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Description of changes:
During testing some bucketing I've noticed a problem when there are combined datatypes in some rows which cause dtype casting during
df.apply
. As duringdf.apply
each row is handled as a separate Series and for example there is afloat
and aint
column, thedtype
of the row series isfloat
and the Exception is raised.To prevent this issue the fix according to https://stackoverflow.com/a/47145613/10608063 was added which changes the
dtype
toobject
beforeapply
.By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.