def test_read_fit_course(example):
course = sweat.read_fit(example.path)
assert isinstance(course, pd.DataFrame)
assert isinstance(course.index, pd.DatetimeIndex)
included_data = set(i.value for i in example.included_data)
assert included_data <= set(course.columns.to_list())
def test_accessor_time_in_zone(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
time_in_zone = data["heartrate"].sweat.time_in_zone(
[0, 100, 150, np.inf], ["zone 1", "zone 2", "zone 3"])
assert set(time_in_zone.index.unique()) == set(
["zone 1", "zone 2", "zone 3"])
def test_accessor_compute_zones(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
zones = data["heartrate"].sweat.calculate_zones(
[0, 100, 150, np.inf], ["zone 1", "zone 2", "zone 3"])
assert len(zones) == len(data)
assert set(zones.unique()) == set(["zone 1", "zone 2", "zone 3"])
def test_accessor(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
mean_max_data = data.sweat.mean_max("power")
assert isinstance(mean_max_data, pd.DataFrame)
assert isinstance(mean_max_data.index, pd.TimedeltaIndex)
assert "mean_max_power" in mean_max_data.columns
assert len(mean_max_data) == len(data) - 1
def test_accessor_relative_index(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
data = data["power"].sweat.to_timedelta_index()
assert isinstance(data, pd.Series)
assert isinstance(data.index, pd.TimedeltaIndex)
assert data.name == "power"
def test_accessor(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
mean_max = data["power"].sweat.mean_max()
assert isinstance(mean_max, pd.Series)
assert isinstance(mean_max.index, pd.TimedeltaIndex)
assert mean_max.name == "mean_max_power"
assert len(mean_max) == len(data) - 1
def test_accessor_relative_index(self):
example = sweat.examples(path="4078723797.fit")
data = sweat.read_fit(example.path)
data = data.sweat.to_timedelta_index()
assert isinstance(data, pd.DataFrame)
assert isinstance(data.index, pd.TimedeltaIndex)
assert "power" in data.columns
def test_accessor_not_1hz(self):
example = sweat.examples(path="2020-06-01-16-52-40.fit")
data = sweat.read_fit(example.path)
with pytest.raises(AttributeError):
data["power"].sweat.mean_max()
def test_read_fit_no_fit():
example_tcx = sweat.examples(path="activity_4078723797.tcx")
with pytest.raises(exceptions.InvalidFitFile):
sweat.read_fit(example_tcx.path)
def read_fit_file_py(f):
d = read_fit(f)
d = d.reset_index()
return d
