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Author SHA1 Message Date
Stuart Lynn 01eef5ee9e inital attempt at contours
9 years ago

@ -0,0 +1,12 @@
CREATE OR REPLACE FUNCTION
cdb_contours_count (
query TEXT,
levels NUMERIC[]
)
RETURNS TABLE (the_geom geometry , level Numeric)
AS $$
from crankshaft.contours import create_countours_count
return create_countours_count(query,levels)
$$ LANGUAGE plpythonu;

@ -1,2 +1,3 @@
import random_seeds
import clustering
import contours

@ -0,0 +1,47 @@
import matplotlib.pyplot as plt
import numpy as np
import plpy
def contour_to_polygon(contour):
plpy.notice('appending contour ')
c = np.append(contour, [contour[0]], axis=0)
points =','.join( [ " ".join(str(a) for a in b) for b in c])
return "POLYGON(({points}))::geometry".format(points=points)
def create_countours_count(query,levels,mesh_size=20):
qresult = plpy.execute( "select ST_X(the_geom)::Numeric as x, ST_Y(the_geom)::Numeric as y from ({query}) a ".format(query=query))
x =[]
y =[]
for a in qresult:
if a['x'] and a['y']:
x.append(float(a['x']))
y.append(float(a['y']))
plpy.notice(np.shape(x))
plpy.notice(np.shape(y))
if None in x:
plpy.notice("NULL IN LIST X ")
if None in y:
plpy.notice("NULL IN LIST Y ")
x_min,x_max = np.min(x), np.max(x)
y_min,y_max = np.min(y), np.max(y)
plpy.notice(x_min)
plpy.notice(x_max)
plpy.notice(y_min)
plpy.notice(y_max)
plpy.notice(mesh_size)
x_grid = np.linspace(x_min,x_max, mesh_size)
y_grid = np.linspace(y_min,y_max, mesh_size)
range = [[x_min,x_max],[y_min,y_max]]
a, xedges, yedges= np.histogram2d(x,y,bins=(mesh_size,mesh_size), range=range)
a = np.swapaxes(a,0,1)
plpy.notice("here about to create the contours")
CS = plt.contour(xedges[1:],yedges[1:] ,a,4,linewidths=0.5, colors='b')
plpy.notice(levels)
return[(contour_to_polygon(CS.Cntr.trace((level))[0]), float(level)) for level in levels]

@ -40,9 +40,9 @@ setup(
# The choice of component versions is dictated by what's
# provisioned in the production servers.
install_requires=['pysal==1.11.0','numpy==1.6.1','scipy==0.17.0'],
install_requires=['pysal==1.11.0','numpy==1.10.1','scipy==0.17.0', 'matplotlib==1.4.3'],
requires=['pysal', 'numpy'],
requires=['pysal', 'numpy', 'matplotlib'],
test_suite='test'
)

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