addition to csv reading

Author: Pia Sommerauer

Chapters/Chapter 16 - Data formats I (CSV and TSV).ipynb

@@ -415,16 +415,39 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "An example of how you can do this is shown below:"
+    "Can you complete the example below?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Word roadsweeper\n",
+      "Bigram 0\n",
+      "Conc.M 4.85\n",
+      "Conc.SD 0.37\n",
+      "Unknown 1\n",
+      "Total 27\n",
+      "Percent_known 0.96\n",
+      "SUBTLEX 0\n",
+      "Dom_Pos 0\n",
+      "Word traindriver\n",
+      "Bigram 0\n",
+      "Conc.M 4.54\n",
+      "Conc.SD 0.71\n",
+      "Unknown 3\n",
+      "Total 29\n",
+      "Percent_known 0.90\n",
+      "SUBTLEX 0\n",
+      "Dom_Pos 0\n"
+     ]
+    }
+   ],
    "source": [
     "data_dict_list = []\n",
     "\n",
@@ -435,11 +458,14 @@
     "headers = lines[0]\n",
     "\n",
     "# we consider everythin following the header row as data\n",
-    "for line in lines[1:]:\n",
+    "for line in lines[1:3]:\n",
     "    line_list = line.split('\\t')\n",
-    "    header_list = line.split('\\t')\n",
+    "    header_list = headers.split('\\t')\n",
     "    row_dict = dict()\n",
+    "        \n",
     "    # can you think of a way to fill the row dict? \n",
+    "    # hint: check out the zip function\n",
+    "    # zip for iterating over two lists at the same time\n",
     "    \n",
     "    ### YOUR CODE ####\n",
     "    \n",