def setUp(self):
plpy._reset()
self.params = {"id_col": "cartodb_id",
"attr1": "andy",
"attr2": "jay_z",
"table": "a_list",
"geom_col": "the_geom",
"num_ngbrs": 321}
self.neighbors_data = json.loads(open(fixture_file('neighbors.json')).read())
self.moran_data = json.loads(open(fixture_file('moran.json')).read())
def setUp(self):
plpy._reset()
self.params = {"id_col": "cartodb_id",
"attr1": "andy",
"attr2": "jay_z",
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321}
self.params_markov = {"id_col": "cartodb_id",
"time_cols": ["_2013_dec", "_2014_jan", "_2014_feb"],
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321}
self.neighbors_data = json.loads(open(fixture_file('neighbors.json')).read())
self.moran_data = json.loads(open(fixture_file('moran.json')).read())
def setUp(self):
plpy._reset()
self.params = {
"id_col": "cartodb_id",
"attr1": "andy",
"attr2": "jay_z",
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321,
}
self.params_markov = {
"id_col": "cartodb_id",
"time_cols": ["_2013_dec", "_2014_jan", "_2014_feb"],
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321,
}
self.neighbors_data = json.loads(open(fixture_file("neighbors.json")).read())
self.moran_data = json.loads(open(fixture_file("moran.json")).read())
def setUp(self):
plpy._reset()
self.params = {
"id_col": "cartodb_id",
"time_cols": ['dec_2013', 'jan_2014', 'feb_2014'],
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321
}
self.neighbors_data = json.loads(
open(fixture_file('neighbors_markov.json')).read())
self.markov_data = json.loads(open(fixture_file('markov.json')).read())
self.time_data = np.array(
[i * np.ones(10, dtype=float) for i in range(10)]).T
self.transition_matrix = np.array(
[[[0.96341463, 0.0304878, 0.00609756, 0., 0.],
[0.06040268, 0.83221477, 0.10738255, 0., 0.],
[0., 0.14, 0.74, 0.12, 0.],
[0., 0.03571429, 0.32142857, 0.57142857, 0.07142857],
[0., 0., 0., 0.16666667, 0.83333333]],
[[0.79831933, 0.16806723, 0.03361345, 0., 0.],
[0.0754717, 0.88207547, 0.04245283, 0., 0.],
[0.00537634, 0.06989247, 0.8655914, 0.05913978, 0.],
[0., 0., 0.06372549, 0.90196078, 0.03431373],
[0., 0., 0., 0.19444444, 0.80555556]],
[[0.84693878, 0.15306122, 0., 0., 0.],
[0.08133971, 0.78947368, 0.1291866, 0., 0.],
[0.00518135, 0.0984456, 0.79274611, 0.0984456, 0.00518135],
[0., 0., 0.09411765, 0.87058824, 0.03529412],
[0., 0., 0., 0.10204082, 0.89795918]],
[[0.8852459, 0.09836066, 0., 0.01639344, 0.],
[0.03875969, 0.81395349, 0.13953488, 0., 0.00775194],
[0.0049505, 0.09405941, 0.77722772, 0.11881188, 0.0049505],
[0., 0.02339181, 0.12865497, 0.75438596, 0.09356725],
[0., 0., 0., 0.09661836, 0.90338164]],
[[0.33333333, 0.66666667, 0., 0., 0.],
[0.0483871, 0.77419355, 0.16129032, 0.01612903, 0.],
[0.01149425, 0.16091954, 0.74712644, 0.08045977, 0.],
[0., 0.01036269, 0.06217617, 0.89637306, 0.03108808],
[0., 0., 0., 0.02352941, 0.97647059]]])
def setUp(self):
plpy._reset()
self.params = {"id_col": "cartodb_id",
"time_cols": ['dec_2013', 'jan_2014', 'feb_2014'],
"subquery": "SELECT * FROM a_list",
"geom_col": "the_geom",
"num_ngbrs": 321}
self.neighbors_data = json.loads(open(fixture_file('neighbors_markov.json')).read())
self.markov_data = json.loads(open(fixture_file('markov.json')).read())
self.time_data = np.array([i * np.ones(10, dtype=float) for i in range(10)]).T
self.transition_matrix = np.array([
[[ 0.96341463, 0.0304878 , 0.00609756, 0. , 0. ],
[ 0.06040268, 0.83221477, 0.10738255, 0. , 0. ],
[ 0. , 0.14 , 0.74 , 0.12 , 0. ],
[ 0. , 0.03571429, 0.32142857, 0.57142857, 0.07142857],
[ 0. , 0. , 0. , 0.16666667, 0.83333333]],
[[ 0.79831933, 0.16806723, 0.03361345, 0. , 0. ],
[ 0.0754717 , 0.88207547, 0.04245283, 0. , 0. ],
[ 0.00537634, 0.06989247, 0.8655914 , 0.05913978, 0. ],
[ 0. , 0. , 0.06372549, 0.90196078, 0.03431373],
[ 0. , 0. , 0. , 0.19444444, 0.80555556]],
[[ 0.84693878, 0.15306122, 0. , 0. , 0. ],
[ 0.08133971, 0.78947368, 0.1291866 , 0. , 0. ],
[ 0.00518135, 0.0984456 , 0.79274611, 0.0984456 , 0.00518135],
[ 0. , 0. , 0.09411765, 0.87058824, 0.03529412],
[ 0. , 0. , 0. , 0.10204082, 0.89795918]],
[[ 0.8852459 , 0.09836066, 0. , 0.01639344, 0. ],
[ 0.03875969, 0.81395349, 0.13953488, 0. , 0.00775194],
[ 0.0049505 , 0.09405941, 0.77722772, 0.11881188, 0.0049505 ],
[ 0. , 0.02339181, 0.12865497, 0.75438596, 0.09356725],
[ 0. , 0. , 0. , 0.09661836, 0.90338164]],
[[ 0.33333333, 0.66666667, 0. , 0. , 0. ],
[ 0.0483871 , 0.77419355, 0.16129032, 0.01612903, 0. ],
[ 0.01149425, 0.16091954, 0.74712644, 0.08045977, 0. ],
[ 0. , 0.01036269, 0.06217617, 0.89637306, 0.03108808],
[ 0. , 0. , 0. , 0.02352941, 0.97647059]]]
)
def setUp(self):
plpy._reset()
self.cluster_data = json.loads(open(fixture_file('kmeans.json')).read())
self.params = {"subquery": "select * from table",
"no_clusters": "10"
}
def setUp(self):
plpy._reset()
self.cluster_data = json.loads(
open(fixture_file('kmeans.json')).read())
self.params = {"subquery": "select * from table", "no_clusters": "10"}
def setUp(self):
plpy._reset()
def setUp(self):
plpy._reset()
