Matplotlib是Python中令人驚歎的可視化庫,用於二維陣列圖。 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.PathPatch
的 matplotlib.patches.PathPatch
用於繪製常規多曲線路徑補丁的類。
用法: class matplotlib.patches.PathPatch(path, **kwargs)
參數:
- path:路徑是
matplotlib.path.Path
Object 。
下表列出了有效的kwargs參數列表:
PROPERTY | DESCRIPTION |
---|---|
agg_filter | 一個過濾器函數,它使用一個(m,n,3)浮點數組和一個dpi值來返回一個(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
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()
輸出:
範例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()
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.PathPatch 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。