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msyrs/notebooks/python-notebook.ipynb
Palash Tyagi 6ea183419a updated python ntoebook
2024-11-18 01:03:14 +00:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Build and install the package\n",
"\n",
"```bash\n",
"python -m venv .venv\n",
"\n",
"# source .venv/bin/activate\n",
"./.venv/Scripts/activate\n",
"\n",
"pip install maturin ipywidgets\n",
"\n",
"maturin develop --release\n",
"```\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import Python packages\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import macrosynergy\n",
"import pandas as pd\n",
"import numpy as np\n",
"import polars as pl\n",
"import os"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import Python bindings - `msyrs`\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import msyrs"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"DATA_FOLDER_PATH = \"E:/Work/jpmaqs-data\"\n",
"\n",
"DQ_CLIENT_ID = os.getenv(\"DQ_CLIENT_ID\")\n",
"DQ_CLIENT_SECRET = os.getenv(\"DQ_CLIENT_SECRET\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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: (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>&quot;USD&quot;</td><td>&quot;ADPEMPL_SA_P1M1ML1&quot;</td><td>-0.173806</td><td>3.0</td><td>3</td><td>33</td></tr><tr><td>2010-03-04</td><td>&quot;USD&quot;</td><td>&quot;ADPEMPL_SA_P1M1ML1&quot;</td><td>-0.173806</td><td>3.0</td><td>4</td><td>34</td></tr><tr><td>2010-03-05</td><td>&quot;USD&quot;</td><td>&quot;ADPEMPL_SA_P1M1ML1&quot;</td><td>-0.173806</td><td>3.0</td><td>5</td><td>35</td></tr><tr><td>2010-03-08</td><td>&quot;USD&quot;</td><td>&quot;ADPEMPL_SA_P1M1ML1&quot;</td><td>-0.173806</td><td>3.0</td><td>8</td><td>38</td></tr><tr><td>2010-03-09</td><td>&quot;USD&quot;</td><td>&quot;ADPEMPL_SA_P1M1ML1&quot;</td><td>-0.173806</td><td>3.0</td><td>9</td><td>39</td></tr></tbody></table></div>"
],
"text/plain": [
"shape: (5, 7)\n",
"┌────────────┬─────┬────────────────────┬───────────┬─────────┬─────────┬─────────┐\n",
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
"╞════════════╪═════╪════════════════════╪═══════════╪═════════╪═════════╪═════════╡\n",
"│ 2010-03-03 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 3 ┆ 33 │\n",
"│ 2010-03-04 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 4 ┆ 34 │\n",
"│ 2010-03-05 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 5 ┆ 35 │\n",
"│ 2010-03-08 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 8 ┆ 38 │\n",
"│ 2010-03-09 ┆ USD ┆ ADPEMPL_SA_P1M1ML1 ┆ -0.173806 ┆ 3.0 ┆ 9 ┆ 39 │\n",
"└────────────┴─────┴────────────────────┴───────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfpath = f\"{DATA_FOLDER_PATH}/data/ADPEMPL_SA_P1M1ML1/USD_ADPEMPL_SA_P1M1ML1.csv\"\n",
"\n",
"\n",
"ldf: pl.DataFrame = msyrs.qdf.load_qdf(dfpath)\n",
"ldf.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"cids_dm = \"AUD.CAD.CHF.EUR.GBP.JPY.NOK.NZD.SEK.USD\".split(\".\")\n",
"cids_em = \"CLP.COP.CZK.HUF.IDR.ILS.INR.KRW.MXN.PLN.THB.TRY.TWD.ZAR\".split(\".\")\n",
"cids = cids_dm + cids_em\n",
"cids_dux = list(set(cids) - set([\"IDR\", \"NZD\"]))\n",
"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",
" \".\"\n",
")\n",
"\n",
"\n",
"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",
" \".\"\n",
")\n",
"xcats = ecos + mkts\n",
"\n",
"tickers = [f\"{c}_{x}\" for c in cids for x in xcats]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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: (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>f64</td><td>f64</td></tr></thead><tbody><tr><td>1990-04-26</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>26.0</td><td>223.0</td></tr><tr><td>1990-04-27</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>27.0</td><td>224.0</td></tr><tr><td>1990-04-30</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>30.0</td><td>227.0</td></tr><tr><td>1990-05-01</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>31.0</td><td>228.0</td></tr><tr><td>1990-05-02</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>32.0</td><td>229.0</td></tr></tbody></table></div>"
],
"text/plain": [
"shape: (5, 7)\n",
"┌────────────┬─────┬──────────────────┬──────────┬─────────┬─────────┬─────────┐\n",
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ f64 ┆ f64 │\n",
"╞════════════╪═════╪══════════════════╪══════════╪═════════╪═════════╪═════════╡\n",
"│ 1990-04-26 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 26.0 ┆ 223.0 │\n",
"│ 1990-04-27 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 27.0 ┆ 224.0 │\n",
"│ 1990-04-30 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 30.0 ┆ 227.0 │\n",
"│ 1990-05-01 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 31.0 ┆ 228.0 │\n",
"│ 1990-05-02 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 32.0 ┆ 229.0 │\n",
"└────────────┴─────┴──────────────────┴──────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloaded_df: pl.DataFrame = msyrs.download.download_jpmaqs_indicators_as_df(\n",
" client_id=DQ_CLIENT_ID,\n",
" client_secret=DQ_CLIENT_SECRET,\n",
" tickers=tickers,\n",
")\n",
"downloaded_df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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: (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>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>26</td><td>223</td></tr><tr><td>1990-04-27</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>27</td><td>224</td></tr><tr><td>1990-04-30</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>30</td><td>227</td></tr><tr><td>1990-05-01</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>31</td><td>228</td></tr><tr><td>1990-05-02</td><td>&quot;AUD&quot;</td><td>&quot;CPIC_SA_P1M1ML12&quot;</td><td>6.434599</td><td>2.0</td><td>32</td><td>229</td></tr></tbody></table></div>"
],
"text/plain": [
"shape: (5, 7)\n",
"┌────────────┬─────┬──────────────────┬──────────┬─────────┬─────────┬─────────┐\n",
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
"╞════════════╪═════╪══════════════════╪══════════╪═════════╪═════════╪═════════╡\n",
"│ 1990-04-26 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 26 ┆ 223 │\n",
"│ 1990-04-27 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 27 ┆ 224 │\n",
"│ 1990-04-30 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 30 ┆ 227 │\n",
"│ 1990-05-01 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 31 ┆ 228 │\n",
"│ 1990-05-02 ┆ AUD ┆ CPIC_SA_P1M1ML12 ┆ 6.434599 ┆ 2.0 ┆ 32 ┆ 229 │\n",
"└────────────┴─────┴──────────────────┴──────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"big_df: pl.DataFrame = msyrs.qdf.load_qdf_from_download_bank(\n",
" folder_path=DATA_FOLDER_PATH, tickers=tickers\n",
")\n",
"big_df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"sel_cids = [\"USD\", \"EUR\", \"GBP\", \"AUD\", \"CAD\"]\n",
"start = \"2024-11-14\""
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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: (20, 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>&quot;AUD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.329188</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;AUD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.826346</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;CAD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.199402</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;CAD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-0.696517</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;EUR&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>2.024889</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>2024-11-15</td><td>&quot;EUR&quot;</td><td>&quot;EQXR_VT10&quot;</td><td>-0.477901</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;GBP&quot;</td><td>&quot;EQXR_VT10&quot;</td><td>0.664208</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;GBP&quot;</td><td>&quot;EQXR_VT10&quot;</td><td>-0.068778</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;USD&quot;</td><td>&quot;EQXR_VT10&quot;</td><td>-0.549983</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;USD&quot;</td><td>&quot;EQXR_VT10&quot;</td><td>-1.198544</td><td>1.0</td><td>0</td><td>0</td></tr></tbody></table></div>"
],
"text/plain": [
"shape: (20, 7)\n",
"┌────────────┬─────┬───────────┬───────────┬─────────┬─────────┬─────────┐\n",
"│ real_date ┆ cid ┆ xcat ┆ value ┆ grading ┆ eop_lag ┆ mop_lag │\n",
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n",
"│ date ┆ str ┆ str ┆ f64 ┆ f64 ┆ i64 ┆ i64 │\n",
"╞════════════╪═════╪═══════════╪═══════════╪═════════╪═════════╪═════════╡\n",
"│ 2024-11-14 ┆ AUD ┆ EQXR_NSA ┆ 0.329188 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ AUD ┆ EQXR_NSA ┆ 0.826346 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ CAD ┆ EQXR_NSA ┆ 0.199402 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ CAD ┆ EQXR_NSA ┆ -0.696517 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ EUR ┆ EQXR_NSA ┆ 2.024889 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n",
"│ 2024-11-15 ┆ EUR ┆ EQXR_VT10 ┆ -0.477901 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ GBP ┆ EQXR_VT10 ┆ 0.664208 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ GBP ┆ EQXR_VT10 ┆ -0.068778 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ USD ┆ EQXR_VT10 ┆ -0.549983 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ USD ┆ EQXR_VT10 ┆ -1.198544 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eq_df = msyrs.qdf.reduce_dataframe(\n",
" df=big_df,\n",
" cids=sel_cids,\n",
" xcats=[\"EQXR_NSA\", \"EQXR_VT10\"],\n",
" start=start,\n",
")\n",
"eq_df"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"fx_xcats = [xc for xc in xcats if xc.startswith(\"FX\")]\n",
"fx_df = msyrs.qdf.reduce_dataframe(\n",
" df=big_df, cids=sel_cids, start=start, xcats=fx_xcats, intersect=True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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>2024-11-14</td><td>&quot;AUD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.329188</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;AUD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.826346</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;CAD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.199402</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;CAD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-0.696517</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;EUR&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>2.024889</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;EUR&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-0.661567</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;GBP&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>0.596533</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;GBP&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-0.06177</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;USD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-0.627493</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;USD&quot;</td><td>&quot;EQXR_NSA&quot;</td><td>-1.367457</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",
"│ 2024-11-14 ┆ AUD ┆ EQXR_NSA ┆ 0.329188 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ AUD ┆ EQXR_NSA ┆ 0.826346 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ CAD ┆ EQXR_NSA ┆ 0.199402 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ CAD ┆ EQXR_NSA ┆ -0.696517 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ EUR ┆ EQXR_NSA ┆ 2.024889 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ EUR ┆ EQXR_NSA ┆ -0.661567 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ GBP ┆ EQXR_NSA ┆ 0.596533 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ GBP ┆ EQXR_NSA ┆ -0.06177 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ USD ┆ EQXR_NSA ┆ -0.627493 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ USD ┆ EQXR_NSA ┆ -1.367457 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"└────────────┴─────┴──────────┴───────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 12,
"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": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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>2024-11-14</td><td>&quot;GBP&quot;</td><td>&quot;FXXR_NSA&quot;</td><td>-0.067809</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;GBP&quot;</td><td>&quot;FXXR_NSA&quot;</td><td>-0.430055</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;AUD&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.4294</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;AUD&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.452535</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;CAD&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-1.132314</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;CAD&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-1.755605</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;EUR&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.292422</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;EUR&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.855108</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-14</td><td>&quot;GBP&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.110526</td><td>1.0</td><td>0</td><td>0</td></tr><tr><td>2024-11-15</td><td>&quot;GBP&quot;</td><td>&quot;FXXR_VT10&quot;</td><td>-0.700977</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",
"│ 2024-11-14 ┆ GBP ┆ FXXR_NSA ┆ -0.067809 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ GBP ┆ FXXR_NSA ┆ -0.430055 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ AUD ┆ FXXR_VT10 ┆ -0.4294 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ AUD ┆ FXXR_VT10 ┆ -0.452535 ┆ 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",
"│ 2024-11-14 ┆ EUR ┆ FXXR_VT10 ┆ -0.292422 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ EUR ┆ FXXR_VT10 ┆ -0.855108 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-14 ┆ GBP ┆ FXXR_VT10 ┆ -0.110526 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"│ 2024-11-15 ┆ GBP ┆ FXXR_VT10 ┆ -0.700977 ┆ 1.0 ┆ 0 ┆ 0 │\n",
"└────────────┴─────┴───────────┴───────────┴─────────┴─────────┴─────────┘"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_df.tail(10)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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