WIP

PaintingPandas.ipynb

@@ -2,7 +2,7 @@
  "metadata": {
   "celltoolbar": "Slideshow",
   "name": "",
-  "signature": "sha256:e3a9c2db1ada7191abdcfbc0a9c2f98d21b831cf50379d3e2dab9393c30cb164"
+  "signature": "sha256:c960d1a8def7b2e949731bbbf428cf4136ae762f97e72489fd64795f06833637"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -18,11 +18,16 @@
      },
      "source": [
       "\n",
-      "More on IPython and Python libraries making science peanuts..\n",
+      "Python Data Analysis and more IPython\n",
       "===\n",
+      "***\n",
       "\n",
-      "Lecture by: Wai Yi Leung < <w.y.leung@lumc.nl> >\n",
-      "\n"
+      "[Wai Yi Leung](mailto:w.y.leung@lumc.nl), [Sequencing Analysis Support Core, Leiden University Medical Center](http://sasc.lumc.nl)\n",
+      "\n",
+      "Based on: [Pandas Tutorials Lessons 1,2,3,6](http://pandas.pydata.org/pandas-docs/stable/tutorials.html), [Seaborn Colorpalettes](http://web.stanford.edu/~mwaskom/software/seaborn/tutorial/color_palettes.html)\n",
+      "\n",
+      "\n",
+      "License: [Creative Commons Attribution 3.0 License (CC-by)](http://creativecommons.org/licenses/by/3.0)"
      ]
     },
     {
@@ -49,9 +54,7 @@
      },
      "source": [
       "Pandas\n",
-      "===\n",
-      "\n",
-      "* The ultimate carpenters toolkit for bio-informaticians"
+      "===\n"
      ]
     },
     {
@@ -194,8 +197,8 @@
      "input": [
       "# Sample dataset\n",
       "participants = ['Andrew', 'Bruno', 'Christine', 'Don', 'Esther', \n",
-      "                'Frans', 'Ginny', 'Hendrik', 'Ivar', 'John', 'Karl', \n",
-      "                'Lotte', 'Marjolijn', 'Nora', 'Olivia', 'Paula', 'Quinta', 'Renatta']\n",
+      "                'Frans', 'Giselle', 'Hendrik', 'Ivar', 'John', 'Karl', \n",
+      "                'Lotte', 'Marjolein', 'Nora', 'Olivia', 'Paula', 'Quinta', 'Renatta']\n",
       "grades = [70, 65, 81, 73, 85, 35, 62, 60, 14, 64, 72, 75, 92, 84, 67, 72, 85, 82]\n",
       "sex = ['M','M','F','M','F','M','F','M','M','M','M', 'F', 'F', 'F', 'F', 'F', 'F', 'F']\n",
       "university = ['AU', 'NL', 'NL', 'AU', 'DE', 'DE', 'NL', 'NL', 'DE', 'AU', 'DE', 'NL', 'NL', 'AU', 'AU', 'DE', 'AU', 'DE']"
@@ -207,7 +210,7 @@
       }
      },
      "outputs": [],
-     "prompt_number": 2
+     "prompt_number": 4
     },
     {
      "cell_type": "markdown",
@@ -1370,11 +1373,58 @@
       "Acknowledgements\n",
       "===\n",
       "\n",
-      "* Pandas - \n",
       "* Martijn Vermaat for organizing this course\n",
       "\n",
       "(c) 2014 - Wai Yi Leung "
      ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "\n",
+      "from IPython.core.display import HTML\n",
+      "def custom_style():\n",
+      "    style = open('styles/notebook.css', 'r').read()\n",
+      "    return HTML('<style>' + style + '</style>')\n",
+      "def custom_script():\n",
+      "    script = open('styles/notebook.js', 'r').read()\n",
+      "    return HTML('<script>' + script + '</script>')\n",
+      "\n",
+      "custom_style()\n",
+      "\n",
+      "custom_script()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<script>// https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers\n",
+        "MathJax.Hub.Config({\n",
+        "                    TeX: {\n",
+        "                       extensions: [\"AMSmath.js\"]\n",
+        "                       },\n",
+        "            tex2jax: {\n",
+        "                inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
+        "                displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
+        "            },\n",
+        "            displayAlign: 'center', // Change this to 'center' to center equations.\n",
+        "            \"HTML-CSS\": {\n",
+        "                styles: {'.MathJax_Display': {\"margin\": 4}}\n",
+        "            }\n",
+        "    });\n",
+        "</script>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 2,
+       "text": [
+        "<IPython.core.display.HTML at 0x1fb7050>"
+       ]
+      }
+     ],
+     "prompt_number": 2
     }
    ],
    "metadata": {}