Matplotlib: How to make scatter plot of arbitrary pyplot figures

Question

This is a question linked to this well received one. In that question I see an answers on how to plot images (or different images) at different coordinates like a scatter plot.

Using TextArea I can put little strings instead of images at different coordinates.

How about if I want to put a mini version of a plot/image generated by matplotlib itself? Suppose I want instead of using an image.jpg I want to use the result of plt.stem(arr) as the image in the scatter plots.

How can I do this? How about a miniature version of the output of plt.plot(x, y)?

I tried modifying the function given in the linked question to be like:

def stem_scatter(x, y, arr, ax=None): from matplotlib.offsetbox import AnnotationBbox, DrawingArea if ax is None: ax = plt.gca() im = DrawingArea(0.1, 0.1) im.add_artist(plt.stem(arr)) x, y = np.atleast_1d(x, y) artists = [] for x0, y0 in zip(x, y): ab = AnnotationBbox(im, (x0, y0), xycoords='data', frameon=False) artists.append(ax.add_artist(ab)) ax.update_datalim(np.column_stack([x, y])) ax.autoscale() return artists

But that gives an error: AttributeError: 'StemContainer' object has no attribute 'is_transform_set'

EDIT: From the linked question:

"…. but the second has a large advantage. The annotation box approach will allow the image to stay at a constant size as you zoom in."

this would be a desirable feature in an accepted answer because on zooming in one would like to see the relative positions of the scatter points. If the scatter plotted image did not maintain a fixed size (relative to the screen as opposed to current axis limits), then zooming in would be of little help.

A bit hacky, but you can use plt.savefig to save a picture, then use the method in the linked question — BlackBear
– BlackBear, Commented May 31, 2019 at 8:57
@BlackBear Indeed that (or a variation of that using PIL to avoid saving to disk) is what I am currently doing … but if you have a scatter plot with a couple of hundred points it doesn't seem like the best way. — ITA
– ITA, Commented May 31, 2019 at 9:01
You already got an answer by one of the matplotlib developpers. What is the bounty for? Did you try using an inset axes? — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Jun 1, 2019 at 1:24
@ImportanceOfBeingErnest I am not sure it is really an answer, rather more of a suggestion in a possible direction … which may or may not work. And ... no I didn't try, mostly because the link in the answer features a prominent warning that the feature is experimental and the API may change. — ITA
– ITA, Commented Jun 1, 2019 at 7:19
Also from the linked question: "…. but the second has a large advantage. The annotation box approach will allow the image to stay at a constant size as you zoom in.". I am not completely sure, but my experiments suggested this is not true for a naive inset_axes approach. — ITA
– ITA, Commented Jun 1, 2019 at 7:36

Jody Klymak · Accepted Answer · 2019-05-26 01:29:10Z

1

You could try something like: https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.inset_axes.html

answered May 26, 2019 at 1:29

Jody Klymak

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