BUG: conversion of uint64 to float when taking #15362
Description
# master In [1]: pandas.core.algorithms.take_nd(np.array([0, 1], dtype='uint64'), np.array([0, -1])) Out[1]: array([ 0., nan]) # with this change above In [5]: pandas.core.algorithms.take_nd(np.array([0, 1], dtype='uint64'), np.array([0, -1])) Out[5]: array([ 0, 18446744073709551615], dtype=uint64) mainly need some more testing w.r.t. this (e.g. pandas.types.cast._maybe_promote).