Updates in iPython Notebook demo

demos/Wiener_Filter.ipynb

@@ -93,6 +93,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "-"
     }
@@ -160,6 +161,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "-"
     }
@@ -223,7 +225,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s_space = ift.RGSpace(N_pixels)\n",
@@ -264,6 +268,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "-"
     }
@@ -288,6 +293,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "-"
     }
@@ -408,6 +414,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "skip"
     }
@@ -441,6 +448,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "-"
     }
@@ -463,6 +471,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "skip"
     }
@@ -496,7 +505,7 @@
    "source": [
     "sc = ift.probing.utils.StatCalculator()\n",
     "for i in range(200):\n",
-    "    print i\n",
+    "    print(i)\n",
     "    sc.add(HT(curv.generate_posterior_sample()))\n",
     "\n",
     "m_var = sc.var"
@@ -517,6 +526,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "collapsed": true,
     "slideshow": {
      "slide_type": "skip"
     }
@@ -568,7 +578,7 @@
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15,10))\n",
-    "plt.plot(s_data, 'g', label=\"Signal\", alpha=1, linewidth=1)\n",
+    "plt.plot(s_data, 'g', label=\"Signal\", alpha=1, linewidth=4)\n",
     "plt.plot(d_data, 'k+', label=\"Data\", alpha=.5)\n",
     "plt.plot(m_data, 'r', label=\"Reconstruction\")\n",
     "plt.axvspan(l, h, facecolor='0.8', alpha=.5)\n",
@@ -591,7 +601,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "N_pixels = 256      # Number of pixels\n",
@@ -657,7 +669,7 @@
     "curv = ift.library.wiener_filter_curvature.WienerFilterCurvature(R,N,Sh,inverter)\n",
     "\n",
     "for i in range(20):\n",
-    "    print i\n",
+    "    print(i)\n",
     "    sc.add(HT(curv.generate_posterior_sample()))\n",
     "\n",
     "m_var = sc.var\n",
@@ -781,21 +793,21 @@
  "metadata": {
   "celltoolbar": "Slideshow",
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.12"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,