Python Matplotlib.patches.Circle用法及代码示例

Matplotlib是Python中令人惊叹的可视化库，用于数组的二维图。 Matplotlib是一个基于NumPy数组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.Circle

这个matplotlib.patches.Circle类用于在给定的中心创建圆形补丁xy = (x, y)具有给定的半径。它使用贝塞尔曲线样条曲线，并且更接近scale-free圆。

用法： class matplotlib.patches.Circle(xy, radius=5, **kwargs)

parameters:

xy：它是圆的中心。
半径：它设置要绘制的圆的半径。其默认值为5个单位，并且是可选的。

下表提供了可选的有效kwargs；

PROPERTY	DESCRIPTION
agg_filter	一个过滤器函数，它接受一个(m，n，3)浮点数组，一个dpi值返回一个(m，n，3)数组
alpha	浮点数或无
animated	bool
抗锯齿或抗锯齿	unknown
capstyle	{‘butt’，“回合”，‘projecting’}
clip_box	Bbox
clip_on	bool
clip_path	[(Path，Transform)\|补丁\|无]
color	rgba元组的颜色或顺序
contains	callable
edgecolor或ec或edgecolors	颜色或无或‘auto’
facecolor或fc或facecolors	颜色或无
figure	figure
fill	bool
gid	str
hatch	{‘/’、‘\’、‘\|’、‘-’、‘+’、‘x’, ‘o’、‘O’、‘.’、‘*’}
in_layout	bool
joinstyle	{‘miter’，“回合”，‘bevel’}
线型或ls	{“-”，“-”，“-。”，“：”，“，(偏移量，on-off-seq)，...}
线宽或线宽或lw	浮点数或无
path_effects	AbstractPathEffect
picker	无或布尔或浮点数或可赎回
path_effects	AbstractPathEffect
picker	float或callable [[Artist，Event]，Tuple [bool，dict]]
rasterized	布尔还是无
sketch_params	(比例：浮点数，长度：浮点数，随机性：浮点数)
snap	布尔还是无
transform	matplotlib.transforms.Transform
url	str
visible	bool
zorder	float

范例1：

import numpy as np 
from matplotlib.patches import Circle 
from matplotlib.collections import PatchCollection 
import matplotlib.pyplot as plt 
from matplotlib import cm 
from matplotlib import animation 
  
  
fig, ax = plt.subplots() 
  
patches = [] 
# create circles with random sizes  
# and locations 
N = 12 # number of circles 
x = np.random.rand(N) 
y = np.random.rand(N) 
radii = 0.1 * np.random.rand(N) 
for x1, y1, r in zip(x, y, radii):
    circle = Circle((x1, y1), r) 
    patches.append(circle) 
  
# add these circles to a collection 
p = PatchCollection(patches, cmap = cm.prism, alpha = 0.4) 
ax.add_collection(p) 
  
def animate(i):
      
    # random index to color map 
    colors = 100 * np.random.rand(len(patches)) 
      
    # set new color colors 
    p.set_array(np.array(colors)) 
    return p, 
  
ani = animation.FuncAnimation(fig, animate, 
                              frames = 50, interval = 50) 
  
plt.show()

输出：

范例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() 
  
  
contain2 = patches[0].get_path().contains_points([[0.5, 0.5],  
                                                  [1.0, 1.0]]) 
contain3 = patches[0].contains_point([0.5, 0.5]) 
contain4 = patches[0].contains_point([1.0, 1.0])

输出：

相关用法

注：本文由纯净天空筛选整理自RajuKumar19大神的英文原创作品 Matplotlib.patches.Circle class in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。