我有以下代码来绘制Pandas DataFrame的数据:
df = pd.read_csv('data.csv')
plt.figure()
plt.title('Title')
ax1 = df.R.plot(style='b', label='Suc. Rate')
ax1.set_ylabel('Success Rate / Coherence')
ax2 = df.C.plot(style='r', label='Coherence')
ax3 = df.S.plot(secondary_y=True, style='g', label='Size')
ax3.set_ylabel('Lexicon Size')
plt.legend()
图表是正确的,但图例中只显示标签为Size
的最后一行。如何在一个图例中获得所有3行?
答案 0 :(得分:5)
您需要从每个handles
获取图例labels
和Axes
,然后将所有句柄和标签的列表传递给图例。您可以使用ax.get_legend_handles_labels()
执行此操作:
import matplotlib.pyplot as plt
import pandas as pd
# Some sample data
df = pd.DataFrame({'C' : [4,5,6,7], 'S' : [10,20,30,40],'R' : [100,50,-30,-50]})
fig=plt.figure()
plt.title('Title')
ax1 = df.R.plot(style='b', label='Suc. Rate')
ax1.set_ylabel('Success Rate / Coherence')
ax2 = df.C.plot(style='r', label='Coherence')
ax3 = df.S.plot(secondary_y=True, style='g', label='Size')
ax3.set_ylabel('Lexicon Size')
handles,labels = [],[]
for ax in fig.axes:
for h,l in zip(*ax.get_legend_handles_labels()):
handles.append(h)
labels.append(l)
plt.legend(handles,labels)
plt.show()