Building datastore on dataset with missing values
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When I use readtable on my dataset that has NAN values, the readtable command converts the missing values to numeric NANs. So that works fine, but when I build a datastore on my dataset to use tall arrays, then I get the error from MATLAB that the missing values are not numerics. How can I fix that?
Thanks
回答（1 个）
Jayanti
2025-3-18
Hi Mohsen,
When creating a datastore, you can handle missing values by using the "TreatAsMissing" and "MissingValue" name-value arguments. To replace every instance of "NA" with a 0 in the imported data specify the value of "TreatAsMissing" as "NA" and the value of "MissingValue" as 0.
The following line of code demonstrates this:
ds = datastore("airlinesmall.csv","TreatAsMissing","NA",...
"MissingValue",0);
You can also refer the following documentation link:
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2018-3-29
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