dedup tags

index.html

@@ -84,7 +84,7 @@ const decompress = (base64string) => {
 }
 
 
-let dataGz = '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 truncated
+let dataGz = '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 truncated
 let data = JSON.parse(decompress(dataGz))
 </script>
 <script>

nbs/mjc_006_2table.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -491,7 +491,7 @@
        "[13412 rows x 24 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -515,7 +515,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -529,9 +529,10 @@
     "d[\"url\"] = d[\"url\"].apply(lambda x: collapsibe('...', urls2a(x)))\n",
     "d[\"score\"] = d[\"score\"].round(2)\n",
     "\n",
-    "d['tags'] = d['tags'].apply(lambda x: \", \".join(x))\n",
-    "d['reviews_quotes'] = d['reviews_quotes'].apply(lambda x: \"- \" + \"<br> - \".join(x))\n",
-    "d['if_you_liked_x_you_will_like_this'] = d['if_you_liked_x_you_will_like_this'].apply(lambda x: \", \".join(x))\n",
+    "# TODO unique\n",
+    "d['tags'] = d['tags'].apply(lambda x: \", \".join(unique_elements(x)))\n",
+    "d['reviews_quotes'] = d['reviews_quotes'].apply(lambda x: \"- \" + \"<br> - \".join(unique_elements(x)))\n",
+    "d['if_you_liked_x_you_will_like_this'] = d['if_you_liked_x_you_will_like_this'].apply(lambda x: \", \".join(unique_elements(x)))\n",
     "\n",
     "# prefix = 'https://reddit.com/r/rational/comments/'\n",
     "prefix = 'https://reddit.com'\n",
@@ -548,7 +549,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -578,7 +579,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -635,7 +636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -687,7 +688,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1151,7 +1152,7 @@
        "[13412 rows x 24 columns]"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1163,7 +1164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {