通过pandas绘图界面使用第二个y轴绘制pandas数据框时设置图例位置 [英] Set legend position when plotting a pandas dataframe with a second y-axis via pandas plotting interface
问题描述
我正在按照可以看出,当我使用 ax.legend(loc='upper right')
设置位置时,图例会丢失条目.
有人知道我如何设置图例位置并保留所有条目吗?
提前致谢!
我们可以使用 .get_legend_handles_labels()
获得更正确的解决方案:
np.random.seed(42)df = pd.DataFrame(np.random.randn(24*3, 3),index=pd.date_range('1/1/2019', period=24*3, freq='h'))df.columns = ['A(左)','B(右)','C(右)']ax = df.plot(secondary_y = ['B(右)','C(右)'],mark_right = False)ax.set_ylabel('A标度')ax.right_ax.set_ylabel('BC标度')h1,l1 = ax.get_legend_handles_labels()h2,l2 = ax.right_ax.get_legend_handles_labels()ax.legend(h1+h2, l1+l2, loc=1)
我们之所以需要使用该方法,是因为 ax
和 ax.right_ax
各自都有自己的图例,只需将它们设置在相同的位置即可将其显示在顶部彼此.
I am plotting a pandas dataframe with a second y-axis via pandas plotting interface as described in the documentation like this:
df = pd.DataFrame(np.random.randn(24*3, 3),
index=pd.date_range('1/1/2019', periods=24*3, freq='h'))
df.columns = ['A (left)', 'B (right)', 'C (right)']
ax = df.plot(secondary_y=['B (right)', 'C (right)'], mark_right=False)
ax.set_ylabel('A scale')
ax.right_ax.set_ylabel('BC scale')
ax.legend(loc='upper right')
plt.show()
which yields
As it can be seen, the legend looses entries when I set the position using ax.legend(loc='upper right')
.
Does anyone know how I can set the legend position and keep all entries?
Thanks in advance!
We can use .get_legend_handles_labels()
for a more correct solution:
np.random.seed(42)
df = pd.DataFrame(np.random.randn(24*3, 3),
index=pd.date_range('1/1/2019', periods=24*3, freq='h'))
df.columns = ['A (left)', 'B (right)', 'C (right)']
ax = df.plot(secondary_y=['B (right)', 'C (right)'], mark_right=False)
ax.set_ylabel('A scale')
ax.right_ax.set_ylabel('BC scale')
h1, l1 = ax.get_legend_handles_labels()
h2, l2 = ax.right_ax.get_legend_handles_labels()
ax.legend(h1+h2, l1+l2, loc=1)
The reason we need to use that method is because ax
and ax.right_ax
each have their own legend and simply setting them to the same location will render them on top of each other.
这篇关于通过pandas绘图界面使用第二个y轴绘制pandas数据框时设置图例位置的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!