ENH, TST: use builtin float to avoid deprecated warnings and add tests for dtype

Author: Smit-create

quantecon/ecdf.py

@@ -51,4 +51,4 @@ def __call__(self, x):
         def f(a):
             return np.mean(self.observations <= a)
         vf = np.frompyfunc(f, 1, 1)
-        return vf(x).astype(np.float)
+        return vf(x).astype(float)

quantecon/tests/test_ecdf.py

@@ -34,6 +34,10 @@ def test_ascending(self):
     def test_vectorized(self):
         "ecdf: testing vectorized __call__ method"
         t = np.linspace(-1, 1, 100)
-        self.assertEqual(t.shape, self.ecdf(t).shape)
+        e = self.ecdf(t)
+        self.assertEqual(t.shape, e.shape)
+        self.assertEqual(e.dtype, float)
         t = np.linspace(-1, 1, 100).reshape(2, 2, 25)
-        self.assertEqual(t.shape, self.ecdf(t).shape)
+        e = self.ecdf(t)
+        self.assertEqual(t.shape, e.shape)
+        self.assertEqual(e.dtype, float)