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Generating Pcolormesh Images From Very Large Data Sets Saved In H5 Files With Python

I am collecting a large amount of data that will be saved into individual H5 files using h5py. I would like to patch these images together into one pcolormesh plot to be saved as a

Solution 1:

One way to reduce the bloat of images in matplotlib (especially when saving to SVG) is to use the rasterized=True kwarg. This will essentially "flatten" your pcolormesh, which makes it much faster to save, uses less resources, etc.


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