def pd_fix_indexes_take_impl(self, indexes):
if index_api_supported == True: # noqa
res = self.take(indexes)
else:
res = numpy_like.take(self, indexes)
return res
def sdc_reindex_series_impl(arr, index, name, by_index):
_, new_order = index.reindex(by_index)
if new_order is not None:
new_order_as_array = _nonoptional(new_order)
index_mismatch = 0
for i in numba.prange(len(by_index)):
if new_order_as_array[i] == -1:
index_mismatch += 1
if index_mismatch:
# TO-DO: seems it covers only specific series reindex case, generalize?
msg = "Unalignable boolean Series provided as indexer " + \
"(index of the boolean Series and of the indexed object do not match)."
raise IndexingError(msg)
res_data = numpy_like.take(arr, new_order_as_array)
else:
res_data = arr
return pandas.Series(data=res_data, index=by_index, name=name)
def pd_int64_index_take_impl(self, indexes):
_indexes = indexes.values if convert_target == True else indexes # noqa
new_index_data = numpy_like.take(self._data, _indexes)
return pd.Int64Index(new_index_data, name=self._name)
def pd_int64_index_take_chunked_impl(self, indexes):
new_index_data = numpy_like.take(self.values, indexes)
return pd.Int64Index(new_index_data, name=self._name)
def sdc_func(arr, index):
return numpy_like.take(arr, index)