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At the moment, we can get an Int printed as a Float64:
TimeStepTable([(a=1, b =2.0),])
The issue comes from the fact that values from the TimeStepTable are all promoted to the same type when printing, because we tranform the row into a matrix:
At the moment, we can get an
Int
printed as aFloat64
:The issue comes from the fact that values from the TimeStepTable are all promoted to the same type when printing, because we tranform the row into a matrix:
PlantMeteo.jl/src/structs/TimeStepTable.jl
Line 293 in f2c6a7a
We should prefer iterating over rows of named tuples instead, si we could keep the types of our values.
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