{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3a57a1ff",
   "metadata": {},
   "source": [
    "library: \n",
    "    https://www.statsmodels.org/stable/generated/statsmodels.multivariate.pca.PCA.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9bd6bf87",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from statsmodels.multivariate.pca import PCA\n",
    "df=pd.read_csv('Pizza.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a787925",
   "metadata": {},
   "outputs": [],
   "source": [
    "col_names=df.columns\n",
    "df1=df[col_names[2:len(col_names)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00e063c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "pcaModel = PCA(df1, standardize=True, method='eig', ncomp=4)\n",
    "pcaModel.loadings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab58d9a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#comp01 - magro\n",
    "#comp02 - molhada\n",
    "#comp03 - salgada\n",
    "#comp04 - queimada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d2feb4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pcaModel.scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be38aea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "pcaModel = PCA(df1, standardize=True, method='eig')\n",
    "eigen_values = pd.DataFrame(data=pcaModel.eigenvals.values, columns=['eigenvalue'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3678544",
   "metadata": {},
   "outputs": [],
   "source": [
    "eigen_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f02af4f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pcaModel.rsquare.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "121784c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame(data=pcaModel.rsquare.values, columns=['cumul_var_exp']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36d325bf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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