def validate_air_temperature(observation, values):
"""
Run validation checks on an air temperature observation.
Parameters
----------
observation : solarforecastarbiter.datamodel.Observation
Observation object that the data is associated with
values : pandas.Series
Series of observation values
Returns
-------
timestamp_flag, night_flag, temp_limit_flag : pandas.Series
Integer bitmask series from
:py:func:`.validator.check_timestamp_spacing`,
:py:func:`.validator.check_irradiance_day_night`,
:py:func:`.validator.check_temperature_limits` respectively
"""
timestamp_flag, night_flag = validate_defaults(observation, values)
temp_limit_flag = validator.check_temperature_limits(
values, _return_mask=True)
return timestamp_flag, night_flag, temp_limit_flag
def validate_air_temperature(observation, values):
"""
Run validation checks on an air temperature observation.
Parameters
----------
observation : solarforecastarbiter.datamodel.Observation
Observation object that the data is associated with
values : pandas.Series
Series of observation values
Returns
-------
tuple
Tuple of integer bitmask series of flags from the following tests, in
order,
`validator.check_timestamp_spacing`,
`validator.check_temperature_limits`
"""
timestamp_flag = _validate_timestamp(observation, values)
temp_limit_flag = validator.check_temperature_limits(values,
_return_mask=True)
return timestamp_flag, temp_limit_flag
def test_check_temperature_limits(weather):
expected = weather
result_expected = expected['extreme_temp_flag']
result = validator.check_temperature_limits(expected['temp_air'])
assert_series_equal(result, result_expected)