Comments (10)
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Yes, indeed it's something to do with pandas
. Somehow passing an argument of class pandas.core.series.Series
messes things up. Converting the Series
object to numpy array with .to_numpy()
fixes it.
I am not sure if something needs to be done on your side. Documenting it, perhaps.
from bayesicfitting.
Note, however, that the fit()
works if weights=None
even if I provide pandas
Series objects. So, the clash is somewhere in the branching for weights != None
.
Note that I only have to do .to_numpy()
for the weights, x
and y
could stay as Series objects.
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from bayesicfitting.
The changes are in the new version 2.6.1.
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Related Issues (15)
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