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standardizeMissing not converting selected values to NaN

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Christopher Traft
评论： Taylor 2024-4-4
I'm having trouble getting standardizeMissing to perform its function. I have a 3x4209 array of int32 values called bl_height. Some of the values are -999. I'm trying to change the -999 values to NaN using standardizeMissing, but the -999 values are retained. Can someone tell me what I'm doing wrong? I've tried pretty much every iteration of standardizeMissing possible. Here's my code below:
bl_height=ncread(filename,'bl_height');
bl_height_edited = standardizeMissing(bl_height,-999);

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Taylor
Taylor 2024-4-4
It's because your values are integers not doubles. There is no room for a NaN value when using integers. The documentation for the input data to standardizeMissing specifies that the input should be one of the following data types: double | single | char | string | cell | table | timetable | categorical | datetime | duration
https://www.mathworks.com/help/matlab/ref/standardizemissing.html#bty9pdr-1-A
  2 个评论
Christopher Traft
Christopher Traft 2024-4-4
Thanks, it worked after I converted the values to doubles. Changed my first line to:
bl_height = double(ncread(filename,'bl_height'));
Taylor
Taylor 2024-4-4
Great! Just be aware that if you try to convert back to integers the NaN values will become 0s.

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