Matplotlib是Python中的一個庫，它是數字的-NumPy庫的數學擴展。軸類包含大多數圖形元素：Axis，Tick，Line2D，Text，Polygon等，並設置坐標係。 Axes實例通過callbacks屬性支持回調。
matplotlib.axes.Axes.get_facecolor()函數
matplotlib庫的axes模塊中的Axes.get_facecolor()函數用於獲取軸的麵色。
用法： Axes.get_facecolor(self)
參數：此方法不接受任何參數。
返回：此方法返回軸的麵色值。
以下示例說明了matplotlib.axes中的matplotlib.axes.Axes.get_facecolor()函數：
範例1：
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(-5, 5, 0.01)
y1 = -3 * x*x + 10 * x + 10
y2 = 3 * x*x + x
fig, ax = plt.subplots()
ax.plot(x, y1, x, y2, color ='black')
ax.fill_between(x, y1, y2, where = y2 >y1,
facecolor ='green', alpha = 0.8)
ax.fill_between(x, y1, y2, where = y2 <= y1,'
facecolor ='black', alpha = 0.8)
x = ax.get_facecolor()
ax.text(-2, 80, "Value of facecolor:" +str(x),
style ='italic', fontsize = 10,
color ="green")
ax.set_title('matplotlib.axes.Axes.get_facecolor()\
Example\n', fontsize = 12, fontweight ='bold')
plt.show()輸出：
範例2：
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
data = ((30, 1000), (10, 28), (100, 30),
(500, 800), (50, 10))
dim = len(data[0])
w = 0.6
dimw = w / dim
fig, ax = plt.subplots()
x = np.arange(len(data))
for i in range(len(data[0])):
y = [d[i] for d in data]
b = ax.bar(x + i * dimw, y, dimw, bottom = 0.001)
ax.set_xticks(x + dimw / 2)
ax.set_xticklabels(map(str, x))
ax.set_yscale('log')
x = ax.get_facecolor()
ax.text(1, 2.3*(10**3), "Value of facecolor:" +str(x),
style ='italic', fontsize = 10,
color ="green")
ax.set_title('matplotlib.axes.Axes.get_facecolor()\
Example\n', fontsize = 12, fontweight ='bold')
plt.show()輸出：
注：本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.axes.Axes.get_facecolor() 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。