Updated Spikes examples in notebooks

doc/Tutorials/Elements.ipynb

@@ -486,7 +486,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes [spike_height=0.1] (alpha=0.4)\n",
+    "%%opts Spikes (alpha=0.4)\n",
     "xs = np.random.rand(50)\n",
     "ys = np.random.rand(50)\n",
     "hv.Points((xs, ys)) * hv.Spikes(xs)"
@@ -507,15 +507,15 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes (cmap='Blues')\n",
+    "%%opts Spikes (cmap='Reds')\n",
     "hv.Spikes(np.random.rand(20, 2), kdims=['Mass'], vdims=['Intensity'])"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Another possibility is to draw a number of spike trains as you would encounter in neuroscience:"
+    "Another possibility is to draw a number of spike trains as you would encounter in neuroscience. Here we generate 10 separate random spike trains and distribute them evenly across the space by setting their ``position``. By also declaring some yticks each spike traing can be labeled individually:"
    ]
   },
   {
@@ -526,16 +526,16 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes [spike_height=0.1] NdOverlay [show_legend=False]\n",
-    "hv.NdOverlay({i: hv.Spikes(np.random.rand(10, 1))(plot=dict(yposition=0.1*i))\n",
-    "              for i in range(10)})(plot=dict(yticks=[((i+1)*0.1-0.05, i)for i in range(10)]))"
+    "%%opts Spikes NdOverlay [show_legend=False]\n",
+    "hv.NdOverlay({i: hv.Spikes(np.random.randint(0, 100, 10), kdims=['Time'])(plot=dict(position=0.1*i))\n",
+    "              for i in range(10)})(plot=dict(yticks=[((i+1)*0.1-0.05, i) for i in range(10)]))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Finally we may use ``Spikes`` to adjoin to a regular plot to visualize marginal distributions:"
+    "Finally we may use ``Spikes`` to visualize marginal distributions as adjoined plots:"
    ]
   },
   {
@@ -546,8 +546,8 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes (alpha=0.4) [bgcolor='w'] AdjointLayout [border_size=0]\n",
-    "points = hv.Points(np.random.randn(100, 2))\n",
+    "%%opts Spikes (alpha=0.05) [spike_length=0.5] AdjointLayout [border_size=0]\n",
+    "points = hv.Points(np.random.randn(500, 2))\n",
     "points << hv.Spikes(points['y']) << hv.Spikes(points['x'])"
    ]
   },