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We don't handle NaNs in dataset / segments until it leads to bugs There are 3 different types of functions by NaNs usage:
NaN
0
Maybe we can add decorators for these cases and wrap all utils functions with them (e.g. @drop_nans)
utils
@drop_nans
The text was updated successfully, but these errors were encountered:
Related issue: https://github.com/hastic/hastic-grafana-app/issues/258
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Also, we should decide what we should do with np.inf values
np.inf
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We don't handle
NaN
s in dataset / segments until it leads to bugsThere are 3 different types of functions by
NaN
s usage:NaN
sNaN
s to be converted to0
Maybe we can add decorators for these cases and wrap all
utils
functions with them (e.g.@drop_nans
)The text was updated successfully, but these errors were encountered: