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NaN values handling #8

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rozetko opened this issue Apr 17, 2019 · 2 comments
Open

NaN values handling #8

rozetko opened this issue Apr 17, 2019 · 2 comments

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@rozetko
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rozetko commented Apr 17, 2019

We don't handle NaNs in dataset / segments until it leads to bugs
There are 3 different types of functions by NaNs usage:

  • functions that can use dataset / segments with NaNs
  • functions that need NaNs to be converted to 0
  • functions that can just drop them

Maybe we can add decorators for these cases and wrap all utils functions with them (e.g. @drop_nans)

@rozetko
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rozetko commented Apr 17, 2019

@rozetko
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rozetko commented Apr 18, 2019

Also, we should decide what we should do with np.inf values

@jonyrock jonyrock transferred this issue from hastic-zzz/hastic-server May 10, 2020
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