Skip to content

Commit

Permalink
Don't cast NaN to integer
Browse files Browse the repository at this point in the history
Do not try to convert NaN to integer type, as the operation is undefined
and results in random values.  This fixes all testsuite failures.
  • Loading branch information
andreas-schwab authored and kmuehlbauer committed May 8, 2023
1 parent 23c565c commit bb99536
Showing 1 changed file with 1 addition and 7 deletions.
8 changes: 1 addition & 7 deletions xarray/coding/times.py
Original file line number Diff line number Diff line change
Expand Up @@ -249,17 +249,11 @@ def _decode_datetime_with_pandas(
if flat_num_dates.dtype.kind in "iu":
flat_num_dates = flat_num_dates.astype(np.int64)

# Cast input ordinals to integers of nanoseconds because pd.to_timedelta
# works much faster when dealing with integers (GH 1399).
flat_num_dates_ns_int = (flat_num_dates * _NS_PER_TIME_DELTA[delta]).astype(
np.int64
)

# Use pd.to_timedelta to safely cast integer values to timedeltas,
# and add those to a Timestamp to safely produce a DatetimeIndex. This
# ensures that we do not encounter integer overflow at any point in the
# process without raising OutOfBoundsDatetime.
return (pd.to_timedelta(flat_num_dates_ns_int, "ns") + ref_date).values
return (pd.to_timedelta(flat_num_dates, delta) + ref_date).values


def decode_cf_datetime(
Expand Down

0 comments on commit bb99536

Please sign in to comment.