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@ValentinaHutter
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@ValentinaHutter
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not sure about the colormap - if required, update as you prefer!

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nice thanks.
maybe add a few comments about what's happening? E.g., here:

unique, counts = np.unique(wsm[0, 4450:6800, 0:4000], return_counts=True)

or in general a very short summary after the title?

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nice thanks. maybe add a few comments about what's happening? E.g., here:

unique, counts = np.unique(wsm[0, 4450:6800, 0:4000], return_counts=True)

or in general a very short summary after the title?

I agree, I asked Senmao about it, as I do not have detailed information about the values or their meaning.

@ValentinaHutter
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nice thanks. maybe add a few comments about what's happening? E.g., here:
unique, counts = np.unique(wsm[0, 4450:6800, 0:4000], return_counts=True)
or in general a very short summary after the title?

I agree, I asked Senmao about it, as I do not have detailed information about the values or their meaning.

the np.unique is used to get an overview about the values that are actually in the dataset - we might want to remove it, if we can explain the meaning of the values in the introduction.

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3 participants