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{
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using custom data configuration tappyness1--causion-800e18f416d7678b\n",
"Found cached dataset parquet (C:/Users/neoce/.cache/huggingface/datasets/tappyness1___parquet/tappyness1--causion-800e18f416d7678b/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n",
"100%|██████████| 1/1 [00:00<00:00, 937.90it/s]\n"
]
}
],
"source": [
"from datasets import load_dataset\n",
"import pandas as pd\n",
"import os\n",
"import yaml\n",
"\n",
"token_file = open(\"token_secret.yaml\")\n",
"token_obj = yaml.load(token_file, Loader=yaml.FullLoader)\n",
"dataset = load_dataset(\"tappyness1/causion\", use_auth_token=token_obj['TOKEN'])\n",
"counts_df = pd.DataFrame(dataset['train'])\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\neoce\\AppData\\Local\\Temp\\ipykernel_18912\\643665856.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
" date_view_group = counts_df_filter_views.groupby(by=['view', 'day_of_week']).mean()\n"
]
}
],
"source": [
"filtered_views_list = ['View_from_Second_Link_at_Tuas_to_sg',\n",
" 'View_from_Second_Link_at_Tuas_to_jh',\n",
" 'View_from_Tuas_Checkpoint_to_sg',\n",
" 'View_from_Tuas_Checkpoint_to_jh',\n",
" 'View_from_Woodlands_Causeway_Towards_Johor_to_sg',\n",
" 'View_from_Woodlands_Causeway_Towards_Johor_to_jh',\n",
" 'View_from_Woodlands_Checkpoint_Towards_BKE_to_sg',\n",
" 'View_from_Woodlands_Checkpoint_Towards_BKE_to_jh']\n",
"\n",
"counts_df_filter_views = counts_df[counts_df['view'].isin(filtered_views_list)]\n",
"counts_df_filter_views['date'] = pd.to_datetime(counts_df_filter_views['date'])\n",
"counts_df_filter_views['day_of_week'] = counts_df_filter_views['date'].dt.day_of_week\n",
"date_view_group = counts_df_filter_views.groupby(by=['view', 'day_of_week']).mean()\n",
"date_view_group = date_view_group.reset_index()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "6242_hw1_q1",
"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": "3.8.16"
},
"orig_nbformat": 4
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"nbformat_minor": 2
}
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