{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import Python packages\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import macrosynergy\n",
"import pandas as pd\n",
"import numpy as np\n",
"import polars as pl\n",
"import os\n",
"\n",
"from macrosynergy.panel import view_timelines\n",
"from macrosynergy.management.types import QuantamentalDataFrame\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import Python bindings - `msyrs`\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import msyrs"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"DATA_FOLDER_PATH = \"E:/Work/jpmaqs-data\"\n",
"# DATA_FOLDER_PATH = \"C:/Users/PalashTyagi/Code/go-dataquery/jpmaqs-data\"\n",
"DQ_CLIENT_ID = os.getenv(\"DQ_CLIENT_ID\")\n",
"DQ_CLIENT_SECRET = os.getenv(\"DQ_CLIENT_SECRET\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import time\n",
"\n",
"nb_start_time = time.time()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Time taken to load qdf: 0.0\n"
]
},
{
"data": {
"text/html": [
"\n",
"
shape: (5, 7)| real_date | cid | xcat | value | grading | eop_lag | mop_lag |
|---|
| date | str | str | f64 | f64 | i64 | i64 |
| 2010-03-03 | "USD" | "ADPEMPL_SA_P1M1ML1" | -0.173806 | 3.0 | 3 | 33 |
| 2010-03-04 | "USD" | "ADPEMPL_SA_P1M1ML1" | -0.173806 | 3.0 | 4 | 34 |
| 2010-03-05 | "USD" | "ADPEMPL_SA_P1M1ML1" | -0.173806 | 3.0 | 5 | 35 |
| 2010-03-08 | "USD" | "ADPEMPL_SA_P1M1ML1" | -0.173806 | 3.0 | 8 | 38 |
| 2010-03-09 | "USD" | "ADPEMPL_SA_P1M1ML1" | -0.173806 | 3.0 | 9 | 39 |