add option for array of ones
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@@ -18,9 +18,10 @@ class MaxP:
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else:
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self.data_provider = AnalysisDataProvider()
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def maxp(self, subquery, colnames, floor_variable,
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def maxp(self, subquery, colnames, floor_variable=None,
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floor=1,
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geom_col='the_geom', id_col='cartodb_id'):
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geom_col='the_geom', id_col='cartodb_id',
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):
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"""
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Inputs:
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@param subquery (text): subquery to expose the data need for the
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@@ -50,13 +51,18 @@ class MaxP:
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resp = self.data_provider.get_maxp(params)
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attr_vals = pu.get_attributes(resp, len(colnames))
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floor_column_id = colnames.index(floor_variable)
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# print "floor_column_id: ", floor_column_id
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weight = pu.get_weight(resp, w_type='queen')
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if floor_variable == None:
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floor_variable = np.ones((weight.n, 1)))
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else:
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floor_column_id = colnames.index(floor_variable)
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floor_variable = attr_vals.transpose()[floor_column_id]
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start_time = time.time()
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r = ps.Maxp(weight, attr_vals,
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floor=floor,
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floor_variable= attr_vals.transpose()[floor_column_id],
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floor_variable= floor_variable,
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initial=10)
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# print r.regions
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cluster_classes = get_cluster_classes(weight.id_order, r.regions)
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@@ -66,7 +72,6 @@ class MaxP:
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weight.id_order)
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def get_cluster_classes(ids, clusters):
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"""
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