def test_with_timedelta_index_as_input(self, timedelta_index_series):
time_series_preparation = TimeSeriesPreparation()
computed_time_series = time_series_preparation._to_period_index_time_series(
timedelta_index_series)
expected_time_series = timedelta_index_series_to_period_index_series(
timedelta_index_series)
assert_series_equal(computed_time_series, expected_time_series)
def test_output_dataframe_is_correct(self, period_index_series: pd.Series,
output_name: str):
time_series_preparation = TimeSeriesPreparation(
output_name=output_name)
computed_time_series = time_series_preparation._to_period_index_dataframe(
period_index_series)
expected_time_series = pd.DataFrame({output_name: period_index_series})
assert_frame_equal(computed_time_series, expected_time_series)
def test_period_index_series_unchanged(
self,
period_index_series: pd.Series,
start: pd.datetime,
freq: pd.Timedelta,
):
time_series_preparation = TimeSeriesPreparation(start=start, freq=freq)
computed_time_series = time_series_preparation._to_time_index_series(
period_index_series)
assert_series_equal(computed_time_series, period_index_series)
def test_timedelta_index_dataframe_unchanged(
self,
timedelta_index_series: pd.Series,
start: pd.datetime,
freq: pd.Timedelta,
):
timedelta_index_dataframe = pd.DataFrame(timedelta_index_series)
time_series_preparation = TimeSeriesPreparation(start=start, freq=freq)
computed_time_series = time_series_preparation._to_time_index_series(
timedelta_index_dataframe)
assert_series_equal(computed_time_series, timedelta_index_series)
def test_array_as_input(
self,
input_array: np.ndarray,
start: pd.datetime,
freq: pd.Timedelta,
):
time_series_preparation = TimeSeriesPreparation(start=start, freq=freq)
computed_time_series = time_series_preparation._to_time_index_series(
input_array)
expected_time_series = pandas_series_with_period_index(input_array,
start,
freq=freq)
assert_series_equal(computed_time_series, expected_time_series)
def test_period_index_as_input(
self,
period_index_series: pd.Series,
start: pd.datetime,
freq: pd.Timedelta,
output_name: str,
):
time_series_preparation = TimeSeriesPreparation(
start=start, freq=freq, output_name=output_name)
computed_time_series = time_series_preparation.transform(
period_index_series)
expected_time_series = pd.DataFrame({output_name: period_index_series})
assert_frame_equal(computed_time_series, expected_time_series)
def test_array_as_input(
self,
input_array: np.ndarray,
start: pd.datetime,
freq: pd.Timedelta,
output_name: str,
):
time_series_preparation = TimeSeriesPreparation(
start=start, freq=freq, output_name=output_name)
computed_time_series = time_series_preparation.transform(input_array)
expected_series = pandas_series_with_period_index(input_array,
start,
freq=freq)
expected_time_series = pd.DataFrame({output_name: expected_series})
assert_frame_equal(computed_time_series, expected_time_series)
def test_with_resample_true(
self,
series: pd.Series,
start: pd.datetime,
freq: pd.Timedelta,
output_name: str,
):
time_series_preparation = TimeSeriesPreparation(
start=start,
freq=freq,
resample_if_not_equispaced=True,
output_name=output_name,
)
with pytest.raises(NotImplementedError):
time_series_preparation._to_equispaced_time_series(series)
def test_with_resample_false(
self,
series: pd.Series,
start: pd.datetime,
freq: pd.Timedelta,
output_name: str,
):
time_series_preparation = TimeSeriesPreparation(
start=start,
freq=freq,
resample_if_not_equispaced=False,
output_name=output_name,
)
computed_series = time_series_preparation._to_equispaced_time_series(
series)
assert_series_equal(computed_series, series)
def test_constructor_does_not_fail(
self,
start: pd.datetime,
freq: pd.Timedelta,
resample_if_not_equispaced: bool,
output_name: str,
):
TimeSeriesPreparation(
start=start,
freq=freq,
resample_if_not_equispaced=resample_if_not_equispaced,
output_name=output_name,
)
def test_constructor_initializes_parameters(
self,
start: pd.datetime,
freq: pd.Timedelta,
resample_if_not_equispaced: bool,
output_name: str,
):
time_series_preparation = TimeSeriesPreparation(
start=start,
freq=freq,
resample_if_not_equispaced=resample_if_not_equispaced,
output_name=output_name,
)
assert time_series_preparation.start == start
assert time_series_preparation.end is None
assert time_series_preparation.freq == freq
assert (time_series_preparation.resample_if_not_equispaced ==
resample_if_not_equispaced)
assert time_series_preparation.output_name == output_name
def test_with_period_index_as_input(self, period_index_series):
time_series_preparation = TimeSeriesPreparation()
computed_time_series = time_series_preparation._to_period_index_time_series(
period_index_series)
assert_series_equal(computed_time_series, period_index_series)
def test_wrong_input_type(self, wrong_input: Tuple):
time_series_preparation = TimeSeriesPreparation()
with pytest.raises(TypeError):
time_series_preparation._to_time_index_series(wrong_input)