Python Matplotlib.patches.RegularPolygon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.RegularPolygon

這個matplotlib.patches.RegularPolygon類用於添加常規多邊形麵片。

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

參數：

xy:中心的長度2個元組(x，y)。
numVertices:它表示頂點數。
radius:從中心到每個頂點的距離。
orientation:用於旋轉多邊形(以弧度為單位)。

下表列出了有效的kwarg；

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 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()

輸出：

範例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()

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.RegularPolygon 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。