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When we pass a DataFrame to Weather (or TimeStepTable{Atmosphhere}) that has some missing values, we get the following error:
TimeStepTable{Atmosphhere}
julia> w = Weather(df) ERROR: MethodError: no method matching var"#Atmosphere#3"(::Missing, ::Float64, ::Missing, ::Missing, [...])
This is because we don't accept Missing values for the default Atmosphere variables (and this is the right way to do so).
But, we could print a nicer error message because it is complicated to understand where the error comes from with this one.
We could have something like:
ERROR: ArgumentError: Missing values found in the DataFrame. This is not authorized.
The text was updated successfully, but these errors were encountered:
Fixed in 19f61c3 and 9beda3b
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When we pass a DataFrame to Weather (or
TimeStepTable{Atmosphhere}
) that has some missing values, we get the following error:This is because we don't accept Missing values for the default Atmosphere variables (and this is the right way to do so).
But, we could print a nicer error message because it is complicated to understand where the error comes from with this one.
We could have something like:
The text was updated successfully, but these errors were encountered: