Issue #112 interactive_gh uses global data

interactive_gh() uses zs, which is global data, so if you run
another cell that assigns to z, then drag the sliders without
rerunning the cell that uses interactive_gh(), you get the
reassigned zs value.

01-g-h-filter.ipynb

@@ -420,7 +420,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Average of measurements is 164.9738\n"
+      "Average of measurements is 165.0058\n"
      ]
     }
    ],
@@ -453,7 +453,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Average of measurements is 165.0411\n"
+      "Average of measurements is 165.0327\n"
      ]
     }
    ],
@@ -6883,7 +6883,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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truncated
+       "<img src=\"data:image/png;base64,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 truncated
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -7687,7 +7687,7 @@
     {
      "data": {
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       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -7699,7 +7699,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x1d647bca5f8>]"
+       "[<matplotlib.lines.Line2D at 0x2ac168fdd30>]"
       ]
      },
      "execution_count": 26,
@@ -8518,7 +8518,7 @@
     {
      "data": {
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truncated
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -14295,20 +14295,20 @@
    "source": [
     "from ipywidgets import interact, FloatSlider\n",
     "\n",
-    "zs = gen_data(x0=5, dx=5, count=100, noise_factor=50)\n",
+    "zs1 = gen_data(x0=5, dx=5, count=100, noise_factor=50)\n",
     "\n",
     "fig = None\n",
     "def interactive_gh(x, dx, g, h):\n",
     "    global fig\n",
     "    if fig is not None: plt.close(fig)\n",
     "    fig = plt.figure()\n",
-    "    data = g_h_filter(data=zs, x0=x, dx=dx, g=g, h=h)\n",
-    "    plt.scatter(range(len(zs)), zs, edgecolor='k', \n",
+    "    data = g_h_filter(data=zs1, x0=x, dx=dx, g=g, h=h)\n",
+    "    plt.scatter(range(len(zs1)), zs1, edgecolor='k', \n",
     "                marker='+', lw=1)\n",
     "    plt.plot(data, color='b')\n",
     "\n",
     "interact(interactive_gh,           \n",
-    "         x=FloatSlider(value=0., min=-50, max=50., continuous_update=False), \n",
+    "         x=FloatSlider(value=0., min=-200, max=200., continuous_update=False), \n",
     "         dx=FloatSlider(value=5., min=-50., max=50., continuous_update=False), \n",
     "         g=FloatSlider(value=0.1, min=0.01, max=2, step=.02, continuous_update=False), \n",
     "         h=FloatSlider(value=0.02, min=0.0, max=0.5, step=0.01, continuous_update=False));"
@@ -16780,7 +16780,8 @@
    "cell_type": "code",
    "execution_count": 42,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "scrolled": true
    },
    "outputs": [
     {
@@ -20999,7 +21000,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },