mirror of
https://github.com/Magnus167/msyrs.git
synced 2025-08-20 09:59:59 +00:00
464 lines
25 KiB
Plaintext
464 lines
25 KiB
Plaintext
{
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"cells": [
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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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"# Build and install the package\n",
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"\n",
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"First patch `pyo3-polars`:\n",
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"\n",
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"\n",
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"- Use [this diff](https://github.com/pola-rs/pyo3-polars/compare/main...Magnus167:pyo3-polars:main) to make changes to the `pyo3-polars` package.\n",
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"\n",
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"\n",
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"Install the package:\n",
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"\n",
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"```bash\n",
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"python -m venv .venv\n",
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"\n",
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"# source .venv/bin/activate\n",
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"./.venv/Scripts/activate\n",
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"\n",
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"pip install maturin ipywidgets\n",
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"\n",
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"maturin develop --release\n",
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"```\n"
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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": "markdown",
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"metadata": {},
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"source": [
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"### Import Python packages\n"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import macrosynergy\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import polars as pl\n",
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"import os"
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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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"### Import Python bindings - `msyrs`\n"
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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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"import msyrs"
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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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"# DATA_FOLDER_PATH = \"E:/Work/jpmaqs-data\"\n",
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"DATA_FOLDER_PATH = \"C:/Users/PalashTyagi/Code/go-dataquery/jpmaqs-data\"\n",
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"DQ_CLIENT_ID = os.getenv(\"DQ_CLIENT_ID\")\n",
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"DQ_CLIENT_SECRET = os.getenv(\"DQ_CLIENT_SECRET\")"
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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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{
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"data": {
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"text/html": [
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"<div><style>\n",
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".dataframe > thead > tr,\n",
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".dataframe > tbody > tr {\n",
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" text-align: right;\n",
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" white-space: pre-wrap;\n",
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"}\n",
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"</style>\n",
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"<small>shape: (5, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>real_date</th><th>cid</th><th>xcat</th><th>value</th><th>grading</th><th>eop_lag</th><th>mop_lag</th></tr><tr><td>date</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>2010-03-03</td><td>"USD"</td><td>"ADPEMPL_SA_P1M1ML1"</td><td>-0.173806</td><td>3.0</td><td>3</td><td>33</td></tr><tr><td>2010-03-04</td><td>"USD"</td><td>"ADPEMPL_SA_P1M1ML1"</td><td>-0.173806</td><td>3.0</td><td>4</td><td>34</td></tr><tr><td>2010-03-05</td><td>"USD"</td><td>"ADPEMPL_SA_P1M1ML1"</td><td>-0.173806</td><td>3.0</td><td>5</td><td>35</td></tr><tr><td>2010-03-08</td><td>"USD"</td><td>"ADPEMPL_SA_P1M1ML1"</td><td>-0.173806</td><td>3.0</td><td>8</td><td>38</td></tr><tr><td>2010-03-09</td><td>"USD"</td><td>"ADPEMPL_SA_P1M1ML1"</td><td>-0.173806</td><td>3.0</td><td>9</td><td>39</td></tr></tbody></table></div>"
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],
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"text/plain": [
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"shape: (5, 7)\n",
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"┌────────────┬─────┬────────────────────┬───────────┬─────────┬─────────┬─────────┐\n",
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"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
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"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
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"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
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"╞════════════╪═════╪════════════════════╪═══════════╪═════════╪═════════╪═════════╡\n",
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"│ 2010-03-03 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 3 ┆ 33 │\n",
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"│ 2010-03-04 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 4 ┆ 34 │\n",
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"│ 2010-03-05 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 5 ┆ 35 │\n",
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"│ 2010-03-08 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 8 ┆ 38 │\n",
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"│ 2010-03-09 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 9 ┆ 39 │\n",
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"└────────────┴─────┴────────────────────┴───────────┴─────────┴─────────┴─────────┘"
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]
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},
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"execution_count": 4,
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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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"dfpath = f\"{DATA_FOLDER_PATH}/data/ADPEMPL_SA_P1M1ML1/USD_ADPEMPL_SA_P1M1ML1.csv\"\n",
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"\n",
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"\n",
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"ldf: pl.DataFrame = msyrs.qdf.load_qdf(dfpath)\n",
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"ldf.head(5)"
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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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"source": [
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"cids_dm = \"AUD.CAD.CHF.EUR.GBP.JPY.NOK.NZD.SEK.USD\".split(\".\")\n",
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"cids_em = \"CLP.COP.CZK.HUF.IDR.ILS.INR.KRW.MXN.PLN.THB.TRY.TWD.ZAR\".split(\".\")\n",
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"cids = cids_dm + cids_em\n",
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"cids_dux = list(set(cids) - set([\"IDR\", \"NZD\"]))\n",
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"ecos = \"CPIC_SA_P1M1ML12.CPIC_SJA_P3M3ML3AR.CPIC_SJA_P6M6ML6AR.CPIH_SA_P1M1ML12.CPIH_SJA_P3M3ML3AR.CPIH_SJA_P6M6ML6AR.INFTEFF_NSA.INTRGDP_NSA_P1M1ML12_3MMA.INTRGDPv5Y_NSA_P1M1ML12_3MMA.PCREDITGDP_SJA_D1M1ML12.RGDP_SA_P1Q1QL4_20QMA.RYLDIRS02Y_NSA.RYLDIRS05Y_NSA.PCREDITBN_SJA_P1M1ML12\".split(\n",
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" \".\"\n",
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")\n",
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"\n",
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"\n",
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"mkts = \"DU02YXR_NSA.DU05YXR_NSA.DU02YXR_VT10.DU05YXR_VT10.EQXR_NSA.EQXR_VT10.FXXR_NSA.FXXR_VT10.FXCRR_NSA.FXTARGETED_NSA.FXUNTRADABLE_NSA\".split(\n",
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" \".\"\n",
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")\n",
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"xcats = ecos + mkts\n",
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"\n",
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"tickers = [f\"{c}_{x}\" for c in cids for x in xcats]"
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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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"# downloaded_df: pl.DataFrame = msyrs.download.download_jpmaqs_indicators_as_df(\n",
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"# client_id=DQ_CLIENT_ID,\n",
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"# client_secret=DQ_CLIENT_SECRET,\n",
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"# tickers=tickers,\n",
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"# )\n",
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"# downloaded_df.head(5)"
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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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{
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"data": {
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"text/html": [
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"<div><style>\n",
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".dataframe > thead > tr,\n",
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".dataframe > tbody > tr {\n",
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" text-align: right;\n",
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" white-space: pre-wrap;\n",
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"}\n",
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"</style>\n",
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"<small>shape: (5, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>real_date</th><th>cid</th><th>xcat</th><th>value</th><th>grading</th><th>eop_lag</th><th>mop_lag</th></tr><tr><td>date</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>1990-04-26</td><td>"AUD"</td><td>"CPIC_SA_P1M1ML12"</td><td>6.434599</td><td>2.0</td><td>26</td><td>223</td></tr><tr><td>1990-04-27</td><td>"AUD"</td><td>"CPIC_SA_P1M1ML12"</td><td>6.434599</td><td>2.0</td><td>27</td><td>224</td></tr><tr><td>1990-04-30</td><td>"AUD"</td><td>"CPIC_SA_P1M1ML12"</td><td>6.434599</td><td>2.0</td><td>30</td><td>227</td></tr><tr><td>1990-05-01</td><td>"AUD"</td><td>"CPIC_SA_P1M1ML12"</td><td>6.434599</td><td>2.0</td><td>31</td><td>228</td></tr><tr><td>1990-05-02</td><td>"AUD"</td><td>"CPIC_SA_P1M1ML12"</td><td>6.434599</td><td>2.0</td><td>32</td><td>229</td></tr></tbody></table></div>"
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],
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"text/plain": [
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"shape: (5, 7)\n",
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"┌────────────┬─────┬──────────────────┬──────────┬─────────┬─────────┬─────────┐\n",
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"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
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"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
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"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
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"╞════════════╪═════╪══════════════════╪══════════╪═════════╪═════════╪═════════╡\n",
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"│ 1990-04-26 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 26 ┆ 223 │\n",
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"│ 1990-04-27 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 27 ┆ 224 │\n",
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"│ 1990-04-30 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 30 ┆ 227 │\n",
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"│ 1990-05-01 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 31 ┆ 228 │\n",
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"│ 1990-05-02 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 32 ┆ 229 │\n",
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"└────────────┴─────┴──────────────────┴──────────┴─────────┴─────────┴─────────┘"
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]
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},
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"execution_count": 7,
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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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"big_df: pl.DataFrame = msyrs.qdf.load_qdf_from_download_bank(\n",
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" folder_path=DATA_FOLDER_PATH, xcats=xcats\n",
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")\n",
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"big_df.head(5)"
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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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{
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"data": {
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"text/plain": [
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"275.7717933654785"
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]
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},
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"execution_count": 8,
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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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"big_df.estimated_size(\"mb\")"
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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": 9,
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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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"870.6678009033203"
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]
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},
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"execution_count": 9,
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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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"big_df.to_pandas().memory_usage(deep=True).sum() / 1024**2"
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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": 10,
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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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"211.74823188781738"
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]
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},
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"execution_count": 10,
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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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"macrosynergy.management.types.QuantamentalDataFrame(big_df.to_pandas()).memory_usage(\n",
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" deep=True\n",
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").sum() / 1024**2"
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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": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"sel_cids = [\"USD\", \"EUR\", \"GBP\", \"AUD\", \"CAD\"]\n",
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"start = \"2024-11-14\""
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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": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div><style>\n",
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".dataframe > thead > tr,\n",
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".dataframe > tbody > tr {\n",
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" text-align: right;\n",
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" white-space: pre-wrap;\n",
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"}\n",
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"</style>\n",
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"<small>shape: (30, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>real_date</th><th>cid</th><th>xcat</th><th>value</th><th>grading</th><th>eop_lag</th><th>mop_lag</th></tr><tr><td>date</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>2024-11-14</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.329188</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.826346</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.156683</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"CAD"</td><td>"EQXR_NSA"</td><td>0.199402</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"CAD"</td><td>"EQXR_NSA"</td><td>-0.696517</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td></tr><tr><td>2024-11-15</td><td>"GBP"</td><td>"EQXR_VT10"</td><td>-0.068778</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"GBP"</td><td>"EQXR_VT10"</td><td>0.488626</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"USD"</td><td>"EQXR_VT10"</td><td>-0.549983</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"USD"</td><td>"EQXR_VT10"</td><td>-1.198544</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"USD"</td><td>"EQXR_VT10"</td><td>0.349312</td><td>1.0</td><td>0</td><td>0</td></tr></tbody></table></div>"
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],
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"text/plain": [
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"shape: (30, 7)\n",
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"┌────────────┬─────┬───────────┬───────────┬─────────┬─────────┬─────────┐\n",
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"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
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"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
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"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
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"╞════════════╪═════╪═══════════╪═══════════╪═════════╪═════════╪═════════╡\n",
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"│ 2024-11-14 ┆ AUD ┆ EQXR_NSA ┆ 0.329188 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-15 ┆ AUD ┆ EQXR_NSA ┆ 0.826346 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-18 ┆ AUD ┆ EQXR_NSA ┆ 0.156683 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-14 ┆ CAD ┆ EQXR_NSA ┆ 0.199402 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-15 ┆ CAD ┆ EQXR_NSA ┆ -0.696517 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n",
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"│ 2024-11-15 ┆ GBP ┆ EQXR_VT10 ┆ -0.068778 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-18 ┆ GBP ┆ EQXR_VT10 ┆ 0.488626 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-14 ┆ USD ┆ EQXR_VT10 ┆ -0.549983 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-15 ┆ USD ┆ EQXR_VT10 ┆ -1.198544 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"│ 2024-11-18 ┆ USD ┆ EQXR_VT10 ┆ 0.349312 ┆ 1.0 ┆ 0 ┆ 0 │\n",
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"└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
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]
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},
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"execution_count": 12,
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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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"eq_df = msyrs.qdf.reduce_dataframe(\n",
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" df=big_df,\n",
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" cids=sel_cids,\n",
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" xcats=[\"EQXR_NSA\", \"EQXR_VT10\"],\n",
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" start=start,\n",
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")\n",
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"eq_df"
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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": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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"fx_xcats = [xc for xc in xcats if xc.startswith(\"FX\")]\n",
|
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"fx_df = msyrs.qdf.reduce_dataframe(\n",
|
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" df=big_df, cids=sel_cids, start=start, xcats=fx_xcats, intersect=True\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": 14,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div><style>\n",
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".dataframe > thead > tr,\n",
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".dataframe > tbody > tr {\n",
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" text-align: right;\n",
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" white-space: pre-wrap;\n",
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"}\n",
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"</style>\n",
|
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"<small>shape: (10, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>real_date</th><th>cid</th><th>xcat</th><th>value</th><th>grading</th><th>eop_lag</th><th>mop_lag</th></tr><tr><td>date</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>2024-11-14</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.329188</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.826346</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"AUD"</td><td>"EQXR_NSA"</td><td>0.156683</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"CAD"</td><td>"EQXR_NSA"</td><td>0.199402</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"CAD"</td><td>"EQXR_NSA"</td><td>-0.696517</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"CAD"</td><td>"EQXR_NSA"</td><td>0.146961</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"EUR"</td><td>"EQXR_NSA"</td><td>2.024889</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"EUR"</td><td>"EQXR_NSA"</td><td>-0.661567</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"EUR"</td><td>"EQXR_NSA"</td><td>-0.145682</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"GBP"</td><td>"EQXR_NSA"</td><td>0.596533</td><td>1.0</td><td>0</td><td>0</td></tr></tbody></table></div>"
|
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],
|
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"text/plain": [
|
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"shape: (10, 7)\n",
|
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"┌────────────┬─────┬──────────┬───────────┬─────────┬─────────┬─────────┐\n",
|
|
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
|
|
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
|
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"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
|
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"╞════════════╪═════╪══════════╪═══════════╪═════════╪═════════╪═════════╡\n",
|
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"│ 2024-11-14 ┆ AUD ┆ EQXR_NSA ┆ 0.329188 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ AUD ┆ EQXR_NSA ┆ 0.826346 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ AUD ┆ EQXR_NSA ┆ 0.156683 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ CAD ┆ EQXR_NSA ┆ 0.199402 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ CAD ┆ EQXR_NSA ┆ -0.696517 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ CAD ┆ EQXR_NSA ┆ 0.146961 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ EUR ┆ EQXR_NSA ┆ 2.024889 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ EUR ┆ EQXR_NSA ┆ -0.661567 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ EUR ┆ EQXR_NSA ┆ -0.145682 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ GBP ┆ EQXR_NSA ┆ 0.596533 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"└────────────┴─────┴──────────┴───────────┴─────────┴─────────┴─────────┘"
|
|
]
|
|
},
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"new_df: pl.DataFrame = msyrs.qdf.update_dataframe(df=eq_df, df_add=fx_df)\n",
|
|
"\n",
|
|
"new_df.head(10)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
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"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
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"<div><style>\n",
|
|
".dataframe > thead > tr,\n",
|
|
".dataframe > tbody > tr {\n",
|
|
" text-align: right;\n",
|
|
" white-space: pre-wrap;\n",
|
|
"}\n",
|
|
"</style>\n",
|
|
"<small>shape: (10, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>real_date</th><th>cid</th><th>xcat</th><th>value</th><th>grading</th><th>eop_lag</th><th>mop_lag</th></tr><tr><td>date</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>2024-11-18</td><td>"AUD"</td><td>"FXXR_VT10"</td><td>0.518501</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"CAD"</td><td>"FXXR_VT10"</td><td>-1.132314</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"CAD"</td><td>"FXXR_VT10"</td><td>-1.755605</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"CAD"</td><td>"FXXR_VT10"</td><td>0.751675</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"EUR"</td><td>"FXXR_VT10"</td><td>-0.292422</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"EUR"</td><td>"FXXR_VT10"</td><td>-0.855108</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"EUR"</td><td>"FXXR_VT10"</td><td>0.791866</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>"GBP"</td><td>"FXXR_VT10"</td><td>-0.110526</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>"GBP"</td><td>"FXXR_VT10"</td><td>-0.700977</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-18</td><td>"GBP"</td><td>"FXXR_VT10"</td><td>-0.140805</td><td>1.0</td><td>0</td><td>0</td></tr></tbody></table></div>"
|
|
],
|
|
"text/plain": [
|
|
"shape: (10, 7)\n",
|
|
"┌────────────┬─────┬───────────┬───────────┬─────────┬─────────┬─────────┐\n",
|
|
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
|
|
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
|
|
"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
|
|
"╞════════════╪═════╪═══════════╪═══════════╪═════════╪═════════╪═════════╡\n",
|
|
"│ 2024-11-18 ┆ AUD ┆ FXXR_VT10 ┆ 0.518501 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ CAD ┆ FXXR_VT10 ┆ -1.132314 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ CAD ┆ FXXR_VT10 ┆ -1.755605 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ CAD ┆ FXXR_VT10 ┆ 0.751675 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ EUR ┆ FXXR_VT10 ┆ -0.292422 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ EUR ┆ FXXR_VT10 ┆ -0.855108 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ EUR ┆ FXXR_VT10 ┆ 0.791866 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-14 ┆ GBP ┆ FXXR_VT10 ┆ -0.110526 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-15 ┆ GBP ┆ FXXR_VT10 ┆ -0.700977 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"│ 2024-11-18 ┆ GBP ┆ FXXR_VT10 ┆ -0.140805 ┆ 1.0 ┆ 0 ┆ 0 │\n",
|
|
"└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
|
|
]
|
|
},
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"new_df.tail(10)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
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|
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"name": "python3"
|
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},
|
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"language_info": {
|
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|
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|
|
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|
|
"nbconvert_exporter": "python",
|
|
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|
|
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|
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|
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|
|
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|
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|