Convert ch12 raw cells to Markdown with Python highlighting. Close wesm#68

Author: wesm

ch12.ipynb

@@ -751,79 +751,91 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "df = load_data()\n",
     "df2 = df[df['col2'] < 0]\n",
     "df2['col1_demeaned'] = df2['col1'] - df2['col1'].mean()\n",
-    "result = df2.groupby('key').col1_demeaned.std()"
+    "result = df2.groupby('key').col1_demeaned.std()\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "# Usual non-functional way\n",
     "df2 = df.copy()\n",
     "df2['k'] = v\n",
     "\n",
     "# Functional assign way\n",
-    "df2 = df.assign(k=v)"
+    "df2 = df.assign(k=v)\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "result = (df2.assign(col1_demeaned=df2.col1 - df2.col2.mean())\n",
     "          .groupby('key')\n",
-    "          .col1_demeaned.std())"
+    "          .col1_demeaned.std())\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "df = load_data()\n",
-    "df2 = df[df['col2'] < 0]"
+    "df2 = df[df['col2'] < 0]\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "df = (load_data()\n",
-    "      [lambda x: x['col2'] < 0])"
+    "      [lambda x: x['col2'] < 0])\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "result = (load_data()\n",
     "          [lambda x: x.col2 < 0]\n",
     "          .assign(col1_demeaned=lambda x: x.col1 - x.col1.mean())\n",
     "          .groupby('key')\n",
-    "          .col1_demeaned.std())"
+    "          .col1_demeaned.std())\n",
+    "```"
    ]
   },
   {
@@ -837,71 +849,81 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "a = f(df, arg1=v1)\n",
     "b = g(a, v2, arg3=v3)\n",
-    "c = h(b, arg4=v4)"
+    "c = h(b, arg4=v4)\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "result = (df.pipe(f, arg1=v1)\n",
     "          .pipe(g, v2, arg3=v3)\n",
-    "          .pipe(h, arg4=v4))"
+    "          .pipe(h, arg4=v4))\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "g = df.groupby(['key1', 'key2'])\n",
-    "df['col1'] = df['col1'] - g.transform('mean')"
+    "df['col1'] = df['col1'] - g.transform('mean')\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "def group_demean(df, by, cols):\n",
     "    result = df.copy()\n",
     "    g = df.groupby(by)\n",
     "    for c in cols:\n",
     "        result[c] = df[c] - g[c].transform('mean')\n",
-    "    return result"
+    "    return result\n",
+    "```"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {
     "deletable": true,
     "editable": true
    },
    "source": [
+    "```python\n",
     "result = (df[df.col1 < 0]\n",
-    "          .pipe(group_demean, ['key1', 'key2'], ['col1']))"
+    "          .pipe(group_demean, ['key1', 'key2'], ['col1']))\n",
+    "```"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
+    "collapsed": true,
     "deletable": true,
     "editable": true
    },
@@ -937,7 +959,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,