Python Matplotlib.patches.RegularPolygon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.RegularPolygon

这个matplotlib.patches.RegularPolygon类用于添加常规多边形面片。

用法： class matplotlib.patches.RegularPolygon(xy, numVertices, radius=5, orientation=0, **kwargs)

参数：

xy:中心的长度2个元组(x，y)。
numVertices:它表示顶点数。
radius:从中心到每个顶点的距离。
orientation:用于旋转多边形(以弧度为单位)。

下表列出了有效的kwarg；

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 matplotlib.pyplot as plt 
from matplotlib.patches import RegularPolygon 
import numpy as np 
  
  
coord = [[0, 0, 0], 
         [0, 1, -1],  
         [-1, 1, 0], 
         [-1, 0, 1],  
         [0, -1, 1], 
         [1, -1, 0], 
         [1, 0, -1]] 
  
colors = [["Green"], 
          ["Green"],  
          ["Green"], 
          ["Green"], 
          ["Green"], 
          ["Green"], 
          ["Green"]] 
  
labels = [['1'], ['2'],  
          ['3'], ['4'],  
          ['5'], ['6'], 
          ['7']] 
  
# Horizontal cartesian coords 
hcoord =  for c in coord] 
  
# Vertical cartersian coords 
vcoord = [2. * np.sin(np.radians(60)) * (c[1] - c[2]) /3.
          for c in coord] 
  
fig, ax = plt.subplots(1) 
ax.set_aspect('equal') 
  
# Add some coloured hexagons 
for x, y, c, l in zip(hcoord, vcoord, colors, labels):
      
    # matplotlib understands lower  
    # case words for colours 
    color = c[0].lower() 
    hex = RegularPolygon((x, y), 
                         numVertices = 6,  
                         radius = 2. / 3.,  
                         orientation = np.radians(30),  
                         facecolor = color, 
                         alpha = 0.2, 
                         edgecolor ='k') 
      
    ax.add_patch(hex) 
      
    # Also add a text label 
    ax.text(x, y + 0.2, l[0], ha ='center', 
            va ='center', size = 20) 
  
# add scatter points in hexagon centres 
ax.scatter(hcoord, vcoord, c =.lower()  
                               for c in colors],  
           alpha = 0.5) 
  
plt.show()

输出：

范例2：

import matplotlib.pyplot as plt 
from matplotlib.patches import RegularPolygon 
from matplotlib.collections import PatchCollection 
import numpy as np 
  
  
xy = np.random.random((10, 2)) 
z = np.random.random(10) 
  
patches = [RegularPolygon((x, y), 
                          5, 0.1) 
           for x, y in xy] 
  
collection = PatchCollection(patches, 
                             array = z, 
                             edgecolors ='brown', 
                             lw = 2) 
  
fig, ax = plt.subplots() 
  
ax.patch.set(facecolor ='green') 
ax.add_collection(collection) 
ax.autoscale() 
  
plt.show()

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.RegularPolygon 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。