master at aba7d2:
>>> from pandas import lib, np >>> arr = np.array([2**63], dtype=object) >>> lib.maybe_convert_numeric(arr, set()) ... OverflowError: Python int too large to convert to C long
At first, I thought the patch would be similar to #14916, but there are several complications here:
uint64 values: in maybe_convert_objects, we would just return object to avoid data truncation. However, this function currently only returns numeric arrays. And if we do decide to return non-numeric, should we then raise if coerce_numeric=True then?uint64 has no convenient na_value, so what happens if a uint64 is in na_values?RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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