Matplotlib是Python中的一個庫,它是數字的-NumPy庫的數學擴展。它是Python中令人驚歎的可視化庫,用於數組的2D圖,並用於與更廣泛的SciPy堆棧配合使用。
Matplotlib.axis.Axis.set_path_effects()函數
matplotlib庫的軸模塊中的Axis.set_path_effects()函數用於設置路徑效果。
用法: Axis.set_path_effects(self, path_effects)
參數:此方法接受以下參數。
- path_effects:此參數是AbstractPathEffect。
返回值:此方法不返回任何值。
以下示例說明了matplotlib.axis中的matplotlib.axis.Axis.set_path_effects()函數:
範例1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.patheffects as path_effects
fig, ax = plt.subplots()
t = ax.text(0.02, 0.5,
'GeeksForGeeks',
fontsize = 40,
weight = 1000,
va ='center')
Axis.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4),
hatch ='xxxx',
facecolor ='lightgreen'),
path_effects.PathPatchEffect(edgecolor ='white',
linewidth = 1.1,
facecolor ='blue')])
fig.suptitle('matplotlib.axis.Axis.set_path_effects() \
function Example\n', fontweight ="bold")
plt.show()
輸出:
範例2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import matplotlib.patheffects as PathEffects
import numpy as np
fig, ax1 = plt.subplots()
ax1.imshow([[1, 2], [2, 3]])
txt = ax1.annotate("Fourth Qaud",
(1., 1.),
(0., 0),
arrowprops = dict(arrowstyle ="->",
connectionstyle ="angle3",
lw = 2),
size = 20, ha ="center",
path_effects =[PathEffects.withStroke(linewidth = 3,
foreground ="w")])
Axis.set_path_effects(txt.arrow_patch, [
PathEffects.Stroke(linewidth = 5,
foreground ="w"),
PathEffects.Normal()])
ax1.grid(True, linestyle ="-")
pe = [PathEffects.withStroke(linewidth = 3,
foreground ="w")]
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
Axis.set_path_effects(l, pe)
fig.suptitle('matplotlib.axis.Axis.set_path_effects() \
function Example\n', fontweight ="bold")
plt.show()
輸出:
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注:本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.axis.Axis.set_path_effects() function 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。