def test_histogram():
"""Test histogram visual"""
size = (200, 100)
with TestingCanvas(size=size, bgcolor='w') as c:
np.random.seed(2397)
data = np.random.normal(size=100)
hist = Histogram(data, bins=20, color='k', parent=c.scene)
hist.transform = STTransform((size[0] // 10, -size[1] // 20, 1),
(100, size[1]))
assert_image_approved(c.render(), "visuals/histogram.png")
def test_histogram():
"""Test histogram visual"""
size = (200, 100)
with TestingCanvas(size=size, bgcolor='w') as c:
np.random.seed(2397)
data = np.random.normal(size=100)
hist = Histogram(data, bins=20, color='k')
hist.transform = STTransform((size[0] // 10, -size[1] // 20, 1),
(100, size[1]))
c.draw_visual(hist)
assert_image_approved("screenshot", "visuals/histogram.png")
def test_histogram():
"""Test histogram visual"""
size = (200, 100)
with TestingCanvas(size=size, bgcolor='w') as c:
data = np.array([0., 0., 1.])
hist = Histogram(data, bins=2, color='k')
# the result should be 2 high by 1 wide, so we scale it up
hist.transform = STTransform((size[0], -size[1] // 2, 1), (0, size[1]))
c.draw_visual(hist)
expected = np.zeros(size[::-1] + (3, ))
expected[:size[1] // 2, -size[0] // 2:] = 1.
assert_image_equal("screenshot", expected)