public void xtestNullNaNHandling() throws Exception {
// create a feature collection
SimpleFeatureType ft =
DataUtilities.createType("classification.nullnan", "id:0,foo:int,bar:double");
Integer iVal[] =
new Integer[] {
new Integer(0),
new Integer(0),
new Integer(0),
new Integer(13),
new Integer(13),
new Integer(13),
null,
null,
null
};
Double dVal[] =
new Double[] {
new Double(0.0),
new Double(50.01),
null,
new Double(0.0),
new Double(50.01),
null,
new Double(0.0),
new Double(50.01),
null
};
SimpleFeature[] testFeatures = new SimpleFeature[iVal.length];
for (int i = 0; i < iVal.length; i++) {
testFeatures[i] =
SimpleFeatureBuilder.build(
ft,
new Object[] {
new Integer(i + 1), iVal[i], dVal[i],
},
"nantest.t" + (i + 1));
}
MemoryDataStore store = new MemoryDataStore();
store.createSchema(ft);
store.addFeatures(testFeatures);
FeatureCollection<SimpleFeatureType, SimpleFeature> thisFC =
store.getFeatureSource("nullnan").getFeatures();
// create the expression
Divide divide = ff.divide(ff.property("foo"), ff.property("bar"));
QuantileFunction qf = (QuantileFunction) ff.function("Quantile", divide, ff.literal(3));
RangedClassifier range = (RangedClassifier) qf.evaluate(thisFC);
assertEquals(2, range.getSize()); // 2 or 3?
assertEquals("0..0", range.getTitle(0));
assertEquals("0..0.25995", range.getTitle(1));
}
public void testSetParameters() throws Exception {
Literal classes = ff.literal(3);
PropertyName expr = ff.property("foo");
QuantileFunction func = (QuantileFunction) ff.function("Quantile", expr, classes);
assertEquals(3, func.getClasses());
classes = ff.literal(12);
func = (QuantileFunction) ff.function("Quantile", expr, classes);
assertEquals(12, func.getClasses());
// deprecated still works?
classes = ff.literal(5);
func = (QuantileFunction) ff.function("Quantile", expr, classes);
assertEquals(5, func.getClasses());
}
