Python 中的 matplotlib . axes . axes . get _ legend _ handles _ labels()
原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-get _ legend _ handles _ labels-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 _ legend _ handles _ labels()函数
matplotlib 库的 Axes 模块中的axes . get _ legend _ handles _ labels()函数用于返回图例的句柄和标签。
语法:axes . get _ legend _ handles _ labels(自身)
参数:该方法不接受任何参数。
返回:该功能返回图例的手柄和标签。
下面的例子说明了 matplotlib.axes . axes . get _ legend _ handles _ labels()函数在 matplotlib . axes 中的作用:
例 1:
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
ax.plot([1, 6, 3, 8, 34, 13, 56, 67], color ="green")
h, l = ax.get_legend_handles_labels()
# print(h, l)
text ="Legend is present"
if h ==[]:
text ="No legend present"
else:
text+="and labels are : "+str(l)
ax.text(2.5, 60, text, fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_legend_handles_labels()\
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
for color in [ 'tab:green', 'tab:blue', 'tab:orange']:
n = 70
x, y = np.random.rand(2, n)
scale = 1000.0 * np.random.rand(n)
ax.scatter(x, y, c = color, s = scale, label = color,
alpha = 0.35)
ax.legend()
ax.grid(True)
h, l = ax.get_legend_handles_labels()
print(h, l)
text =" Legend is present"
if h ==[]:
text ="No legend present"
else:
text+=" and labels are : \n"+str(l)
ax.text(0.15, 0.45, text, fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_legend_handles_labels()\
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
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