def _convert_tolerance(self, tolerance):
try:
return tslib.Timedelta(tolerance).to_timedelta64()
except ValueError:
raise ValueError('tolerance argument for %s must be convertible '
'to Timedelta: %r' %
(type(self).__name__, tolerance))
def _coerce_scalar_to_timedelta_type(r, unit='ns', box=True, errors='raise'):
""" convert strings to timedelta; coerce to Timedelta (if box), else np.timedelta64"""
result = tslib.convert_to_timedelta(r,unit,errors)
if box:
result = tslib.Timedelta(result)
return result
def _maybe_box_datetimelike(value):
# turn a datetime like into a Timestamp/timedelta as needed
if isinstance(value, (np.datetime64, datetime)):
value = tslib.Timestamp(value)
elif isinstance(value, (np.timedelta64, timedelta)):
value = tslib.Timedelta(value)
return value
def _coerce_scalar_to_timedelta_type(r, unit='ns', box=True, coerce=False):
""" convert strings to timedelta; coerce to Timedelta (if box), else np.timedelta64"""
if isinstance(r, compat.string_types):
# we are already converting to nanoseconds
converter = _get_string_converter(r, unit=unit)
r = converter()
unit = 'ns'
result = tslib.convert_to_timedelta(r, unit, coerce)
if box:
result = tslib.Timedelta(result)
return result
def _coerce_scalar_to_timedelta_type(r, unit='ns', box=True, errors='raise'):
"""Convert string 'r' to a timedelta object."""
try:
result = tslib.convert_to_timedelta64(r, unit)
except ValueError:
if errors == 'raise':
raise
elif errors == 'ignore':
return r
# coerce
result = pd.NaT
if box:
result = tslib.Timedelta(result)
return result