FilippoGuerrieri26/styleanalysis.ipynb

## styleanalysis.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9f3403dc-f586-4b40-a20b-9b0a8bd1ec36",
   "metadata": {},
   "source": [
    "# Sharpe Style Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f07eeb01-33d3-4757-9a4b-78bd04f23600",
   "metadata": {},
   "source": [
    "Style analysis is a technique for determining the exposure of a mutual fund, hedge fund, or any equity portfolio to various asset classes.\n",
    "\n",
    "Style analysis is a powerful technique that was developed by William Sharpe (1988) to analyze the investment styles of portfolio managers. Rather\n",
    "than analyzing individual portfolio holdings, this method looks at how a portfolio’s historical returns are related to various investment styles.\n",
    "\n",
    "The coefficients of performing style analysis on the observed return of a manager's portfolio, can be interpreted as weights in a portfolio of building blocks which together mimic that return series. The exercise can reveal drifts in a manager's style, as well as provide insight into what the manager is likely doing to obtain the returns."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ee83cc1-b421-42cd-9ef1-dcfb84c4073d",
   "metadata": {},
   "source": [
    "## Performing Sharpe Style Analysis\n",
    "In order to obtain the portfolio weights, we are gonna be asking the optimizer to find the weights that minimizes the square of the difference between the observed series and the returns of a benchmark portfolio that holds the explanatory building blocks in those same weights. This is equivalent to minimizing the tracking error between the two return series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ae5bd1f7-6df2-4051-acd2-561450832c12",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.optimize import minimize, Bounds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c76ad44-a664-4df7-a8da-8bf2f8af29b6",
   "metadata": {},
   "source": [
    "## 1. Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ee776c31-bf4b-40ce-972e-e899ca85ad71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Agric</th>\n",
       "      <th>Food</th>\n",
       "      <th>Soda</th>\n",
       "      <th>Beer</th>\n",
       "      <th>Smoke</th>\n",
       "      <th>Toys</th>\n",
       "      <th>Fun</th>\n",
       "      <th>Books</th>\n",
       "      <th>Hshld</th>\n",
       "      <th>Clths</th>\n",
       "      <th>...</th>\n",
       "      <th>Boxes</th>\n",
       "      <th>Trans</th>\n",
       "      <th>Whlsl</th>\n",
       "      <th>Rtail</th>\n",
       "      <th>Meals</th>\n",
       "      <th>Banks</th>\n",
       "      <th>Insur</th>\n",
       "      <th>RlEst</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Other</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-02-29</th>\n",
       "      <td>0.068472</td>\n",
       "      <td>-0.071657</td>\n",
       "      <td>-0.086558</td>\n",
       "      <td>-0.116859</td>\n",
       "      <td>-0.039824</td>\n",
       "      <td>0.004201</td>\n",
       "      <td>-0.033265</td>\n",
       "      <td>-0.002529</td>\n",
       "      <td>-0.116674</td>\n",
       "      <td>-0.105813</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.127882</td>\n",
       "      <td>-0.052703</td>\n",
       "      <td>0.016575</td>\n",
       "      <td>-0.041647</td>\n",
       "      <td>-0.120569</td>\n",
       "      <td>-0.113040</td>\n",
       "      <td>-0.131426</td>\n",
       "      <td>0.020556</td>\n",
       "      <td>0.066967</td>\n",
       "      <td>-0.015026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-31</th>\n",
       "      <td>0.043484</td>\n",
       "      <td>0.104341</td>\n",
       "      <td>-0.003911</td>\n",
       "      <td>0.001821</td>\n",
       "      <td>0.052309</td>\n",
       "      <td>0.078418</td>\n",
       "      <td>0.111058</td>\n",
       "      <td>0.126672</td>\n",
       "      <td>-0.147599</td>\n",
       "      <td>0.250240</td>\n",
       "      <td>...</td>\n",
       "      <td>0.127391</td>\n",
       "      <td>0.127595</td>\n",
       "      <td>0.069853</td>\n",
       "      <td>0.144585</td>\n",
       "      <td>0.160870</td>\n",
       "      <td>0.150960</td>\n",
       "      <td>0.233528</td>\n",
       "      <td>0.042740</td>\n",
       "      <td>0.149051</td>\n",
       "      <td>-0.015447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-30</th>\n",
       "      <td>-0.058529</td>\n",
       "      <td>-0.051005</td>\n",
       "      <td>-0.005994</td>\n",
       "      <td>0.036583</td>\n",
       "      <td>0.038363</td>\n",
       "      <td>0.001111</td>\n",
       "      <td>0.044316</td>\n",
       "      <td>-0.077032</td>\n",
       "      <td>0.047017</td>\n",
       "      <td>0.036836</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.082692</td>\n",
       "      <td>0.034616</td>\n",
       "      <td>-0.030021</td>\n",
       "      <td>-0.054818</td>\n",
       "      <td>0.037121</td>\n",
       "      <td>-0.028531</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>-0.025197</td>\n",
       "      <td>-0.112271</td>\n",
       "      <td>0.088046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-31</th>\n",
       "      <td>-0.011313</td>\n",
       "      <td>0.173636</td>\n",
       "      <td>-0.073239</td>\n",
       "      <td>0.119248</td>\n",
       "      <td>0.194693</td>\n",
       "      <td>0.010906</td>\n",
       "      <td>0.013244</td>\n",
       "      <td>-0.064416</td>\n",
       "      <td>0.029127</td>\n",
       "      <td>-0.053616</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.025352</td>\n",
       "      <td>-0.036809</td>\n",
       "      <td>0.013387</td>\n",
       "      <td>-0.031333</td>\n",
       "      <td>-0.042611</td>\n",
       "      <td>0.079685</td>\n",
       "      <td>0.062347</td>\n",
       "      <td>-0.032784</td>\n",
       "      <td>-0.065917</td>\n",
       "      <td>0.104813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-06-30</th>\n",
       "      <td>0.002221</td>\n",
       "      <td>0.017665</td>\n",
       "      <td>0.013378</td>\n",
       "      <td>0.060779</td>\n",
       "      <td>0.030101</td>\n",
       "      <td>-0.016968</td>\n",
       "      <td>-0.009577</td>\n",
       "      <td>-0.003258</td>\n",
       "      <td>-0.029174</td>\n",
       "      <td>-0.077753</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.030232</td>\n",
       "      <td>-0.018448</td>\n",
       "      <td>-0.024008</td>\n",
       "      <td>-0.019798</td>\n",
       "      <td>-0.039315</td>\n",
       "      <td>-0.099044</td>\n",
       "      <td>-0.027761</td>\n",
       "      <td>-0.014854</td>\n",
       "      <td>0.143584</td>\n",
       "      <td>0.029686</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Agric      Food      Soda      Beer     Smoke      Toys  \\\n",
       "Date                                                                     \n",
       "2000-02-29  0.068472 -0.071657 -0.086558 -0.116859 -0.039824  0.004201   \n",
       "2000-03-31  0.043484  0.104341 -0.003911  0.001821  0.052309  0.078418   \n",
       "2000-04-30 -0.058529 -0.051005 -0.005994  0.036583  0.038363  0.001111   \n",
       "2000-05-31 -0.011313  0.173636 -0.073239  0.119248  0.194693  0.010906   \n",
       "2000-06-30  0.002221  0.017665  0.013378  0.060779  0.030101 -0.016968   \n",
       "\n",
       "                 Fun     Books     Hshld     Clths  ...     Boxes     Trans  \\\n",
       "Date                                                ...                       \n",
       "2000-02-29 -0.033265 -0.002529 -0.116674 -0.105813  ... -0.127882 -0.052703   \n",
       "2000-03-31  0.111058  0.126672 -0.147599  0.250240  ...  0.127391  0.127595   \n",
       "2000-04-30  0.044316 -0.077032  0.047017  0.036836  ... -0.082692  0.034616   \n",
       "2000-05-31  0.013244 -0.064416  0.029127 -0.053616  ... -0.025352 -0.036809   \n",
       "2000-06-30 -0.009577 -0.003258 -0.029174 -0.077753  ... -0.030232 -0.018448   \n",
       "\n",
       "               Whlsl     Rtail     Meals     Banks     Insur     RlEst  \\\n",
       "Date                                                                     \n",
       "2000-02-29  0.016575 -0.041647 -0.120569 -0.113040 -0.131426  0.020556   \n",
       "2000-03-31  0.069853  0.144585  0.160870  0.150960  0.233528  0.042740   \n",
       "2000-04-30 -0.030021 -0.054818  0.037121 -0.028531  0.000034 -0.025197   \n",
       "2000-05-31  0.013387 -0.031333 -0.042611  0.079685  0.062347 -0.032784   \n",
       "2000-06-30 -0.024008 -0.019798 -0.039315 -0.099044 -0.027761 -0.014854   \n",
       "\n",
       "                 Fin     Other  \n",
       "Date                            \n",
       "2000-02-29  0.066967 -0.015026  \n",
       "2000-03-31  0.149051 -0.015447  \n",
       "2000-04-30 -0.112271  0.088046  \n",
       "2000-05-31 -0.065917  0.104813  \n",
       "2000-06-30  0.143584  0.029686  \n",
       "\n",
       "[5 rows x 49 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 49 Industry portfolio data\n",
    "returns = pd.read_excel(\"../49_portfolios.xlsx\")\n",
    "returns.set_index(\"Date\", inplace=True)\n",
    "returns.columns = returns.columns.str.strip()\n",
    "returns.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "974fd5b0-af89-470e-bc27-bbe24e9194b1",
   "metadata": {},
   "source": [
    "## 2. Define Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52e16117-1793-46c0-ba21-4a82dd6b95d9",
   "metadata": {},
   "source": [
    "The tracking error is defined as the volatility of the difference between the portfolio's returns and the benchmark's returns\n",
    "\n",
    "$TE = \\sqrt(\\sum(R_p - R_b)^2$\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c246b1c0-76cc-4c22-9e1d-28d0d31b03e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tracking error function\n",
    "def tracking_error(r_a, r_b):\n",
    "    \"\"\"\n",
    "    Returns the Tracking Error between the two return series\n",
    "    \"\"\"\n",
    "    return np.sqrt(((r_a - r_b)**2).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b31d85e1-cbd9-470a-86d3-1700570c0fba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tracking error to be optimized\n",
    "def portfolio_tracking_error(weights, portfolio_ret, bb_ret):\n",
    "    \"\"\"\n",
    "    returns the tracking error between the reference returns\n",
    "    and a portfolio of building block returns held with given weights\n",
    "    \"\"\"\n",
    "    return tracking_error(portfolio_ret, (weights * bb_ret).sum(axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "29390663-8e52-4d16-9e9a-9e82f184fe99",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Style analysis functions. that leverages on the quadratic optimizer and the tracking error function defined above\n",
    "def style_analysis(dependent_variable, explanatory_variables):\n",
    "    \"\"\"\n",
    "    Returns the optimal weights that minimizes the Tracking error between\n",
    "    a portfolio of the explanatory variables and the dependent variable\n",
    "    \"\"\"\n",
    "    n = explanatory_variables.shape[1]\n",
    "    init_guess = np.repeat(1/n, n)\n",
    "    bounds = ((0.0, 1.0),) * n # an N-tuple of 2-tuples!\n",
    "    # construct the constraints\n",
    "    weights_sum_to_1 = {'type': 'eq',\n",
    "                        'fun': lambda weights: np.sum(weights) - 1\n",
    "    }\n",
    "    solution = minimize(portfolio_tracking_error, init_guess,\n",
    "                       args=(dependent_variable, explanatory_variables,), method='SLSQP',\n",
    "                       options={'disp': False},\n",
    "                       constraints=(weights_sum_to_1,),\n",
    "                       bounds=bounds)\n",
    "    weights = pd.Series(solution.x, index=explanatory_variables.columns)\n",
    "    return weights"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ded786b6-9d23-4aca-831a-2ea78c1d7ea1",
   "metadata": {},
   "source": [
    "## 3. implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a53a0630-b4d8-4196-a61f-55dd13f136c6",
   "metadata": {},
   "source": [
    "Let's now simulate a Toy Portfolio of a manager investing \n",
    "- 30% in the Food industry\n",
    "- 20% in the Smoke industry \n",
    "- 20% in the Financial industry\n",
    "- 20% in other securities having 0% mean return and 15% annualized volatility\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a7dd702c-752d-4a33-9104-5b3797b2244f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2000-02-29   -0.022116\n",
       "2000-03-31    0.075314\n",
       "2000-04-30   -0.030485\n",
       "2000-05-31    0.075064\n",
       "2000-06-30    0.048007\n",
       "                ...   \n",
       "2023-01-31    0.009971\n",
       "2023-02-28   -0.014495\n",
       "2023-03-31    0.014809\n",
       "2023-04-30   -0.004689\n",
       "2023-05-31   -0.057184\n",
       "Length: 280, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mgr_r = (.3 * returns[\"Food\"] \n",
    "         + .2 * returns[\"Smoke\"] \n",
    "         + .2 * returns[\"Fin\"]\n",
    "         + 0.3 * np.random.normal(scale=0.15/(12**.5), size=returns.shape[0]))\n",
    "mgr_r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2a0f10e-9b89-435c-b402-7526746c5462",
   "metadata": {},
   "source": [
    "## 4. Static Style Anlysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bb5636f5-33be-4f46-ae58-9c6be8457bbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "weights = style_analysis(mgr_r, returns) * 100\n",
    "weights.sort_values(ascending=False).head(6).plot.bar(figsize=(18,8))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dba98b4f-d586-4ab0-ba36-daa236d448c9",
   "metadata": {},
   "source": [
    "## 5. Dynamic Analysis: Style Drifts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a76ff47-ee77-495d-86e0-7d4898be8f7b",
   "metadata": {},
   "source": [
    "The exercise above was a point-in-time exercise (static).\n",
    "\n",
    "Typically, style analysis is performed dynamically by implementing a rolling-window approach.\n",
    "\n",
    "If we then plot the style changes of the portfolio, we will be able to understand \"style drifts\" of the portfolio manager during the investment period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b7f923b9-8b34-4047-9332-13e90e3cd63c",
   "metadata": {},
   "outputs": [],
   "source": [
    "window = 22\n",
    "style_weights = pd.DataFrame()\n",
    "\n",
    "for d in range(mgr_r.shape[0] - window):\n",
    "    tmp_w = style_analysis(mgr_r.iloc[d: d + window], returns[d : d + window])\n",
    "    style_weights = pd.concat([style_weights, tmp_w.to_frame().T])\n",
    "\n",
    "style_weights.index = mgr_r.index[: -window]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b3dd4b72-2931-4f89-8e14-7cb3ac1843bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Food</th>\n",
       "      <th>Smoke</th>\n",
       "      <th>Fin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-02-29</th>\n",
       "      <td>0.285603</td>\n",
       "      <td>0.173399</td>\n",
       "      <td>1.403951e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-31</th>\n",
       "      <td>0.281060</td>\n",
       "      <td>0.176609</td>\n",
       "      <td>1.326888e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-30</th>\n",
       "      <td>0.259877</td>\n",
       "      <td>0.187319</td>\n",
       "      <td>1.221305e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-31</th>\n",
       "      <td>0.228045</td>\n",
       "      <td>0.201207</td>\n",
       "      <td>1.090138e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-06-30</th>\n",
       "      <td>0.414869</td>\n",
       "      <td>0.183853</td>\n",
       "      <td>1.141502e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>0.101874</td>\n",
       "      <td>0.181023</td>\n",
       "      <td>4.569782e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-30</th>\n",
       "      <td>0.130998</td>\n",
       "      <td>0.180024</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-31</th>\n",
       "      <td>0.151090</td>\n",
       "      <td>0.178560</td>\n",
       "      <td>3.953737e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>0.111723</td>\n",
       "      <td>0.181633</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-31</th>\n",
       "      <td>0.083365</td>\n",
       "      <td>0.163190</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>258 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Food     Smoke           Fin\n",
       "Date                                        \n",
       "2000-02-29  0.285603  0.173399  1.403951e-01\n",
       "2000-03-31  0.281060  0.176609  1.326888e-01\n",
       "2000-04-30  0.259877  0.187319  1.221305e-01\n",
       "2000-05-31  0.228045  0.201207  1.090138e-01\n",
       "2000-06-30  0.414869  0.183853  1.141502e-01\n",
       "...              ...       ...           ...\n",
       "2021-03-31  0.101874  0.181023  4.569782e-17\n",
       "2021-04-30  0.130998  0.180024  0.000000e+00\n",
       "2021-05-31  0.151090  0.178560  3.953737e-17\n",
       "2021-06-30  0.111723  0.181633  0.000000e+00\n",
       "2021-07-31  0.083365  0.163190  0.000000e+00\n",
       "\n",
       "[258 rows x 3 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "style_weights[[\"Food\", \"Smoke\", \"Fin\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "47c66fc3-e785-4c92-947a-f9f638293763",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "style_weights[[\"Food\", \"Smoke\", \"Fin\"]].plot(figsize=(18, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5aedcf13-97bb-4706-a750-39eaad314454",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}