henrypan
diff --git a/‎plotly/tests/test_optional/test_opt_tracefactory.py
Lines changed: 0 additions & 21 deletions b/‎plotly/tests/test_optional/test_opt_tracefactory.py
Lines changed: 0 additions & 21 deletions
@@ -93,24 +93,3 @@ def test_simple_streamline(self):
         self.assertAlmostEqual(strmln['y'][0:100], expected_strmln_0_100['y'])
         self.assertAlmostEqual(strmln['x'][0:100], expected_strmln_0_100['x'])
 
-    def test_numpy_streamline(self):
-
-        # check that streamline results as expected when x, y, u and v are
-        # defined with numpy (typical use)
-
-        x = np.linspace(-3, 3, 100)
-        y = np.linspace(-3, 3, 100)
-        Y, X = np.meshgrid(x, y)
-        u = -1 - X**2 + Y
-        v = 1 + X - Y**2
-        streamline = tls.TraceFactory.create_streamline(x, y, u, v,
-                                                        arrow_scale=.1,
-                                                        density=3)
-        expected_streamline = {
-            'y': [0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393049198, 0.0018922002393044757, 0.0018922002393040316, 0.0018922002393022552, 0.0018922002392969262, 0.001892200239281383, 0.0018922002392334214, 0.0018922002390828752, 0.001892200238609476, 0.0018922002371390967, 0.0018922002325685305, 0.001892200218438056, 0.0018922001749084316, 0.0018922000414152151, 0.0018921996341290104, 0.0018921983989277358, 0.0018921946791010669, 0.0018921835702832013, 0.0018921507305122987, 0.0018920548629908218, 0.0018917794342634409, 0.0018910045248765606, 0.0018888860033485777, 0.001883330861293775, 0.00186969877142662, 0.0018400887882492611, 0.001792611800322419, 0.0017993604930395257, 0.0023459865813966196, 0.005768713743637743, 0.02122353426458945, 0.049323537523347394, 0.07755934266944609],
-            'x': [1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645543, 1.000918273645544, 1.0009182736455449, 1.0009182736455466, 1.0009182736455546, 1.0009182736455813, 1.00091827364567, 1.0009182736459632, 1.0009182736469233, 1.00091827365008, 1.0009182736604547, 1.000918273694551, 1.000918273806616, 1.000918274174933, 1.0009182753854606, 1.0009182793640328, 1.0009182924401863, 1.000918335416853, 1.0009184766659116, 1.0009189409018102, 1.000920466685284, 1.000925481451195, 1.0009419639631494, 1.0009961490137123, 1.0011745163431298, 1.0017672338974037, 1.0039090426442545, 1.0110879873093834, 1.0202616741544626],
-            'type': 'scatter',
-            'mode': 'lines'
-        }
-        self.assertAlmostEqual(streamline['y'][0:100], expected_streamline['y'])
-        self.assertAlmostEqual(streamline['x'][0:100], expected_streamline['x'])