Python Matplotlib.patches.Circle用法及代碼示例

Matplotlib是Python中令人驚歎的可視化庫，用於數組的二維圖。 Matplotlib是一個基於NumPy數組的多平台數據可視化庫，旨在與更廣泛的SciPy堆棧配合使用。

matplotlib.patches.Circle

這個matplotlib.patches.Circle類用於在給定的中心創建圓形補丁xy = (x, y)具有給定的半徑。它使用貝塞爾曲線樣條曲線，並且更接近scale-free圓。

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

parameters:

xy：它是圓的中心。
半徑：它設置要繪製的圓的半徑。其默認值為5個單位，並且是可選的。

下表提供了可選的有效kwargs；

PROPERTY	DESCRIPTION
agg_filter	一個過濾器函數，它接受一個(m，n，3)浮點數組，一個dpi值返回一個(m，n，3)數組
alpha	浮點數或無
animated	bool
抗鋸齒或抗鋸齒	unknown
capstyle	{‘butt’，“回合”，‘projecting’}
clip_box	Bbox
clip_on	bool
clip_path	[(Path，Transform)\|補丁\|無]
color	rgba元組的顏色或順序
contains	callable
edgecolor或ec或edgecolors	顏色或無或‘auto’
facecolor或fc或facecolors	顏色或無
figure	figure
fill	bool
gid	str
hatch	{‘/’、‘\’、‘\|’、‘-’、‘+’、‘x’, ‘o’、‘O’、‘.’、‘*’}
in_layout	bool
joinstyle	{‘miter’，“回合”，‘bevel’}
線型或ls	{“-”，“-”，“-。”，“：”，“，(偏移量，on-off-seq)，...}
線寬或線寬或lw	浮點數或無
path_effects	AbstractPathEffect
picker	無或布爾或浮點數或可贖回
path_effects	AbstractPathEffect
picker	float或callable [[Artist，Event]，Tuple [bool，dict]]
rasterized	布爾還是無
sketch_params	(比例：浮點數，長度：浮點數，隨機性：浮點數)
snap	布爾還是無
transform	matplotlib.transforms.Transform
url	str
visible	bool
zorder	float

範例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()

輸出：

範例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])

輸出：

相關用法

注：本文由純淨天空篩選整理自RajuKumar19大神的英文原創作品 Matplotlib.patches.Circle class in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。