attributeError：＆＃x27; list＆＃x27;对象没有属性＆＃x27; get_label＆＃x27;

Question

我正在尝试使用两个Y轴和一个X轴的基本情节。为了获得不同曲线的传说信息，我会得到属性。 这是我的代码：

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2.0*np.pi, 101)
y = np.sin(x)
z = np.sinh(x)

# separate the figure object and axes object from the plotting object
fig, ax1 = plt.subplots()

# Duplicate the axes with a differebt y axis and the same x axis
ax2 = ax1.twinx()  # ax2 and ax1 will have common x axis and different y axis

# plot the curves on axes 1, and 2 and get the curve hadles
curve1 = ax1.plot(x, y, label="sin", color='r')
curve2 = ax2.plot(x, z, label="sinh", color='b')

# Make a curves list to access the parameters in the curves
curves = [curve1, curve2]

# Add legend via axes1 or axex 2 object.
# ax1.legend() will not display the legend of ax2
# ax2.legend() will not display the legend of ax1

ax1.legend(curves, [curve.get_label() for curve in curves])
#ax2.legend(curves, [curve.get_label() for curve in curves]) also valid

# Global figure properties
plt.title("Plot of sine and hyperbolic sine")
plt.show()

我在以下行中遇到错误：

ax1.legend(curves, [curve.get_label() for curve in curves])

如果有人知道为什么会发生这种情况。

Answer 1

这将解决您的问题，请尝试以下操作：

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2.0*np.pi, 101)
y = np.sin(x)
z = np.sinh(x)

# separate the figure object and axes object from the plotting object
fig, ax1 = plt.subplots()

# Duplicate the axes with a differebt y axis and the same x axis
ax2 = ax1.twinx()  # ax2 and ax1 will have common x axis and different y axis

# plot the curves on axes 1, and 2 and get the curve hadles
curve1 = ax1.plot(x, y, label="sin", color='r')
curve2 = ax2.plot(x, z, label="sinh", color='b')

# Make a curves list to access the parameters in the curves
curves = curve1 + curve2

# Add legend via axes1 or axex 2 object.
# ax1.legend() will not display the legend of ax2
# ax2.legend() will not display the legend of ax1
labs = [curve.get_label() for curve in curves]
ax1.legend(curves, labs, loc=0)

#ax1.legend(curves, [curve.get_label() for curve in curves])
#ax2.legend(curves, [curve.get_label() for curve in curves]) also valid

# Global figure properties
plt.title("Plot of sine and hyperbolic sine")
plt.show()

Answer 2

正如LC05所暗示的那样，如果您不想进行每个曲线进行硬码，则可以：

从第二轴上获取标签和手柄：

handles, labels = ax1.get_legend_handles_labels() 
handles2, labels2 = ax2.get_legend_handles_labels() 

循环穿过每个曲线以附加：

for h2 in handles2:
    handles.append(h2)
for l2 in labels2:
    labels.append(l2)

仅创建一个传奇：

ax1.legend(handles = handles, loc = "best")

Answer 3

如果您阅读 pyplot文档绘图函数返回一个列表，该列表显然没有方法get_label（）。

您想要的可能是 matplotlib的Legend文档 ，这是对情节标签的自动检测。
这意味着您不必存储您的行结果，而您的传奇电话

ax1.legend(curves, [curve.get_label() for curve in curves])

从我看来

ax1.legend()

，阅读文档不仅在大多数情况下解决了您的问题，而且还为您提供了在编程世界中非常重要的能力，是能够自己解决问题（以及阅读文档）。

干杯