Plots: use bar-plot instead of point-plot until matplotlib issue #865…

…8 is fixed. See: #7
tritemio · Jun 20, 2017 · 39267a0 · 39267a0
1 parent 3e6fb18
commit 39267a0
Showing 1 changed file with 47 additions and 51 deletions.
diff --git a/doc/notebooks/pybroom-example-multi-datasets-scipy-robust-fit.ipynb b/doc/notebooks/pybroom-example-multi-datasets-scipy-robust-fit.ipynb
@@ -19,9 +19,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -51,7 +49,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -82,7 +80,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -93,7 +91,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -106,7 +104,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -117,9 +115,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "Y_data = np.zeros((N, x.size))\n",
@@ -130,7 +126,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -152,7 +148,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
+    "collapsed": true,
     "scrolled": true
    },
    "outputs": [],
@@ -165,9 +161,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "plt.plot(x, Y_data.T, 'ok', alpha=0.1);\n",
@@ -203,7 +197,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -228,7 +222,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -238,9 +232,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "type(result), type(result[0]), type(result[1])"
@@ -249,9 +241,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "result[0]"
@@ -278,9 +268,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "p = Params(*result[0])\n",
@@ -333,7 +321,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -360,7 +348,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -384,9 +372,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dg_tot = br.glance(Results, var_names=['loss', 'dataset'])\n",
@@ -396,9 +382,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dg_tot.success.all()"
@@ -418,9 +402,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "pnames = 'a1 a2 mu1 mu2 sig1 sig2'\n",
@@ -455,9 +437,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "kws = dict(bins = np.arange(-2, 4, 0.1), histtype='step', lw=2)\n",
@@ -471,9 +451,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "kws = dict(bins = np.arange(0, 4, 0.1), histtype='step', lw=2)\n",
@@ -495,12 +473,12 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "scrolled": false
    },
    "outputs": [],
    "source": [
-    "sns.factorplot(x='loss', y='value', data=dt_tot, col='name', hue='loss', \n",
-    "               col_wrap=4, kind='point', sharey=False);"
+    "sns.factorplot(x='loss', y='value', data=dt_tot, col='name', hue='loss',\n",
+    "               col_wrap=4, kind='box', sharey=False);"
    ]
   },
   {
@@ -538,9 +516,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "grid = sns.FacetGrid(dt_tot.query('dataset < 9'), col='dataset', hue='loss', col_wrap=3)\n",
@@ -567,7 +543,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },
@@ -582,8 +558,28 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.5.2"
+  },
+  "toc": {
+   "colors": {
+    "hover_highlight": "#DAA520",
+    "running_highlight": "#FF0000",
+    "selected_highlight": "#FFD700"
+   },
+   "moveMenuLeft": true,
+   "nav_menu": {
+    "height": "135px",
+    "width": "253px"
+   },
+   "navigate_menu": true,
+   "number_sections": false,
+   "sideBar": true,
+   "threshold": 4,
+   "toc_cell": false,
+   "toc_section_display": "block",
+   "toc_window_display": false,
+   "widenNotebook": false
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }