Matplotlib是Python中令人惊叹的可视化库，用于二维阵列图。 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.PathPatch
的 matplotlib.patches.PathPatch用于绘制常规多曲线路径补丁的类。
用法： class matplotlib.patches.PathPatch(path, **kwargs)
参数：
- path:路径是
matplotlib.path.PathObject 。
下表列出了有效的kwargs参数列表：
| PROPERTY | DESCRIPTION |
|---|---|
| agg_filter | 一个过滤器函数，它使用一个(m，n，3)浮点数组和一个dpi值来返回一个(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
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.path import Path
from matplotlib.patches import PathPatch
delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
patch = PathPatch(path, facecolor ='none')
fig, ax = plt.subplots()
ax.add_patch(patch)
im = ax.imshow(Z, interpolation ='bilinear', cmap = cm.gray,
origin ='lower', extent =[-3, 3, -3, 3],
clip_path = patch, clip_on = True)
im.set_clip_path(patch)
plt.show()输出：
范例2：
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.path import Path
from matplotlib.patches import PathPatch
fig = plt.figure()
ax = fig.add_subplot(111, aspect ='equal')
path = Path([[0, 0], [0, 1], [1, 0], [0, 0]])
patch = PathPatch(path, facecolor ='none')
ax.add_patch(patch)
Z, Z2 = np.meshgrid(np.linspace(0, 1), np.linspace(0, 1))
im = plt.imshow(Z-Z2,
interpolation ='bilinear',
cmap = plt.cm.RdYlGn,
origin ='lower',
extent =[0, 1, 0, 1],
clip_path = patch,
clip_on = True)
im.set_clip_path(patch)
ax.set_xlim((0, 1))
ax.set_ylim((0, 1))
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.PathPatch 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。