From f6bae9c70a77aea8f6f219e2678b822791f8bf98 Mon Sep 17 00:00:00 2001
From: Sirin Puenggun <sirin_29@hotmail.co.th>
Date: Fri, 12 May 2023 19:45:24 +0700
Subject: [PATCH] Change file format of network graph file

---
 Essential/networkgraphprob.ipynb | 2028 ++++++++++++++++++++++++++++++
 Essential/networkgraphvisual.py  |  110 --
 2 files changed, 2028 insertions(+), 110 deletions(-)
 create mode 100644 Essential/networkgraphprob.ipynb
 delete mode 100644 Essential/networkgraphvisual.py

diff --git a/Essential/networkgraphprob.ipynb b/Essential/networkgraphprob.ipynb
new file mode 100644
index 0000000..cf832de
--- /dev/null
+++ b/Essential/networkgraphprob.ipynb
@@ -0,0 +1,2028 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Network Graph Problem"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Read Data and create similarites score dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>product_name</th>\n",
+       "      <th>Nitroglycerin</th>\n",
+       "      <th>Cheese twist</th>\n",
+       "      <th>Pepperidge farm cookies</th>\n",
+       "      <th>Asian home gourmet, spice paste for indian butter chicken, mild</th>\n",
+       "      <th>Crunchy Granola Bars</th>\n",
+       "      <th>Nature Valley Crunchy Oats 'n Dark Chocolate Granola Bar</th>\n",
+       "      <th>Iced Party Rings</th>\n",
+       "      <th>Golden crunchy creams</th>\n",
+       "      <th>Guacamole Dip</th>\n",
+       "      <th>Coconut oil</th>\n",
+       "      <th>...</th>\n",
+       "      <th>คุกกี้สเปลท์เนยสดผสมข้าวกล้องงอก</th>\n",
+       "      <th>กระเทียบปลอดเปลือง</th>\n",
+       "      <th>มะนาว</th>\n",
+       "      <th>มะเขือเทศราชินี</th>\n",
+       "      <th>กรีนโอ๊ค</th>\n",
+       "      <th>ฟิลเลย์ไอช์เบิร์ท</th>\n",
+       "      <th>ส้มสายน้ำผึ้ง</th>\n",
+       "      <th>lactasoy</th>\n",
+       "      <th>ท๊อฟฟี่เค้ก</th>\n",
+       "      <th>Bavarian bread</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>product_name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Nitroglycerin</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cheese twist</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.994018</td>\n",
+       "      <td>0.995840</td>\n",
+       "      <td>0.996531</td>\n",
+       "      <td>0.959094</td>\n",
+       "      <td>0.991335</td>\n",
+       "      <td>0.996205</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.991655</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.997557</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pepperidge farm cookies</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.994018</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.988383</td>\n",
+       "      <td>0.999200</td>\n",
+       "      <td>0.979432</td>\n",
+       "      <td>0.999649</td>\n",
+       "      <td>0.999609</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.977958</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.997638</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Asian home gourmet, spice paste for indian butter chicken, mild</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.995840</td>\n",
+       "      <td>0.988383</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.991282</td>\n",
+       "      <td>0.944871</td>\n",
+       "      <td>0.985161</td>\n",
+       "      <td>0.991537</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.991367</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.995406</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Crunchy Granola Bars</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.996531</td>\n",
+       "      <td>0.999200</td>\n",
+       "      <td>0.991282</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.975556</td>\n",
+       "      <td>0.998478</td>\n",
+       "      <td>0.999325</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.980052</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.998650</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\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",
+       "      <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",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ส้มสายน้ำผึ้ง</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>lactasoy</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ท๊อฟฟี่เค้ก</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.997557</td>\n",
+       "      <td>0.997638</td>\n",
+       "      <td>0.995406</td>\n",
+       "      <td>0.998650</td>\n",
+       "      <td>0.967932</td>\n",
+       "      <td>0.996187</td>\n",
+       "      <td>0.998944</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.986198</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bavarian bread</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
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+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 100 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "product_name                                        Nitroglycerin  \\\n",
+       "product_name                                                        \n",
+       "Nitroglycerin                                                 0.0   \n",
+       "Cheese twist                                                  0.0   \n",
+       "Pepperidge farm cookies                                       0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...            0.0   \n",
+       "Crunchy Granola Bars                                          0.0   \n",
+       "...                                                           ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                             0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                 0.0   \n",
+       "lactasoy                                                      0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                   0.0   \n",
+       "Bavarian bread                                                0.0   \n",
+       "\n",
+       "product_name                                        Cheese twist  \\\n",
+       "product_name                                                       \n",
+       "Nitroglycerin                                           0.000000   \n",
+       "Cheese twist                                            1.000000   \n",
+       "Pepperidge farm cookies                                 0.994018   \n",
+       "Asian home gourmet, spice paste for indian butt...      0.995840   \n",
+       "Crunchy Granola Bars                                    0.996531   \n",
+       "...                                                          ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                       0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                           0.000000   \n",
+       "lactasoy                                                0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                             0.997557   \n",
+       "Bavarian bread                                          0.000000   \n",
+       "\n",
+       "product_name                                        Pepperidge farm cookies  \\\n",
+       "product_name                                                                  \n",
+       "Nitroglycerin                                                      0.000000   \n",
+       "Cheese twist                                                       0.994018   \n",
+       "Pepperidge farm cookies                                            1.000000   \n",
+       "Asian home gourmet, spice paste for indian butt...                 0.988383   \n",
+       "Crunchy Granola Bars                                               0.999200   \n",
+       "...                                                                     ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                  0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                                      0.000000   \n",
+       "lactasoy                                                           0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                                        0.997638   \n",
+       "Bavarian bread                                                     0.000000   \n",
+       "\n",
+       "product_name                                        Asian home gourmet, spice paste for indian butter chicken, mild  \\\n",
+       "product_name                                                                                                          \n",
+       "Nitroglycerin                                                                                0.000000                 \n",
+       "Cheese twist                                                                                 0.995840                 \n",
+       "Pepperidge farm cookies                                                                      0.988383                 \n",
+       "Asian home gourmet, spice paste for indian butt...                                           1.000000                 \n",
+       "Crunchy Granola Bars                                                                         0.991282                 \n",
+       "...                                                                                               ...                 \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                                            0.000000                 \n",
+       "ส้มสายน้ำผึ้ง                                                                                0.000000                 \n",
+       "lactasoy                                                                                     0.000000                 \n",
+       "ท๊อฟฟี่เค้ก                                                                                  0.995406                 \n",
+       "Bavarian bread                                                                               0.000000                 \n",
+       "\n",
+       "product_name                                        Crunchy Granola Bars  \\\n",
+       "product_name                                                               \n",
+       "Nitroglycerin                                                   0.000000   \n",
+       "Cheese twist                                                    0.996531   \n",
+       "Pepperidge farm cookies                                         0.999200   \n",
+       "Asian home gourmet, spice paste for indian butt...              0.991282   \n",
+       "Crunchy Granola Bars                                            1.000000   \n",
+       "...                                                                  ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                               0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                                   0.000000   \n",
+       "lactasoy                                                        0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                                     0.998650   \n",
+       "Bavarian bread                                                  0.000000   \n",
+       "\n",
+       "product_name                                        Nature Valley Crunchy Oats 'n Dark Chocolate Granola Bar  \\\n",
+       "product_name                                                                                                   \n",
+       "Nitroglycerin                                                                                0.000000          \n",
+       "Cheese twist                                                                                 0.959094          \n",
+       "Pepperidge farm cookies                                                                      0.979432          \n",
+       "Asian home gourmet, spice paste for indian butt...                                           0.944871          \n",
+       "Crunchy Granola Bars                                                                         0.975556          \n",
+       "...                                                                                               ...          \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                                            0.000000          \n",
+       "ส้มสายน้ำผึ้ง                                                                                0.000000          \n",
+       "lactasoy                                                                                     0.000000          \n",
+       "ท๊อฟฟี่เค้ก                                                                                  0.967932          \n",
+       "Bavarian bread                                                                               0.000000          \n",
+       "\n",
+       "product_name                                        Iced Party Rings  \\\n",
+       "product_name                                                           \n",
+       "Nitroglycerin                                               0.000000   \n",
+       "Cheese twist                                                0.991335   \n",
+       "Pepperidge farm cookies                                     0.999649   \n",
+       "Asian home gourmet, spice paste for indian butt...          0.985161   \n",
+       "Crunchy Granola Bars                                        0.998478   \n",
+       "...                                                              ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                           0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                               0.000000   \n",
+       "lactasoy                                                    0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                                 0.996187   \n",
+       "Bavarian bread                                              0.000000   \n",
+       "\n",
+       "product_name                                        Golden crunchy creams  \\\n",
+       "product_name                                                                \n",
+       "Nitroglycerin                                                    0.000000   \n",
+       "Cheese twist                                                     0.996205   \n",
+       "Pepperidge farm cookies                                          0.999609   \n",
+       "Asian home gourmet, spice paste for indian butt...               0.991537   \n",
+       "Crunchy Granola Bars                                             0.999325   \n",
+       "...                                                                   ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                                    0.000000   \n",
+       "lactasoy                                                         0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                                      0.998944   \n",
+       "Bavarian bread                                                   0.000000   \n",
+       "\n",
+       "product_name                                        Guacamole Dip  \\\n",
+       "product_name                                                        \n",
+       "Nitroglycerin                                                 0.0   \n",
+       "Cheese twist                                                  0.0   \n",
+       "Pepperidge farm cookies                                       0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...            0.0   \n",
+       "Crunchy Granola Bars                                          0.0   \n",
+       "...                                                           ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                             0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                 0.0   \n",
+       "lactasoy                                                      0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                   0.0   \n",
+       "Bavarian bread                                                0.0   \n",
+       "\n",
+       "product_name                                        Coconut oil  ...  \\\n",
+       "product_name                                                     ...   \n",
+       "Nitroglycerin                                          0.000000  ...   \n",
+       "Cheese twist                                           0.991655  ...   \n",
+       "Pepperidge farm cookies                                0.977958  ...   \n",
+       "Asian home gourmet, spice paste for indian butt...     0.991367  ...   \n",
+       "Crunchy Granola Bars                                   0.980052  ...   \n",
+       "...                                                         ...  ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                      0.000000  ...   \n",
+       "ส้มสายน้ำผึ้ง                                          0.000000  ...   \n",
+       "lactasoy                                               0.000000  ...   \n",
+       "ท๊อฟฟี่เค้ก                                            0.986198  ...   \n",
+       "Bavarian bread                                         0.000000  ...   \n",
+       "\n",
+       "product_name                                        คุกกี้สเปลท์เนยสดผสมข้าวกล้องงอก  \\\n",
+       "product_name                                                                           \n",
+       "Nitroglycerin                                                                    0.0   \n",
+       "Cheese twist                                                                     0.0   \n",
+       "Pepperidge farm cookies                                                          0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...                               0.0   \n",
+       "Crunchy Granola Bars                                                             0.0   \n",
+       "...                                                                              ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                                0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                                    0.0   \n",
+       "lactasoy                                                                         0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                                      0.0   \n",
+       "Bavarian bread                                                                   0.0   \n",
+       "\n",
+       "product_name                                        กระเทียบปลอดเปลือง  มะนาว  \\\n",
+       "product_name                                                                    \n",
+       "Nitroglycerin                                                      0.0    0.0   \n",
+       "Cheese twist                                                       0.0    0.0   \n",
+       "Pepperidge farm cookies                                            0.0    0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...                 0.0    0.0   \n",
+       "Crunchy Granola Bars                                               0.0    0.0   \n",
+       "...                                                                ...    ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                  0.0    0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                      0.0    0.0   \n",
+       "lactasoy                                                           0.0    0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                        0.0    0.0   \n",
+       "Bavarian bread                                                     0.0    0.0   \n",
+       "\n",
+       "product_name                                        มะเขือเทศราชินี  กรีนโอ๊ค  \\\n",
+       "product_name                                                                    \n",
+       "Nitroglycerin                                                   0.0       0.0   \n",
+       "Cheese twist                                                    0.0       0.0   \n",
+       "Pepperidge farm cookies                                         0.0       0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...              0.0       0.0   \n",
+       "Crunchy Granola Bars                                            0.0       0.0   \n",
+       "...                                                             ...       ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                               0.0       0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                   0.0       0.0   \n",
+       "lactasoy                                                        0.0       0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                     0.0       0.0   \n",
+       "Bavarian bread                                                  0.0       0.0   \n",
+       "\n",
+       "product_name                                        ฟิลเลย์ไอช์เบิร์ท  \\\n",
+       "product_name                                                            \n",
+       "Nitroglycerin                                                     0.0   \n",
+       "Cheese twist                                                      0.0   \n",
+       "Pepperidge farm cookies                                           0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...                0.0   \n",
+       "Crunchy Granola Bars                                              0.0   \n",
+       "...                                                               ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                                 0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                     0.0   \n",
+       "lactasoy                                                          0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                       0.0   \n",
+       "Bavarian bread                                                    0.0   \n",
+       "\n",
+       "product_name                                        ส้มสายน้ำผึ้ง  lactasoy  \\\n",
+       "product_name                                                                  \n",
+       "Nitroglycerin                                                 0.0       0.0   \n",
+       "Cheese twist                                                  0.0       0.0   \n",
+       "Pepperidge farm cookies                                       0.0       0.0   \n",
+       "Asian home gourmet, spice paste for indian butt...            0.0       0.0   \n",
+       "Crunchy Granola Bars                                          0.0       0.0   \n",
+       "...                                                           ...       ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                             0.0       0.0   \n",
+       "ส้มสายน้ำผึ้ง                                                 0.0       0.0   \n",
+       "lactasoy                                                      0.0       0.0   \n",
+       "ท๊อฟฟี่เค้ก                                                   0.0       0.0   \n",
+       "Bavarian bread                                                0.0       0.0   \n",
+       "\n",
+       "product_name                                        ท๊อฟฟี่เค้ก  \\\n",
+       "product_name                                                      \n",
+       "Nitroglycerin                                          0.000000   \n",
+       "Cheese twist                                           0.997557   \n",
+       "Pepperidge farm cookies                                0.997638   \n",
+       "Asian home gourmet, spice paste for indian butt...     0.995406   \n",
+       "Crunchy Granola Bars                                   0.998650   \n",
+       "...                                                         ...   \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                      0.000000   \n",
+       "ส้มสายน้ำผึ้ง                                          0.000000   \n",
+       "lactasoy                                               0.000000   \n",
+       "ท๊อฟฟี่เค้ก                                            1.000000   \n",
+       "Bavarian bread                                         0.000000   \n",
+       "\n",
+       "product_name                                        Bavarian bread  \n",
+       "product_name                                                        \n",
+       "Nitroglycerin                                                  0.0  \n",
+       "Cheese twist                                                   0.0  \n",
+       "Pepperidge farm cookies                                        0.0  \n",
+       "Asian home gourmet, spice paste for indian butt...             0.0  \n",
+       "Crunchy Granola Bars                                           0.0  \n",
+       "...                                                            ...  \n",
+       "ฟิลเลย์ไอช์เบิร์ท                                              0.0  \n",
+       "ส้มสายน้ำผึ้ง                                                  0.0  \n",
+       "lactasoy                                                       0.0  \n",
+       "ท๊อฟฟี่เค้ก                                                    0.0  \n",
+       "Bavarian bread                                                 0.0  \n",
+       "\n",
+       "[100 rows x 100 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import sqlite3\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.metrics.pairwise import cosine_similarity\n",
+    "import networkx as nx\n",
+    "import plotly.graph_objects as go\n",
+    "import os.path\n",
+    "\n",
+    "current_dir = os.path.abspath('')\n",
+    "db_path = (current_dir + r\"\\data\\food_data.db\")\n",
+    "\n",
+    "conn = sqlite3.connect(db_path)\n",
+    "query = \"SELECT * FROM food_data LIMIT 100\"\n",
+    "df = pd.read_sql_query(query, conn)\n",
+    "\n",
+    "df= df.fillna(0)\n",
+    "\n",
+    "nutrient_columns = [\n",
+    "    'energy-kcal_100g', 'fat_100g', 'saturated-fat_100g', 'unsaturated-fat_100g',\n",
+    "    'omega-3-fat_100g', 'omega-6-fat_100g', 'omega-9-fat_100g', 'trans-fat_100g',\n",
+    "    'cholesterol_100g', 'carbohydrates_100g', 'sugars_100g', 'sucrose_100g',\n",
+    "    'glucose_100g', 'fructose_100g', 'lactose_100g', 'maltose_100g', 'fiber_100g',\n",
+    "    'soluble-fiber_100g', 'insoluble-fiber_100g', 'proteins_100g', 'salt_100g',\n",
+    "    'added-salt_100g', 'sodium_100g', 'alcohol_100g', 'vitamin-a_100g',\n",
+    "    'beta-carotene_100g', 'vitamin-d_100g', 'vitamin-e_100g', 'vitamin-k_100g',\n",
+    "    'vitamin-c_100g', 'vitamin-b1_100g', 'vitamin-b2_100g', 'vitamin-pp_100g',\n",
+    "    'vitamin-b6_100g', 'vitamin-b9_100g', 'vitamin-b12_100g', 'bicarbonate_100g',\n",
+    "    'potassium_100g', 'chloride_100g', 'calcium_100g', 'phosphorus_100g', 'iron_100g',\n",
+    "    'magnesium_100g', 'zinc_100g', 'copper_100g', 'manganese_100g', 'fluoride_100g',\n",
+    "    'selenium_100g', 'chromium_100g', 'molybdenum_100g', 'iodine_100g',\n",
+    "    'caffeine_100g', 'cocoa_100g', 'carbon-footprint_100g'\n",
+    "]\n",
+    "\n",
+    "conn.close()\n",
+    "chunk_size = 1000  \n",
+    "\n",
+    "similarity_df = pd.DataFrame(index=df['product_name'], columns=df['product_name'])\n",
+    "for i in range(0, len(df), chunk_size):\n",
+    "    chunk = df.iloc[i:i+chunk_size]\n",
+    "    chunk_similarity_matrix = cosine_similarity(chunk[nutrient_columns])\n",
+    "\n",
+    "    chunk_similarity_df = pd.DataFrame(chunk_similarity_matrix, index=chunk['product_name'], columns=chunk['product_name'])\n",
+    "    similarity_df.update(chunk_similarity_df)\n",
+    "similarity_df = similarity_df.fillna(1.0)\n",
+    "\n",
+    "similarity_df"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Find similarities and put to weight of edges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
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+        "plotlyServerURL": "https://plot.ly"
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+           "width": 2
+          },
+          "showscale": false,
+          "size": 10
+         },
+         "mode": "markers+text",
+         "text": [
+          "2 percent reduced fat milk",
+          "Golden crunchy creams",
+          "Iced Party Rings",
+          "Asian home gourmet, spice paste for indian butter chicken, mild",
+          "Cheese twist",
+          "Crunchy Granola Bars",
+          "ผลิตภัณฑ์นมพาสเจอไรซ์ - 946 ml",
+          "Nature Valley Crunchy Oats 'n Dark Chocolate Granola Bar",
+          "all butter Scottish shortbread biscuits with toffee pieces",
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+          "contourcarpet": [
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+            "colorbar": {
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+            "type": "contourcarpet"
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+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
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+            "colorscale": [
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+             [
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+             [
+              0.2222222222222222,
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+             [
+              0.3333333333333333,
+              "#9c179e"
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+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
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+             [
+              0.6666666666666666,
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+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
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+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
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+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
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+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
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+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
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+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
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+            "colorscale": [
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+              0,
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+             [
+              0.1111111111111111,
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+             [
+              0.2222222222222222,
+              "#7201a8"
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+             [
+              0.3333333333333333,
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+             [
+              0.4444444444444444,
+              "#bd3786"
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+             [
+              0.5555555555555556,
+              "#d8576b"
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+             [
+              0.6666666666666666,
+              "#ed7953"
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+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
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+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
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+            [
+             0.1,
+             "#c51b7d"
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+            [
+             0.2,
+             "#de77ae"
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+            [
+             0.3,
+             "#f1b6da"
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+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
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+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
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+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
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+            [
+             1,
+             "#276419"
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+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
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+            [
+             0.1111111111111111,
+             "#46039f"
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+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
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+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
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+            [
+             1,
+             "#f0f921"
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+           ],
+           "sequentialminus": [
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+             0,
+             "#0d0887"
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+            [
+             0.2222222222222222,
+             "#7201a8"
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+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "xaxis": {
+         "showgrid": false,
+         "showticklabels": false,
+         "zeroline": false
+        },
+        "yaxis": {
+         "showgrid": false,
+         "showticklabels": false,
+         "zeroline": false
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# * Similarities calculate by cosine similarities\n",
+    "\n",
+    "graph = nx.from_pandas_adjacency(similarity_df)\n",
+    "node_degrees = graph.degree()\n",
+    "sorted_nodes = sorted(node_degrees, key=lambda x: x[1], reverse=True)\n",
+    "top_nodes = [node[0] for node in sorted_nodes[:10]]\n",
+    "subgraph = graph.subgraph(top_nodes)\n",
+    "pos = nx.spring_layout(subgraph)\n",
+    "x, y = zip(*pos.values())\n",
+    "edge_trace = go.Scatter(\n",
+    "    x=[],\n",
+    "    y=[],\n",
+    "    line=dict(width=0.5, color='#888'),\n",
+    "    hoverinfo='none',\n",
+    "    mode='lines')\n",
+    "\n",
+    "for edge in subgraph.edges():\n",
+    "    x0, y0 = pos[edge[0]]\n",
+    "    x1, y1 = pos[edge[1]]\n",
+    "    edge_trace['x'] += tuple([x0, x1, None])\n",
+    "    edge_trace['y'] += tuple([y0, y1, None])\n",
+    "\n",
+    "node_trace = go.Scatter(\n",
+    "    x=x,\n",
+    "    y=y,\n",
+    "    mode='markers+text',\n",
+    "    hoverinfo='text',\n",
+    "    text=list(subgraph.nodes()),\n",
+    "    textposition='top center',\n",
+    "    marker=dict(\n",
+    "        showscale=False,\n",
+    "        color='rgb(150,150,150)',\n",
+    "        size=10,\n",
+    "        line=dict(width=2, color='rgb(255,255,255)')))\n",
+    "\n",
+    "layout = go.Layout(\n",
+    "    showlegend=False,\n",
+    "    hovermode='closest',\n",
+    "    margin=dict(b=20, l=5, r=5, t=40),\n",
+    "    xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),\n",
+    "    yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))\n",
+    "\n",
+    "fig = go.Figure(data=[edge_trace, node_trace], layout=layout)\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Find Shortest path from one food to other food where similarities score is reverse (low similarities score = high similarity)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Cheese twist', 'Scottish All Butter Shortbread Assortment', 'all butter Scottish shortbread biscuits with toffee pieces', 'Cookies stem ginger', 'Jam Sandwich Creams', 'Golden crunchy creams', 'Pepperidge farm cookies']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# ! Shortest Path\n",
+    "\n",
+    "G = nx.Graph()\n",
+    "G.add_nodes_from(df['product_name'])\n",
+    "\n",
+    "# ! Add edges to the graph with weight as the modified similarity score(Reverse similarities score)\n",
+    "for i in range(len(similarity_df)):\n",
+    "    for j in range(i+1, len(similarity_df)):\n",
+    "        if similarity_df.iloc[i,j] > 0:\n",
+    "            similarity_score = similarity_df.iloc[i,j]\n",
+    "            similarity_weight = 1 - similarity_score\n",
+    "            G.add_edge(similarity_df.index[i], similarity_df.columns[j], weight=similarity_weight)\n",
+    "\n",
+    "# * Example\n",
+    "start_node = 'Cheese twist'\n",
+    "end_node = 'Pepperidge farm cookies'\n",
+    "shortest_path = nx.shortest_path(G, start_node, end_node, weight='weight')\n",
+    "\n",
+    "print(shortest_path)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.11.0"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Essential/networkgraphvisual.py b/Essential/networkgraphvisual.py
deleted file mode 100644
index 9d986be..0000000
--- a/Essential/networkgraphvisual.py
+++ /dev/null
@@ -1,110 +0,0 @@
-import sqlite3
-import pandas as pd
-import numpy as np
-from sklearn.metrics.pairwise import cosine_similarity
-import networkx as nx
-import plotly.graph_objects as go
-import os.path
-
-current_dir = os.path.dirname(os.path.abspath(__file__))
-db_path = (current_dir + r"\data\food_data.db")
-
-conn = sqlite3.connect(db_path)
-query = "SELECT * FROM food_data LIMIT 100"
-df = pd.read_sql_query(query, conn)
-
-df= df.fillna(0)
-
-nutrient_columns = [
-    'energy-kcal_100g', 'fat_100g', 'saturated-fat_100g', 'unsaturated-fat_100g',
-    'omega-3-fat_100g', 'omega-6-fat_100g', 'omega-9-fat_100g', 'trans-fat_100g',
-    'cholesterol_100g', 'carbohydrates_100g', 'sugars_100g', 'sucrose_100g',
-    'glucose_100g', 'fructose_100g', 'lactose_100g', 'maltose_100g', 'fiber_100g',
-    'soluble-fiber_100g', 'insoluble-fiber_100g', 'proteins_100g', 'salt_100g',
-    'added-salt_100g', 'sodium_100g', 'alcohol_100g', 'vitamin-a_100g',
-    'beta-carotene_100g', 'vitamin-d_100g', 'vitamin-e_100g', 'vitamin-k_100g',
-    'vitamin-c_100g', 'vitamin-b1_100g', 'vitamin-b2_100g', 'vitamin-pp_100g',
-    'vitamin-b6_100g', 'vitamin-b9_100g', 'vitamin-b12_100g', 'bicarbonate_100g',
-    'potassium_100g', 'chloride_100g', 'calcium_100g', 'phosphorus_100g', 'iron_100g',
-    'magnesium_100g', 'zinc_100g', 'copper_100g', 'manganese_100g', 'fluoride_100g',
-    'selenium_100g', 'chromium_100g', 'molybdenum_100g', 'iodine_100g',
-    'caffeine_100g', 'cocoa_100g', 'carbon-footprint_100g'
-]
-
-conn.close()
-chunk_size = 1000  
-
-similarity_df = pd.DataFrame(index=df['product_name'], columns=df['product_name'])
-for i in range(0, len(df), chunk_size):
-    chunk = df.iloc[i:i+chunk_size]
-    chunk_similarity_matrix = cosine_similarity(chunk[nutrient_columns])
-
-    chunk_similarity_df = pd.DataFrame(chunk_similarity_matrix, index=chunk['product_name'], columns=chunk['product_name'])
-    similarity_df.update(chunk_similarity_df)
-similarity_df = similarity_df.fillna(1.0)
-
-# * Similarities calculate by cosine similarities
-
-graph = nx.from_pandas_adjacency(similarity_df)
-node_degrees = graph.degree()
-sorted_nodes = sorted(node_degrees, key=lambda x: x[1], reverse=True)
-top_nodes = [node[0] for node in sorted_nodes[:10]]
-subgraph = graph.subgraph(top_nodes)
-pos = nx.spring_layout(subgraph)
-x, y = zip(*pos.values())
-edge_trace = go.Scatter(
-    x=[],
-    y=[],
-    line=dict(width=0.5, color='#888'),
-    hoverinfo='none',
-    mode='lines')
-
-for edge in subgraph.edges():
-    x0, y0 = pos[edge[0]]
-    x1, y1 = pos[edge[1]]
-    edge_trace['x'] += tuple([x0, x1, None])
-    edge_trace['y'] += tuple([y0, y1, None])
-
-node_trace = go.Scatter(
-    x=x,
-    y=y,
-    mode='markers+text',
-    hoverinfo='text',
-    text=list(subgraph.nodes()),
-    textposition='top center',
-    marker=dict(
-        showscale=False,
-        color='rgb(150,150,150)',
-        size=10,
-        line=dict(width=2, color='rgb(255,255,255)')))
-
-layout = go.Layout(
-    showlegend=False,
-    hovermode='closest',
-    margin=dict(b=20, l=5, r=5, t=40),
-    xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-    yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
-
-fig = go.Figure(data=[edge_trace, node_trace], layout=layout)
-fig.show()
-
-
-# ! Shortest Path
-
-G = nx.Graph()
-G.add_nodes_from(df['product_name'])
-
-# ! Add edges to the graph with weight as the modified similarity score(Reverse similarities score)
-for i in range(len(similarity_df)):
-    for j in range(i+1, len(similarity_df)):
-        if similarity_df.iloc[i,j] > 0:
-            similarity_score = similarity_df.iloc[i,j]
-            similarity_weight = 1 - similarity_score
-            G.add_edge(similarity_df.index[i], similarity_df.columns[j], weight=similarity_weight)
-
-# * Example
-start_node = 'Cheese twist'
-end_node = 'Pepperidge farm cookies'
-shortest_path = nx.shortest_path(G, start_node, end_node, weight='weight')
-
-print(shortest_path)
\ No newline at end of file