def test_calc_data_point_locations_custom_spacing(self):
# Scaling down from 3..12 to 1..4.
locs = _calc_data_point_locations(4, [3, 4, 10, 12])
np.testing.assert_allclose(locs, np.array([1, 1.33333333, 3.33333333, 4]))
# Sorted order shouldn't affect scaling.
locs = _calc_data_point_locations(4, [4, 3, 12, 10])
np.testing.assert_allclose(locs, np.array([1.33333333, 1, 4, 3.33333333]))
# Scaling up from 0.001..0.87 to 1..3.
locs = _calc_data_point_locations(3, [0.001, 0.2543, 0.87])
np.testing.assert_allclose(locs, np.array([1, 1.58296893, 3]))
def test_calc_data_point_locations_custom_spacing(self):
# Scaling down from 3..12 to 1..4.
locs = _calc_data_point_locations(4, [3, 4, 10, 12])
np.testing.assert_allclose(locs,
np.array([1, 1.33333333, 3.33333333, 4]))
# Sorted order shouldn't affect scaling.
locs = _calc_data_point_locations(4, [4, 3, 12, 10])
np.testing.assert_allclose(locs,
np.array([1.33333333, 1, 4, 3.33333333]))
# Scaling up from 0.001..0.87 to 1..3.
locs = _calc_data_point_locations(3, [0.001, 0.2543, 0.87])
np.testing.assert_allclose(locs, np.array([1, 1.58296893, 3]))
def test_calc_data_point_locations_default_spacing(self):
locs = _calc_data_point_locations(4)
np.testing.assert_allclose(locs, [1, 2, 3, 4])
def test_calc_data_point_locations_invalid_x_values(self):
with npt.assert_raises(ValueError):
_calc_data_point_locations(3, [1, 10.5])
def test_calc_data_point_locations_default_spacing(self):
locs = _calc_data_point_locations(4)
np.testing.assert_allclose(locs, [1, 2, 3, 4])
def test_calc_data_point_locations_invalid_x_values(self):
with npt.assert_raises(ValueError):
_calc_data_point_locations(3, [1, 10.5])
def test_calc_data_point_locations_default_spacing(self):
"""Should return evenly-spaced x-axis locations."""
locs = _calc_data_point_locations(4)
np.testing.assert_allclose(locs, [1, 2, 3, 4])
def test_calc_data_point_locations_invalid_x_values(self):
"""Should raise error when invalid x_values are encountered."""
with npt.assert_raises(ValueError):
_calc_data_point_locations(3, [1, 10.5])
def test_calc_data_point_locations_default_spacing(self):
"""Should return evenly-spaced x-axis locations."""
locs = _calc_data_point_locations(4)
np.testing.assert_allclose(locs, [1, 2, 3, 4])
def test_calc_data_point_locations_invalid_x_values(self):
"""Should raise error when invalid x_values are encountered."""
with npt.assert_raises(ValueError):
_calc_data_point_locations(3, [1, 10.5])
