164 lines
3.2 KiB
Plaintext
164 lines
3.2 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from json_buffered_reader import JSON_buffered_reader as JSON_br\n",
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"\n",
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"import settings"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* load all ingredients from the yummly dataset and merge them into a huge set"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"ingredients = []\n",
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"ingredient_count = {}\n",
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"\n",
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"min_count = 100"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"for recipe in JSON_br(settings.yummly_train):\n",
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" for ingredient in recipe['ingredients']:\n",
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" if ingredient in ingredient_count:\n",
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" ingredient_count[ingredient] += 1\n",
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" if ingredient_count[ingredient] == min_count:\n",
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" ingredients.append(ingredient)\n",
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" else:\n",
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" ingredient_count[ingredient] = 1\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"all_ingredients_set = set(ingredients)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"648"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(all_ingredients_set)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* save to python file:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"filename = 'cooking_ingredients.py'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"file_obj = open(filename,'w')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"file_obj.write(\"#!/usr/bin/env python3\\n\")\n",
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"\n",
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"file_obj.write(\"\\ningredients = [\\n\")\n",
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"\n",
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"\n",
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"first_item = ingredients[0]\n",
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"\n",
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"file_obj.write(' \"' + first_item + '\"')\n",
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"for ingredient in ingredients[1:]:\n",
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" file_obj.write(',\\n \"' + ingredient + '\"')\n",
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"\n",
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"file_obj.write(\"\\n]\\n\")\n",
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"\n",
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"file_obj.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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