[PYTHON MATRIX-SIG] handling missing data values in NumPy
Mon, 2 Jun 1997 08:47:33 -0700 (PDT)
I often deal with time sequences of 2D arrays that have
some values missing at random times. I want to obtain
an average of these sequences along the time axis
taking into account the missing values.
I may just be dense but I do not see any slick way to
accomplish this task without writing an extension
like the add.reduce but checking each element for
a missing value.
Does anyone have any insight to this problem or is an
extension the solution?
Thanks for any information.
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