matplotlib.axes.get_face color()用 Python
表示
哎哎哎:# t0]https://www.geeksforgeeks.org/matplotlib-axes-get_face color-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。轴类包含了大部分的图形元素:轴、刻度、线二维、文本、多边形等。，并设置坐标系。Axes 的实例通过回调属性支持回调。
matplotlib.axes.axes.get_face color()函数
matplotlib 库的 axes 模块中的 Axes.get_facecolor()函数用于获取 Axes 的 facecolor..
语法: Axes.get_facecolor(self)
参数:此方法不接受任何参数。
返回:该方法返回坐标轴的面颜色值。
下面的例子说明了 matplotlib.axes.axes.get_face color()函数在 matplotlib.axes 中的作用:
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()
输出:
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()
输出:
