Perform VisualTest::DrawEmpiricalCDF

xMin & xMax are now optional
Also, add a missing dimension check

Author: Sofiane HADDAD

lib/src/Uncertainty/StatTests/VisualTest.cxx

@@ -40,11 +40,21 @@ VisualTest::VisualTest()
 {
 }
 
+/* Draw the empirical CDF of the Sample when its dimension is 1 */
+Graph VisualTest::DrawEmpiricalCDF(const Sample & sample)
+{
+  if (sample.getDimension() != 1)
+    throw InvalidDimensionException(HERE) << "In VisualTest::DrawEmpiricalCDF: sample should be of dimension 1, here dimension=" << sample.getDimension();
+  return UserDefined(sample).drawCDF();
+}
+
 /* Draw the empirical CDF of the Sample when its dimension is 1 */
 Graph VisualTest::DrawEmpiricalCDF(const Sample & sample,
                                    const Scalar xMin,
                                    const Scalar xMax)
 {
+  if (sample.getDimension() != 1)
+    throw InvalidDimensionException(HERE) << "In VisualTest::DrawEmpiricalCDF: sample should be of dimension 1, here dimension=" << sample.getDimension();
   return UserDefined(sample).drawCDF(xMin, xMax);
 }
 

lib/src/Uncertainty/StatTests/openturns/VisualTest.hxx

@@ -40,6 +40,8 @@ public:
 
 
   /** Draw the empirical CDF of the Sample when its dimension is 1 */
+  static Graph DrawEmpiricalCDF(const Sample & sample);
+
   static Graph DrawEmpiricalCDF(const Sample & sample,
                                 const Scalar xMin,
                                 const Scalar xMax);

python/src/VisualTest_doc.i.in

@@ -268,6 +268,7 @@ Draw an histogram:
 "Draw an empirical CDF.
 
 Available usages:
+    VisualTest.DrawEmpiricalCDF(*sample*)
     VisualTest.DrawEmpiricalCDF(*sample, Xmin, Xmax*)
 
 Parameters
@@ -296,12 +297,10 @@ Generate a random sample from a Normal distribution:
 
 >>> ot.RandomGenerator.SetSeed(0)
 >>> sample = ot.Normal(1).getSample(100)
->>> Xmin = sample.getMin()[0]
->>> Xmax = sample.getMax()[0]
 
 Draw an empirical CDF:
 
->>> empiricalCDF = ot.VisualTest.DrawEmpiricalCDF(sample, Xmin - 1.0, Xmax + 1.0)
+>>> empiricalCDF = ot.VisualTest.DrawEmpiricalCDF(sample)
 >>> View(empiricalCDF).show()"
 
 // ---------------------------------------------------------------------