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First of all, I like the new(ish) support for memory only matrices, and the performance benefits it offers. Edit: is it relatively new, or did just the default change recently?
However, I did run into an issue. When creating the indices for the AequilibraeMatrix, the numpy array has a float dtype, which means it can't actually be used for indexing:
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
So I created a fix, PR coming up.
The text was updated successfully, but these errors were encountered:
I came across that issue as well, but I was just overriding the indices when I could not that to work instead of digging to find the issue. Thanks for finding it, @elfjes . Are you guys enjoying the much better performance already?
First of all, I like the new(ish) support for memory only matrices, and the performance benefits it offers. Edit: is it relatively new, or did just the default change recently?
However, I did run into an issue. When creating the indices for the AequilibraeMatrix, the numpy array has a
float
dtype, which means it can't actually be used for indexing:So I created a fix, PR coming up.
The text was updated successfully, but these errors were encountered: