how does Stump.match handle N.A in time series #454
Replies: 3 comments 2 replies
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@lqmike Thank you for your question. Can you please execute Additionally, what version of STUMPY are you using? This can be ascertained with:
The current version is Finally, In short, STUMPY generally ignores all |
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Hi Sean Q_df is not a separate data, just the slice of the T_df like I
mentioned length of 100 on the T_df
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@seanlaw I think updating the default |
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Dear stumpy team, stump.match is such a great function within the fast pattern search!
I realized if the time series,
T_df[column1]
, hasnp.nan
, seemsstump.match
will return empty array which is not the case forstumpy.core.mass_absolute()
. As long as I doT_df['column1'].dropna()
it is back to normal. what is the best practice to handle this as I do not want to dodropna()
on specific columns worry the returned indices may end up being inconsistent across columns. Thanks a lot! Not exactly a programer, sorry for the simple question!And if I could ask one more, is there any great acceleration method if I want to search large amount of patterns and find the
stumpy.match
. Thank you!Mike
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