notebooks/validate.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "730ba509",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d9acd4b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import sys\n",
    "proj_dir = Path.cwd().parent\n",
    "\n",
    "sys.path.append(str(proj_dir))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "62452860",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "00affc9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a106bb47c1194b15bc289d2ef24258af",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading readme:   0%|          | 0.00/804 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using custom data configuration derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading and preparing dataset None/None to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "705d55e70bf442f98a51dd0618a5c2c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "139220a81674444997f7657a4c2e1a01",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading data:   0%|          | 0.00/702k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1a361406937144cebd4ff6168e56ec3d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating all_days split:   0%|          | 0/3272 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset parquet downloaded and prepared to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4df7107473904386aebd66c543858abd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = load_dataset('derek-thomas/dataset-creator-askreddit', download_mode=\"reuse_cache_if_exists\", ignore_verifications=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ba84be68",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>score</th>\n",
       "      <th>num_comments</th>\n",
       "      <th>title</th>\n",
       "      <th>permalink</th>\n",
       "      <th>selftext</th>\n",
       "      <th>url</th>\n",
       "      <th>created_utc</th>\n",
       "      <th>author</th>\n",
       "      <th>id</th>\n",
       "      <th>downs</th>\n",
       "      <th>ups</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>Reddit, if someone had to describe you to a st...</td>\n",
       "      <td>/r/AskReddit/comments/15sn6y/reddit_if_someone...</td>\n",
       "      <td>They would be talking about you without your p...</td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
       "      <td>2013-01-01 23:59:40+00:00</td>\n",
       "      <td>[deleted]</td>\n",
       "      <td>15sn6y</td>\n",
       "      <td>0</td>\n",
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       "      <td>2013-01-01</td>\n",
       "      <td>23:59:40</td>\n",
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       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>What kind of car does the average \\nRedditor d...</td>\n",
       "      <td>/r/AskReddit/comments/15sn6m/what_kind_of_car_...</td>\n",
       "      <td>I've always wanted to know what kind of car th...</td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
       "      <td>2013-01-01 23:59:31+00:00</td>\n",
       "      <td>PaytonAdams</td>\n",
       "      <td>15sn6m</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>23:59:31</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>What movies have made you go back to the theat...</td>\n",
       "      <td>/r/AskReddit/comments/15sn6b/what_movies_have_...</td>\n",
       "      <td></td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
       "      <td>2013-01-01 23:59:20+00:00</td>\n",
       "      <td>[deleted]</td>\n",
       "      <td>15sn6b</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>23:59:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>Worst fear(s)?</td>\n",
       "      <td>/r/AskReddit/comments/15sn4u/worst_fears/</td>\n",
       "      <td>So what is your worst fear, reddit?</td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
       "      <td>2013-01-01 23:58:37+00:00</td>\n",
       "      <td>[deleted]</td>\n",
       "      <td>15sn4u</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>23:58:37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>If there was a type of ink that lasted only fo...</td>\n",
       "      <td>/r/AskReddit/comments/15sn44/if_there_was_a_ty...</td>\n",
       "      <td></td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
       "      <td>2013-01-01 23:58:15+00:00</td>\n",
       "      <td>Honeybeard</td>\n",
       "      <td>15sn44</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>23:58:15</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3267</th>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>Smokers of Reddit- What are your reasons for s...</td>\n",
       "      <td>/r/AskReddit/comments/15qzen/smokers_of_reddit...</td>\n",
       "      <td>I'm very curious as to what causes someone to ...</td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
       "      <td>2013-01-01 00:01:36+00:00</td>\n",
       "      <td>kelsofb</td>\n",
       "      <td>15qzen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>00:01:36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3268</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Hi</td>\n",
       "      <td>/r/AskReddit/comments/15qzei/hi/</td>\n",
       "      <td></td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
       "      <td>2013-01-01 00:01:34+00:00</td>\n",
       "      <td>ImJE5US</td>\n",
       "      <td>15qzei</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>00:01:34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3269</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>At the stroke of midnight I was writing this p...</td>\n",
       "      <td>/r/AskReddit/comments/15qzdx/at_the_stroke_of_...</td>\n",
       "      <td></td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
       "      <td>2013-01-01 00:01:15+00:00</td>\n",
       "      <td>Sangfroid_Sonder</td>\n",
       "      <td>15qzdx</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>00:01:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3270</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>With all the rape stories in the news, why don...</td>\n",
       "      <td>/r/AskReddit/comments/15qzdc/with_all_the_rape...</td>\n",
       "      <td></td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
       "      <td>2013-01-01 00:00:58+00:00</td>\n",
       "      <td>[deleted]</td>\n",
       "      <td>15qzdc</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>00:00:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3271</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Do beautiful people have low entropy?</td>\n",
       "      <td>/r/AskReddit/comments/15qzd3/do_beautiful_peop...</td>\n",
       "      <td>I have been reading about entropy and arrows o...</td>\n",
       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
       "      <td>2013-01-01 00:00:53+00:00</td>\n",
       "      <td>[deleted]</td>\n",
       "      <td>15qzd3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>00:00:53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3272 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      score  num_comments                                              title  \\\n",
       "0         2             4  Reddit, if someone had to describe you to a st...   \n",
       "1         5            24  What kind of car does the average \\nRedditor d...   \n",
       "2         1             5  What movies have made you go back to the theat...   \n",
       "3         0            18                                     Worst fear(s)?   \n",
       "4        11            29  If there was a type of ink that lasted only fo...   \n",
       "...     ...           ...                                                ...   \n",
       "3267      0            11  Smokers of Reddit- What are your reasons for s...   \n",
       "3268      1             4                                                 Hi   \n",
       "3269      1             2  At the stroke of midnight I was writing this p...   \n",
       "3270      1             2  With all the rape stories in the news, why don...   \n",
       "3271      0             3              Do beautiful people have low entropy?   \n",
       "\n",
       "                                              permalink  \\\n",
       "0     /r/AskReddit/comments/15sn6y/reddit_if_someone...   \n",
       "1     /r/AskReddit/comments/15sn6m/what_kind_of_car_...   \n",
       "2     /r/AskReddit/comments/15sn6b/what_movies_have_...   \n",
       "3             /r/AskReddit/comments/15sn4u/worst_fears/   \n",
       "4     /r/AskReddit/comments/15sn44/if_there_was_a_ty...   \n",
       "...                                                 ...   \n",
       "3267  /r/AskReddit/comments/15qzen/smokers_of_reddit...   \n",
       "3268                   /r/AskReddit/comments/15qzei/hi/   \n",
       "3269  /r/AskReddit/comments/15qzdx/at_the_stroke_of_...   \n",
       "3270  /r/AskReddit/comments/15qzdc/with_all_the_rape...   \n",
       "3271  /r/AskReddit/comments/15qzd3/do_beautiful_peop...   \n",
       "\n",
       "                                               selftext  \\\n",
       "0     They would be talking about you without your p...   \n",
       "1     I've always wanted to know what kind of car th...   \n",
       "2                                                         \n",
       "3                   So what is your worst fear, reddit?   \n",
       "4                                                         \n",
       "...                                                 ...   \n",
       "3267  I'm very curious as to what causes someone to ...   \n",
       "3268                                                      \n",
       "3269                                                      \n",
       "3270                                                      \n",
       "3271  I have been reading about entropy and arrows o...   \n",
       "\n",
       "                                                    url  \\\n",
       "0     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
       "1     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
       "2     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
       "3     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
       "4     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
       "...                                                 ...   \n",
       "3267  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
       "3268  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
       "3269  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
       "3270  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
       "3271  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
       "\n",
       "                   created_utc            author      id  downs  ups  \\\n",
       "0    2013-01-01 23:59:40+00:00         [deleted]  15sn6y      0    2   \n",
       "1    2013-01-01 23:59:31+00:00       PaytonAdams  15sn6m      0    5   \n",
       "2    2013-01-01 23:59:20+00:00         [deleted]  15sn6b      0    1   \n",
       "3    2013-01-01 23:58:37+00:00         [deleted]  15sn4u      0    0   \n",
       "4    2013-01-01 23:58:15+00:00        Honeybeard  15sn44      0   11   \n",
       "...                        ...               ...     ...    ...  ...   \n",
       "3267 2013-01-01 00:01:36+00:00           kelsofb  15qzen      0    0   \n",
       "3268 2013-01-01 00:01:34+00:00           ImJE5US  15qzei      0    1   \n",
       "3269 2013-01-01 00:01:15+00:00  Sangfroid_Sonder  15qzdx      0    1   \n",
       "3270 2013-01-01 00:00:58+00:00         [deleted]  15qzdc      0    1   \n",
       "3271 2013-01-01 00:00:53+00:00         [deleted]  15qzd3      0    0   \n",
       "\n",
       "            date      time  \n",
       "0     2013-01-01  23:59:40  \n",
       "1     2013-01-01  23:59:31  \n",
       "2     2013-01-01  23:59:20  \n",
       "3     2013-01-01  23:58:37  \n",
       "4     2013-01-01  23:58:15  \n",
       "...          ...       ...  \n",
       "3267  2013-01-01  00:01:36  \n",
       "3268  2013-01-01  00:01:34  \n",
       "3269  2013-01-01  00:01:15  \n",
       "3270  2013-01-01  00:00:58  \n",
       "3271  2013-01-01  00:00:53  \n",
       "\n",
       "[3272 rows x 13 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = dataset['all_days'].to_pandas()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "28df4b06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "score            Int64\n",
       "num_comments     Int64\n",
       "title           string\n",
       "permalink       string\n",
       "selftext        string\n",
       "url             string\n",
       "created_utc     string\n",
       "author          string\n",
       "id              string\n",
       "downs            Int64\n",
       "ups              Int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.convert_dtypes().dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e322b6c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ed1b06c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['created_utc'] = pd.to_datetime(df['created_utc'])\n",
    "df['date'] = df['created_utc'].dt.date\n",
    "df['time'] = df['created_utc'].dt.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ff477737",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2013-01-01    3272\n",
       "Name: date, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.date.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1d11b967",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = df.drop_duplicates(subset=['id'], keep=\"first\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "eec00dd6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_df.date.hist(bins=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1acf60dc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}