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Fix update informative table and reestructure the tracking file.
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@victorc365
victorc365 committed Oct 5, 2023
1 parent b9a6f91 commit b61923f
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Showing 5 changed files with 38,394 additions and 54 deletions.
12 changes: 6 additions & 6 deletions src/main_generator_notebook.ipynb
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},
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"outputs": [
{
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},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 14,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "616b97a348c4453b98510571c4e76dfd",
"model_id": "3b95936354a245759c69cd0157ff7791",
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"version_minor": 0
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Expand All @@ -70,7 +70,7 @@
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Expand All @@ -84,7 +84,7 @@
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Expand All @@ -98,7 +98,7 @@
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},
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129 changes: 121 additions & 8 deletions src/meals_collection/Process_recipes.ipynb
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Expand Up @@ -13823,7 +13823,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 28,
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"source": [
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},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 29,
"metadata": {},
"outputs": [
{
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"'/home/victor/Documents/Expectation_data_generation/src/meals_collection'"
]
},
"execution_count": 20,
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -13852,21 +13852,134 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"raw_data = pd.read_csv('/home/victor/Documents/Expectation_data_generation/src/recipes/raw_recipes.csv', \n",
" sep='|', index_col=0)"
"processed_data = pd.read_csv('/home/victor/Documents/Expectation_data_generation/src/recipes/processed_recipes_dataset.csv', \n",
" sep='|')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"raw_data.reset_index(inplace=True)"
"processed_data[\"recipeId\"] = [f\"food_{i}\" for i in range(len(processed_data))]"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .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>title</th>\n",
" <th>raw_text</th>\n",
" <th>meal_type</th>\n",
" <th>cultural_restriction</th>\n",
" <th>calories</th>\n",
" <th>allergies</th>\n",
" <th>recipeId</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Fruit Salad</td>\n",
" <td>1. Fruit Salad: 70 calories per portion, 4 por...</td>\n",
" <td>breakfast</td>\n",
" <td>vegan</td>\n",
" <td>70.0</td>\n",
" <td>contains fruits only</td>\n",
" <td>food_0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Vegan Pancakes</td>\n",
" <td>2. Vegan Pancakes: 150 calories per portion, 4...</td>\n",
" <td>breakfast</td>\n",
" <td>vegan</td>\n",
" <td>150.0</td>\n",
" <td>NaN</td>\n",
" <td>food_1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Overnight Chia Pudding</td>\n",
" <td>3. Overnight Chia Pudding: 200 calories per po...</td>\n",
" <td>breakfast</td>\n",
" <td>vegan</td>\n",
" <td>200.0</td>\n",
" <td>contains nuts (almonds)</td>\n",
" <td>food_2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Avocado Toast</td>\n",
" <td>4. Avocado Toast: 250 calories per portion, 2 ...</td>\n",
" <td>breakfast</td>\n",
" <td>vegan</td>\n",
" <td>250.0</td>\n",
" <td>NaN</td>\n",
" <td>food_3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" title raw_text \\\n",
"0 Fruit Salad 1. Fruit Salad: 70 calories per portion, 4 por... \n",
"1 Vegan Pancakes 2. Vegan Pancakes: 150 calories per portion, 4... \n",
"2 Overnight Chia Pudding 3. Overnight Chia Pudding: 200 calories per po... \n",
"3 Avocado Toast 4. Avocado Toast: 250 calories per portion, 2 ... \n",
"\n",
" meal_type cultural_restriction calories allergies recipeId \n",
"0 breakfast vegan 70.0 contains fruits only food_0 \n",
"1 breakfast vegan 150.0 NaN food_1 \n",
"2 breakfast vegan 200.0 contains nuts (almonds) food_2 \n",
"3 breakfast vegan 250.0 NaN food_3 "
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"processed_data.head(4)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"processed_data.to_csv('/home/victor/Documents/Expectation_data_generation/src/recipes/processed_recipes_dataset_id.csv',\n",
" sep='|')"
]
}
],
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