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open_777/docs/convert_json.ipynb
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adam_blvck 5d2ed6b5f0 Added a few more rows
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{
"cells": [
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"./liber_777.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"df = df.transpose()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
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" <tr>\n",
" <th>2 - Hebrew Names</th>\n",
" <td>Ain (אין) - Ain Soph (אין סוף) - Ain Soph Aur ...</td>\n",
" <td>(כתר) Kether</td>\n",
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" 0 \\\n",
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"3 - English of II Limitless LVX - No Limit - Nothing \n",
"10 - Mystic Numbers of the Sephiroth 0 \n",
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"\n",
" 1 2 \\\n",
"Category 1 2 \n",
"2 - Hebrew Names (כתר) Kether Chokmah () \n",
"3 - English of II Crown Wisdom \n",
"10 - Mystic Numbers of the Sephiroth 1 3 \n",
"11 - Elements & Rulers Root of 🜁 Root of 🜁 \n",
"\n",
" 3 4 \\\n",
"Category 3 4 \n",
"2 - Hebrew Names (בינה) Binah Chesed () \n",
"3 - English of II Understanding Mercy \n",
"10 - Mystic Numbers of the Sephiroth 6 10 \n",
"11 - Elements & Rulers Root of 🜁 🜄 \n",
"\n",
" 5 6 \\\n",
"Category 5 6 \n",
"2 - Hebrew Names (גבורה) Geburah Tiphareth () \n",
"3 - English of II Strength Beauty \n",
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"11 - Elements & Rulers 🜂 🜁 \n",
"\n",
" 7 8 9 \\\n",
"Category 7 8 9 \n",
"2 - Hebrew Names (נצח) Netzach Hod () (יסוד) Yesod \n",
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"11 - Elements & Rulers 🜂 🜄 🜁 \n",
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"2 - Hebrew Names ... (סמך) Samekh \n",
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"\n",
" 26 27 \\\n",
"Category 26 27 \n",
"2 - Hebrew Names Ayin () (פה) Pé \n",
"3 - English of II Eye Mouth \n",
"10 - Mystic Numbers of the Sephiroth 351 378 \n",
"11 - Elements & Rulers Venus - 🜃 - Moon ... \n",
"\n",
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"Category 28 29 \n",
"2 - Hebrew Names (צדי) Tzaddi (קוף) Qoph \n",
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"10 - Mystic Numbers of the Sephiroth 406 435 \n",
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"\n",
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"2 - Hebrew Names (ריש) Resh (שין) Shin \n",
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"\n",
" 34 \n",
"Category 31 bis \n",
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"\n",
"[5 rows x 35 columns]"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"df = df.reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"df = df.iloc[1:]"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"json_string = df.to_json(orient='records', force_ascii=False)\n",
"o = json.loads(json_string)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"json_data = json.dumps(o, ensure_ascii=False).encode('utf-8').decode('unicode_escape')\n",
"\n",
"# Specify the JavaScript file path\n",
"js_file_path = '../src/liber_777.js'\n",
"\n",
"import json\n",
"with open(js_file_path, 'w', encoding='utf8') as f:\n",
"\tf.write('export const Liber777 = ')\n",
"\tjson.dump(o, f, ensure_ascii=False)\n",
"\tf.write(';')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "drlnd",
"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": "3.9.6"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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