replacing dict with ordered dict
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@ -7,6 +7,7 @@ Moran's I geostatistics (global clustering & outliers presence)
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import pysal as ps
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import plpy
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from collections import OrderedDict
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# crankshaft module
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import crankshaft.pysal_utils as pu
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@ -21,11 +22,11 @@ def moran(subquery, attr_name,
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core clusters with PySAL.
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Andy Eschbacher
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"""
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qvals = {"id_col": id_col,
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"attr1": attr_name,
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"geom_col": geom_col,
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"subquery": subquery,
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"num_ngbrs": num_ngbrs}
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qvals = OrderedDict([("id_col", id_col),
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("attr1", attr_name),
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("geom_col", geom_col),
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("subquery", subquery),
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("num_ngbrs", num_ngbrs)])
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query = pu.construct_neighbor_query(w_type, qvals)
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@ -65,11 +66,11 @@ def moran_local(subquery, attr,
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# geometries with attributes that are null are ignored
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# resulting in a collection of not as near neighbors
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qvals = {"id_col": id_col,
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"attr1": attr,
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"geom_col": geom_col,
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"subquery": subquery,
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"num_ngbrs": num_ngbrs}
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qvals = OrderedDict([("id_col", id_col),
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("attr1", attr_name),
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("geom_col", geom_col),
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("subquery", subquery),
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("num_ngbrs", num_ngbrs)])
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query = pu.construct_neighbor_query(w_type, qvals)
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@ -101,12 +102,12 @@ def moran_rate(subquery, numerator, denominator,
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Moran's I Rate (global)
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Andy Eschbacher
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"""
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qvals = {"id_col": id_col,
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"attr1": numerator,
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"attr2": denominator,
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"geom_col": geom_col,
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"subquery": subquery,
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"num_ngbrs": num_ngbrs}
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qvals = OrderedDict([("id_col", id_col),
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("attr1", numerator),
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("attr2", denominator)
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("geom_col", geom_col),
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("subquery", subquery),
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("num_ngbrs", num_ngbrs)])
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query = pu.construct_neighbor_query(w_type, qvals)
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@ -145,13 +146,14 @@ def moran_local_rate(subquery, numerator, denominator,
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# geometries with values that are null are ignored
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# resulting in a collection of not as near neighbors
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query = pu.construct_neighbor_query(w_type,
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{"id_col": id_col,
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"numerator": numerator,
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"denominator": denominator,
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"geom_col": geom_col,
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"subquery": subquery,
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"num_ngbrs": num_ngbrs})
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qvals = OrderedDict([("id_col", id_col),
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("numerator", numerator),
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("denominator", denominator),
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("geom_col": geom_col),
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("subquery", subquery),
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("num_ngbrs", num_ngbrs)])
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query = pu.construct_neighbor_query(w_type, qvals)
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try:
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result = plpy.execute(query)
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@ -186,12 +188,12 @@ def moran_local_bv(subquery, attr1, attr2,
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"""
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plpy.notice('** Constructing query')
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qvals = {"num_ngbrs": num_ngbrs,
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"attr1": attr1,
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"attr2": attr2,
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"subquery": subquery,
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"geom_col": geom_col,
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"id_col": id_col}
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qvals = OrderedDict([("id_col", id_col),
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("attr1", attr1),
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("attr2", attr2),
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("geom_col": geom_col),
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("subquery", subquery),
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("num_ngbrs", num_ngbrs)])
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query = pu.construct_neighbor_query(w_type, qvals)
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