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iancont committed Oct 19, 2024
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792 changes: 792 additions & 0 deletions .jupyter_cache/executed/1ec048316494ea0a43dd2b0cdc4eb873/base.ipynb

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7 changes: 4 additions & 3 deletions _freeze/index/execute-results/docx.json

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7 changes: 4 additions & 3 deletions _freeze/index/execute-results/xml.json

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6 changes: 3 additions & 3 deletions _freeze/notebooks/data-extract/execute-results/html.json
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{
"hash": "94c8977f205a7f9bfc4d718ceb2d9d25",
"hash": "40777f2cba5bca41531f7008934bd098",
"result": {
"engine": "jupyter",
"markdown": "---\ntitle: Data Extract\ndescription: Extracción, transformación y almacenamiento de las fuentes de datos para ser analizadas por Data-Screening\nauthors: Ian Contreras\n---\n\n::: {#importing-libraries .cell execution_count=1}\n``` {}\n#| label: importing-libraries\nimport pandas as pd\nimport os\n```\n:::\n\n\n::: {#irp .cell execution_count=2}\n``` {}\n#| label: irp\nprint(\"Current Working Directory:\", os.getcwd())\ndf = pd.read_excel(r\"..\\\\data\\\\inputs\\\\Historico del Indicador GOBIX DR.xlsx\",\n sheet_name=\"Indice Retorno Precio\")\ndf = df.rename(columns={'Fecha': 'date', 'Valor': 'irp'})\ndf['date'] = pd.to_datetime(df['date'])\ndf = df.set_index('date')\ndf[\"price_return\"] = df[\"irp\"].pct_change()\ndf = df.dropna()\ndf = df[df.index <= '2021-09-30']\ndf['price_return'] = df['price_return'] * 10_000\ndf.to_csv('..\\\\data\\\\csv\\\\irp.csv')\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nCurrent Working Directory: C:\\Users\\contr\\OneDrive - INTEC\\TRI 9\\ECONOM\\fixed_income_garch\\notebooks\n```\n:::\n:::\n\n\n",
"markdown": "---\ntitle: Data Extract\ndescription: Extracción, transformación y almacenamiento de las fuentes de datos para ser analizadas por Data-Screening\nauthors: Ian Contreras\n---\n\n::: {#importing-libraries .cell execution_count=1}\n``` {}\n#| label: importing-libraries\nimport pandas as pd\nimport os\n```\n:::\n\n\n::: {#irp .cell execution_count=2}\n``` {}\n#| label: irp\nprint(\"Current Working Directory:\", os.getcwd())\ndf = pd.read_excel(r\"..\\\\data\\\\inputs\\\\historico_gobix_dr.xlsx\",\n sheet_name=\"Indice Retorno Precio\")\ndf = df.rename(columns={'Fecha': 'date', 'Valor': 'irp'})\ndf['date'] = pd.to_datetime(df['date'])\ndf = df.set_index('date')\ndf[\"price_return\"] = df[\"irp\"].pct_change()\ndf = df.dropna()\ndf = df[df.index <= '2021-09-30']\ndf['price_return'] = df['price_return'] * 10_000\ndf.to_csv('..\\\\data\\\\csv\\\\irp.csv')\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nCurrent Working Directory: C:\\Users\\contr\\OneDrive - INTEC\\TRI 9\\ECONOM\\fixed_income_garch\\notebooks\n```\n:::\n:::\n\n\n",
"supporting": [
"data-extract_files"
"data-extract_files\\figure-html"
],
"filters": [],
"includes": {}
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11 changes: 11 additions & 0 deletions _freeze/notebooks/data-extract/execute-results/xml.json
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{
"hash": "40777f2cba5bca41531f7008934bd098",
"result": {
"engine": "jupyter",
"markdown": "---\ntitle: Data Extract\ndescription: Extracción, transformación y almacenamiento de las fuentes de datos para ser analizadas por Data-Screening\nauthors: Ian Contreras\n---\n\n::: {#importing-libraries .cell execution_count=1}\n``` {}\n#| label: importing-libraries\nimport pandas as pd\nimport os\n```\n:::\n\n\n::: {#irp .cell execution_count=2}\n``` {}\n#| label: irp\nprint(\"Current Working Directory:\", os.getcwd())\ndf = pd.read_excel(r\"..\\\\data\\\\inputs\\\\historico_gobix_dr.xlsx\",\n sheet_name=\"Indice Retorno Precio\")\ndf = df.rename(columns={'Fecha': 'date', 'Valor': 'irp'})\ndf['date'] = pd.to_datetime(df['date'])\ndf = df.set_index('date')\ndf[\"price_return\"] = df[\"irp\"].pct_change()\ndf = df.dropna()\ndf = df[df.index <= '2021-09-30']\ndf['price_return'] = df['price_return'] * 10_000\ndf.to_csv('..\\\\data\\\\csv\\\\irp.csv')\n```\n\n::: {.cell-output .cell-output-stdout}\n```\nCurrent Working Directory: C:\\Users\\contr\\OneDrive - INTEC\\TRI 9\\ECONOM\\fixed_income_garch\\notebooks\n```\n:::\n:::\n\n\n",
"supporting": [
"data-extract_files\\figure-jats"
],
"filters": []
}
}
7 changes: 4 additions & 3 deletions _freeze/notebooks/data-screening/execute-results/xml.json

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2 changes: 1 addition & 1 deletion notebooks/data-extract.qmd
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```{python}
# | label: irp
print("Current Working Directory:", os.getcwd())
df = pd.read_excel(r"..\\data\\inputs\\Historico del Indicador GOBIX DR.xlsx",
df = pd.read_excel(r"..\\data\\inputs\\historico_gobix_dr.xlsx",
sheet_name="Indice Retorno Precio")
df = df.rename(columns={'Fecha': 'date', 'Valor': 'irp'})
df['date'] = pd.to_datetime(df['date'])
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