Updated tests and Tutorial after color_index/size_index changes

holoviz · Mar 10, 2017 · 75a7e8f · 75a7e8f
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Showing 4 changed files with 5 additions and 4 deletions.
diff --git a/doc/Tutorials/Columnar_Data.ipynb b/doc/Tutorials/Columnar_Data.ipynb
@@ -853,7 +853,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Scatter [scaling_method='width' scaling_factor=2] (color=Palette('Set3') edgecolors='k')\n",
+    "%%opts Scatter [scaling_method='width' scaling_factor=2 size_index=2] (color=Palette('Set3') edgecolors='k')\n",
     "gdp_unem_scatter = macro.to.scatter('Year', ['GDP Growth', 'Unemployment'])\n",
     "gdp_unem_scatter.overlay('Country')"
    ]

diff --git a/doc/Tutorials/Containers.ipynb b/doc/Tutorials/Containers.ipynb
@@ -257,7 +257,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts VectorField (color='r') Image (cmap='gray')\n",
+    "%%opts VectorField [size_index=2] (color='r') Image (cmap='gray')\n",
     "x,y  = np.mgrid[-10:10,-10:10] * 0.25\n",
     "sine_rings  = np.sin(x**2+y**2)*np.pi+np.pi\n",
     "exp_falloff = 1/np.exp((x**2+y**2)/8)\n",

diff --git a/doc/Tutorials/Elements.ipynb b/doc/Tutorials/Elements.ipynb
@@ -690,6 +690,7 @@
    },
    "outputs": [],
    "source": [
+    "%%opts VectorField [size_index=3]\n",
     "y,x  = np.mgrid[-10:10,-10:10] * 0.25\n",
     "sine_rings  = np.sin(x**2+y**2)*np.pi+np.pi\n",
     "exp_falloff = 1/np.exp((x**2+y**2)/8)\n",
@@ -715,7 +716,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts VectorField.A [color_index=2] VectorField.M [color_index=3]\n",
+    "%%opts VectorField [size_index=3] VectorField.A [color_index=2] VectorField.M [color_index=3]\n",
     "hv.VectorField(vector_data, group='A') + hv.VectorField(vector_data, group='M')"
    ]
   },

diff --git a/tests/testplotinstantiation.py b/tests/testplotinstantiation.py
@@ -347,7 +347,7 @@ def test_points_colormapping(self):
 
     def test_points_colormapping_categorical(self):
         points = Points([(i, i*2, i*3, chr(65+i)) for i in range(10)],
-                         vdims=['a', 'b'])
+                         vdims=['a', 'b'])(plot=dict(color_index='b'))
         plot = bokeh_renderer.get_plot(points)
         plot.initialize_plot()
         fig = plot.state