def f(self):
values = self.asi8
result = get_timedelta_field(values, alias)
if self.hasnans:
result = self._maybe_mask_results(result, convert='float64')
return result
def f(self):
values = self.asi8
result = get_timedelta_field(values, alias)
if self.hasnans:
result = self._maybe_mask_results(result, convert='float64')
return result
def f(self):
values = self.asi8
result = get_timedelta_field(values, alias)
if self._hasnans:
result = self._maybe_mask_results(result,
fill_value=None,
convert="float64")
return result
def f(self) -> np.ndarray:
values = self.asi8
result = get_timedelta_field(values, alias, reso=self._reso)
if self._hasna:
result = self._maybe_mask_results(
result, fill_value=None, convert="float64"
)
return result
def test_fields_readonly():
# https://github.com/vaexio/vaex/issues/357
# fields functions shouldn't raise when we pass read-only data
dtindex = np.arange(5, dtype=np.int64) * 10**9 * 3600 * 24 * 32
dtindex.flags.writeable = False
result = fields.get_date_name_field(dtindex, "month_name")
expected = np.array(["January", "February", "March", "April", "May"],
dtype=object)
tm.assert_numpy_array_equal(result, expected)
result = fields.get_date_field(dtindex, "Y")
expected = np.array([1970, 1970, 1970, 1970, 1970], dtype=np.int32)
tm.assert_numpy_array_equal(result, expected)
result = fields.get_start_end_field(dtindex, "is_month_start", None)
expected = np.array([True, False, False, False, False], dtype=np.bool_)
tm.assert_numpy_array_equal(result, expected)
# treat dtindex as timedeltas for this next one
result = fields.get_timedelta_field(dtindex, "days")
expected = np.arange(5, dtype=np.int32) * 32
tm.assert_numpy_array_equal(result, expected)
def test_get_timedelta_field_readonly(dtindex):
# treat dtindex as timedeltas for this next one
result = fields.get_timedelta_field(dtindex, "days")
expected = np.arange(5, dtype=np.int32) * 32
tm.assert_numpy_array_equal(result, expected)
def time_get_timedelta_field(self, size, field):
get_timedelta_field(self.i8data, field)
