def test_image():
size = (3, 2)
targets, pred, member, img = cp.image(points, values, size,
((0, 0.5), (2, -0.5)),
colormap=summer)
eq(targets.shape, size + (2,))
eq(pred.shape, size)
eq(member.shape, size)
def create_heatmap(points, values, area):
"""
Create clusterpolated heatmap.
Takes a 2-column matrix with point coordinates, a 1-column matrix
with associated values, and a 2-tuple of 2-tuples describing the
target area.
Returns a ``PIL.Image.Image`` instance.
"""
normalized = (values - MIN_RENT) / (MAX_RENT - MIN_RENT)
return clusterpolate.image(
points, normalized, size=HEATMAP_SIZE, area=area,
radius=HEATMAP_RADIUS, colormap=HEATMAP_COLORMAP,
normalize=False)[3]
def create_heatmap(points, values, area):
"""
Create clusterpolated heatmap.
Takes a 2-column matrix with point coordinates, a 1-column matrix
with associated values, and a 2-tuple of 2-tuples describing the
target area.
Returns a ``PIL.Image.Image`` instance.
"""
normalized = (values - MIN_RENT) / (MAX_RENT - MIN_RENT)
return clusterpolate.image(points,
normalized,
size=HEATMAP_SIZE,
area=area,
radius=HEATMAP_RADIUS,
colormap=HEATMAP_COLORMAP,
normalize=False)[3]
