlib 是一个基于 NumPy 数组构建的多平台数据可视化库，旨在与更广泛的 SciPy 堆栈配合使用。

matplotlib.patches.CirclePolygon

matplotlib.patches.CirclePolygon类用于圆形补丁的多边形近似。它用于在xy = (x, y)处创建一个具有已提供半径的圆。具有分辨率边的正多边形近似于该圆。

Syntax: class matplotlib.patches.CirclePolygon(xy, radius=5, resolution=20, **kwargs)

Parameters:

• xy: The origin coordinate of the circle to be drawn.
• radius: It’s an optional parameter that is used to set the radius of the circle.It defaults to 5 units.
• resolution: As the name suggest it is used to set the image resolution. It is optional and defaults to 20.

下表提供了可选的有效 kwargs ；

PROPERTY	DESCRIPTION
agg_filter	a filter function that takes a (m, n, 3) float array and a dpi value that returns a (m, n, 3) array
alpha	float or None
animated	bool
antialiased or aa	unknown
capstyle	{‘butt’, ’round’, ‘projecting’}
clip_box	Bbox
clip_on	bool
clip_path	[(Path, Transform)|Patch|None]
color	color or sequence of rgba tuples
contains	callable
edgecolor or ec or edgecolors	color or None or ‘auto’
facecolor or fc or facecolors	color or None
figure	figure
fill	bool
gid	str
hatch	{‘/’, ‘\’, ‘|’, ‘-‘, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’}
in_layout	bool
joinstyle	{‘miter’, ’round’, ‘bevel’}
linestyle or ls	{‘-‘, ‘–‘, ‘-.’, ‘:’, ”, (offset, on-off-seq), …}
linewidth or linewidths or lw	float or None
path_effects	AbstractPathEffect
picker	None or bool or float or callable
path_effects	AbstractPathEffect
picker	float or callable[[Artist, Event], Tuple[bool, dict]]
rasterized	bool or None
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
transform	matplotlib.transforms.Transform
url	str
visible	bool
zorder	float

示例 1：

import matplotlib.pyplot as plt
from matplotlib.patches import CirclePolygon
  
  
circle = CirclePolygon((0, 0), 
                       radius = 0.75,
                       fc = 'y')
  
plt.gca().add_patch(circle)
  
verts = circle.get_path().vertices
trans = circle.get_patch_transform()
points = trans.transform(verts)
  
plt.plot(points[:, 0], points[:, 1])
plt.axis('scaled')
  
plt.show()

输出：

示例 2：

import numpy as np
import matplotlib
from matplotlib.patches import Circle, Wedge, Polygon, Ellipse
from matplotlib.collections import PatchCollection
import matplotlib.pyplot as plt
import matplotlib.patches as matpatches
  
  
fig, ax = plt.subplots(figsize =(8, 8))
patches = []
  
  
circle = Circle((2, 2), 2)
patches.append(circle)
  
  
  
polygon = matpatches.PathPatch(patches[0].get_path())
patches.append(polygon)
  
  
colors = 2 * np.random.rand(len(patches))
p = PatchCollection(patches, 
                    cmap = matplotlib.cm.jet,
                    alpha = 0.4)
  
p.set_array(np.array(colors))
ax.add_collection(p)
  
plt.axis([-10, 10, -10, 10])
  
plt.show()

输出：