For numbers with a decimal separator, by default Python uses float and Pandas uses numpy float64. Internally float types use a base 2 representation which is convenient for binary computers. Python's ...

I've been using my own implementation of a Decimal type -- maybe it should be included as a standard type? from graphene.types import Scalar from graphql.language import ast class Decimal(Scalar): """ ...