python - How do I plot contours on top of a hexbin plot?

Question

I have two arrays, x and y, both with values within a well defined range. I am able to create a hexbin plot (see image), however, I would now like to normalize these distributions and draw contour plots around them. I am not so interested in the counts within each hexbin. Instead I am interested in showing the contours corresponding to 1, 2 and 3 standard deviations (σ). I hope to have an output showing the contours similar to this example. The distribution is Gaussian. I would greatly appreciate any input on this.

Answer 1

根据 hexbin 文档https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.hexbin.html，您应该能够访问箱的 (x,y) 位置和返回的值多变的。例如：

h = hexbin(...)
xy = h.get_offsets()
v = h.get_array()

您可以使用这些来绘制轮廓。

请注意，文档不正确并说get_offset()应该调用，但该函数不存在，它是get_offsets().

此外，当hexbin用xscale='log'and调用时yscale='log'，get_offsets()则只返回array([[0., 0.]])。

Answer 2

我已经回答了其他人，如何创建等高线图。请检查已回答问题的以下链接。如果您有任何其他问题或想法，请随时在评论中提问。我会尽快回复。