如何在不更改图的情况下重新放置Matplotlib图例 [英] How to reposition matplotlib legend without plots to change

问题描述

我有一个包含6个子图的图，这些图的数据非常相似.我只想要一个图例，并且希望将其放置为与两个子图重叠，但是matplotlib似乎可以防止这种情况.如果我将图例稍微上移，它将更改子图的格式，使其不会与其他图重叠.所以我的问题是:如何在不影响子图的总体构成的情况下替换图例/如何允许重叠?

I have a plot with 6 subplots with very similar data. I only want one legend and I would like to place it such that it overlaps two subplots, but it seems matplotlib prevents this. If I move the legend a bit up it changes the format of the subplots such that it doesn't overlap another plot. So my question would be: how to replace the legend without affecting the general make up of the subplots/how to allow overlapping?

我已经尝试过使用 loc 和 bbox_to_anchor ，但是都重新格式化了子图(即更改了轴)使用的语法: ax [1,1] .legend(["line1"，..，"lineN"]，loc =(0.5,0.5)和相同，但loc被bbob_to_anchor

I have tried both with loc and bbox_to_anchor but both reformat the subplots (i.e. changes axes) Used syntax: ax[1,1].legend(["line1",..,"lineN"],loc=(0.5,0.5) and the same but loc replaced with bbob_to_anchor

我刚刚找到了此答案，但它对我不起作用，因为我没有在标签内部定义标签情节电话.根据该答案，我尝试的是:

I have just found this answer but it doesn't work for me I think because I'm not defining the labels inside the plot call. What I tried based on that answer was:

handles,labels = ax[1,1].get_legend_handles_labels()
    fig.legend(handles, ["line0",..,"lineN"], loc=(0.5,0.5))

但这给了我一个空洞的传说.只是一个小方块

But that gives me an empty legend. Just a little small square

我的具体情况需要更多澄清:

A bit more clarification to my exact situation:

f, ax = plt.subplots(3,2,  figsize=(10,8), sharex=True, sharey=True)
x = np.linspace(0,100,100)
y = np.random.rand(100,3)
ax[0,0].plot(x,y)
ax[0,1].plot(x,y)
ax[1,0].plot(x,y)
ax[1,1].plot(x,y)
ax[2,0].plot(x,y)
ax[2,1].plot(x,y)
//One single legend for the three lines represented in y. It should overlap part of subplot 0,1 and 1,1

推荐答案

好的，我是根据此自己找到解决方案的答案，但略有不同.有效的是:

Oke I found the solution myself based on this answer but slightly different. What worked is:

handles = ax[0,0].get_lines()
labels = ["line0",...,"lineN"] #obviously expand this and do not use ...
fig.legend(handles, labels, loc=(0.5,0.5)

因此诀窍是，如果未在绘图调用中定义标签，则使用 get_lines 而不是 get_legend_handles_labels .

So the trick is to use get_lines instead of get_legend_handles_labels if you haven't define labels in your plot calls.

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