|
|
@@ -835,46 +835,7 @@
|
|
|
"source": [
|
|
|
"Some tags are very, very broad and are unlikely to be useful; e.g.: `python`, `dataset`, `r`. Before we investigate the tags a little deeper, let's repeat the same process for views.\n",
|
|
|
"\n",
|
|
|
- "We'll use Python's builtin [`enumerate()`](https://docs.python.org/3/library/functions.html#enumerate) function. Its utility is well understood by seeing it action."
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "code",
|
|
|
- "execution_count": 11,
|
|
|
- "metadata": {},
|
|
|
- "outputs": [
|
|
|
- {
|
|
|
- "name": "stdout",
|
|
|
- "output_type": "stream",
|
|
|
- "text": [
|
|
|
- "0 I\n",
|
|
|
- "1 t\n",
|
|
|
- "2 e\n",
|
|
|
- "3 r\n",
|
|
|
- "4 a\n",
|
|
|
- "5 t\n",
|
|
|
- "6 e\n",
|
|
|
- "7 \n",
|
|
|
- "8 t\n",
|
|
|
- "9 h\n",
|
|
|
- "10 i\n",
|
|
|
- "11 s\n",
|
|
|
- "12 !\n"
|
|
|
- ]
|
|
|
- }
|
|
|
- ],
|
|
|
- "source": [
|
|
|
- "some_iterable = \"Iterate this!\"\n",
|
|
|
- "\n",
|
|
|
- "for i,c in enumerate(some_iterable):\n",
|
|
|
- " print(i,c)"
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "markdown",
|
|
|
- "metadata": {},
|
|
|
- "source": [
|
|
|
- "In addition to the elements of `some_iterable`, `enumerate` gives us the index of each of them."
|
|
|
+ "We'll use _pandas_'s [`pandas.DataFrame.iterrows()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.iterrows.html#pandas.DataFrame.iterrows). "
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
@@ -908,12 +869,12 @@
|
|
|
"source": [
|
|
|
"tag_view_count = dict()\n",
|
|
|
"\n",
|
|
|
- "for idx, tags in enumerate(questions[\"Tags\"]):\n",
|
|
|
- " for tag in tags:\n",
|
|
|
+ "for index, row in questions.iterrows():\n",
|
|
|
+ " for tag in row['Tags']:\n",
|
|
|
" if tag in tag_view_count:\n",
|
|
|
- " tag_view_count[tag] += questions[\"ViewCount\"].iloc[idx]\n",
|
|
|
+ " tag_view_count[tag] += row['ViewCount']\n",
|
|
|
" else:\n",
|
|
|
- " tag_view_count[tag] = questions[\"ViewCount\"].iloc[idx]\n",
|
|
|
+ " tag_view_count[tag] = row['ViewCount']\n",
|
|
|
" \n",
|
|
|
"tag_view_count = pd.DataFrame.from_dict(tag_view_count, orient=\"index\")\n",
|
|
|
"tag_view_count.rename(columns={0: \"ViewCount\"}, inplace=True)\n",
|
|
|
@@ -2224,7 +2185,7 @@
|
|
|
"ax2 = quarterly.plot(x=\"Quarter\", y=\"TotalQuestions\",\n",
|
|
|
" kind=\"bar\", ax=ax1, secondary_y=True, alpha=0.7, rot=45)\n",
|
|
|
"\n",
|
|
|
- "for idx, t in enumerate(quarterly[\"TotalQuestions\"]):\n",
|
|
|
+ "for idx, t in quarterly[\"TotalQuestions\"].iteritems():\n",
|
|
|
" ax2.text(idx, t, str(t), ha=\"center\", va=\"bottom\")\n",
|
|
|
"xlims = ax1.get_xlim()\n",
|
|
|
"\n",
|
Bruno