Python 中的 matplotlib . figure . figure . get _ 紧绷 _layout()
原文:https://www . geesforgeks . org/matplotlib-figure-figure-get _ 紧绷 _ python 中的布局/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。人物模块提供了顶级的艺术家，人物，包含了所有的剧情元素。该模块用于控制所有情节元素的子情节和顶层容器的默认间距。
matplotlib . figure . figure . get _ 紧绷 _layout()方法
matplotlib 库的 get _ 紧绷 _layout()方法图形模块用于检查绘图时是否调用紧绷 _layout。
语法: get_size_inches(self)
参数:此方法不接受任何参数。
返回:该方法返回是否调用了紧密 _layout。
下面的例子说明了 matplotlib.figure . figure . get _ 紧绷 _layout()函数在 matplotlib . figure 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()
fig.tight_layout()
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)
w = fig.get_tight_layout()
ax.text(-3, -80,
"Value Return by get_tight_layout() : "
+ str(w),
fontweight ="bold")
fig.canvas.draw()
fig.suptitle('matplotlib.figure.Figure.get_tight_layout()\
function Example', fontweight ="bold")
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
# Create triangulation.
x = np.asarray([0, 1, 2, 3, 0.5,
1.5, 2.5, 1, 2,
1.5])
y = np.asarray([0, 0, 0, 0, 1.0,
1.0, 1.0, 2, 2,
3.0])
triangles = [[0, 1, 4], [1, 5, 4],
[2, 6, 5], [4, 5, 7],
[5, 6, 8], [5, 8, 7],
[7, 8, 9], [1, 2, 5],
[2, 3, 6]]
triang = mtri.Triangulation(x, y, triangles)
z = np.cos(1.5 * x) * np.cos(1.5 * y)
fig, axs = plt.subplots()
axs.tricontourf(triang, z)
axs.triplot(triang, 'go-', color ='white')
fig.tight_layout(rect =(0.1, 0.1, 0.95, 0.95))
w = fig.get_tight_layout()
axs.text(.7, 2.8,
"Value Return by get_tight_layout() : "
+ str(w),
fontweight ="bold")
fig.canvas.draw()
fig.suptitle('matplotlib.figure.Figure.get_tight_layout() \
function Example', fontweight ="bold")
plt.show()
输出:
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