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Feat: cleaning

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Bertrand Benjamin 2024-04-12 08:57:23 +02:00
parent d872cd7681
commit a1578f813b
5 changed files with 1 additions and 6286 deletions
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.gitignore vendored
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datas/
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

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notebooks/auto_tagging.ipynb
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notebooks/gold2mart.ipynb
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notebooks/histo2staging.ipynb
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notebooks/staging2gold.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "bc224455-95ed-4e33-864d-442396301cd4",
"metadata": {},
"source": [
"# Staging vers Gold"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d5dff9f3-ec7d-4fc7-8471-5ed1fbf6cf06",
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4e5779f6-e0ad-46f8-b684-49af4205f084",
"metadata": {},
"outputs": [],
"source": [
"staging_path = Path(\"../PLESNA Compta SYSTEM/staging\")\n",
"assert staging_path.exists()\n",
"gold_path = Path(\"../PLESNA Compta SYSTEM/gold\")\n",
"assert gold_path.exists()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2074af18-4f81-49cb-9d9c-f50e7408e7fc",
"metadata": {},
"outputs": [],
"source": [
"def to_csv(df, dest):\n",
" if dest.exists():\n",
" df.to_csv(dest, mode=\"a\", header=False, index=False)\n",
" else:\n",
" df.to_csv(dest, index=False)"
]
},
{
"cell_type": "markdown",
"id": "cc74ba91-855a-41e7-8709-122425f98fb6",
"metadata": {},
"source": [
"### clean gold"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "82de8bc5-8d1e-47fb-af28-076ed90835a9",
"metadata": {},
"outputs": [],
"source": [
"for f in gold_path.glob(\"**/*.csv\"):\n",
" f.unlink()"
]
},
{
"cell_type": "markdown",
"id": "539446e1-835e-4d79-a8d8-ddd5823f30f9",
"metadata": {},
"source": [
"## CRG"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a6423b7d-657f-4897-8dd3-fbca68318367",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2020.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2018.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2022.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2021.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2023.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2019.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/CRG/2017.csv')]\n"
]
}
],
"source": [
"crg_path = staging_path / \"CRG\"\n",
"assert crg_path.exists()\n",
"crg_files = list(crg_path.glob(\"*.csv\"))\n",
"print(crg_files)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "edcf15c4-aa3c-40c7-805d-ae8933decf8c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"../PLESNA Compta SYSTEM/gold/CRG/2020.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2018.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2022.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2021.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2023.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2019.csv\n",
"../PLESNA Compta SYSTEM/gold/CRG/2017.csv\n"
]
}
],
"source": [
"for f in crg_files:\n",
" df = pd.read_csv(f)\n",
" df = df.assign(\n",
" Impact = df[\"Crédit\"] - df[\"Débit\"],\n",
" )\n",
" dest = gold_path / f\"CRG/{f.name}\"\n",
" print(dest)\n",
" to_csv(df, dest)"
]
},
{
"cell_type": "markdown",
"id": "811f6b89-be5a-4290-b3d5-466ec42eb3ae",
"metadata": {},
"source": [
"## Banque"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c017b0a4-8c41-482e-85b1-4a10be84270b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[PosixPath('../PLESNA Compta SYSTEM/staging/Banque/2020.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/Banque/2022.csv'), PosixPath('../PLESNA Compta SYSTEM/staging/Banque/2021.csv')]\n"
]
}
],
"source": [
"banque_path = staging_path / \"Banque\"\n",
"assert banque_path.exists()\n",
"banque_files = list(banque_path.glob(\"*.csv\"))\n",
"print(banque_files)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b04b0d11-dd74-4463-bd6f-c59528cc080e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"../PLESNA Compta SYSTEM/gold/Banque/2020.csv\n",
"../PLESNA Compta SYSTEM/gold/Banque/2022.csv\n",
"../PLESNA Compta SYSTEM/gold/Banque/2021.csv\n"
]
}
],
"source": [
"for f in banque_files:\n",
" df = pd.read_csv(f)\n",
" df = df.assign(\n",
" Impact = df[\"Crédit\"] - df[\"Débit\"],\n",
" )\n",
" dest = gold_path / f\"Banque/{f.name}\"\n",
" print(dest)\n",
" to_csv(df, dest)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}