issue_comments: 412969792
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/2355#issuecomment-412969792 | https://api.github.com/repos/pydata/xarray/issues/2355 | 412969792 | MDEyOklzc3VlQ29tbWVudDQxMjk2OTc5Mg== | 35968931 | 2018-08-14T18:25:06Z | 2018-08-14T18:25:06Z | MEMBER |
So if you made a 2D animated plot, you would return an instance of an animation object, from which you can also get the blocks for the imshow, the colorbar, the title etc. That would be neater for single plots, but if you wanted to create an animation with two plots, you would need something like: ``` python turb2d = xr.load_dataset("turbulent_fluid_data.nc") Create individual animationsimshow_animation, imshow_blocks = turb2d["density"].plot.imshow(animate_over='time') line_animation, line_blocks = turb2d["density"].mean(dim='z').plot.line(animate_over='time') Create animation with both plots on same figureanim = amp.Animate(imshow_blocks, line_blocks) Save the combined gifanim.save_gif("fluid_density.gif") plt.show()
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