{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "67b48c21-1fc3-4be7-ae4b-e4c2a75aaaf7",
   "metadata": {},
   "source": [
    "# Quickstart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1dbe5778-ec37-4e3c-8f57-085dcf6051c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Thu Sep 15 2022\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.9.7\n",
      "IPython version      : 8.0.1\n",
      "\n",
      "graphviz: not installed\n",
      "\n",
      "statsmodels : 0.13.2\n",
      "myforestplot: 0.2.1\n",
      "numpy       : 1.21.5\n",
      "pandas      : 1.4.1\n",
      "matplotlib  : 3.5.1\n",
      "\n",
      "Watermark: 2.3.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from typing import Union, Optional, List, Dict, Tuple, Any\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "\n",
    "import myforestplot as mfp\n",
    "\n",
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p graphviz"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6f1f90f-416e-478c-a7ce-9063e4bc9c18",
   "metadata": {},
   "source": [
    "## Create pretty statsmodels result dataframe\n",
    "titanic data can be downloaded from https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2981f7f3-d1aa-4aac-8e79-9136deae5f3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic = pd.read_csv(\"titanic.csv\")\n",
    "titanic = titanic[[\"survived\", \"pclass\", \"sex\", \"age\", \"embark_town\"]]\n",
    "titanic = titanic.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1a30bcab-4850-4838-a76a-3dc433259b22",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.509889\n",
      "         Iterations 6\n"
     ]
    }
   ],
   "source": [
    "res = smf.logit(\"survived ~ sex + age + embark_town\", data=titanic).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8e810fe5-876c-46e6-8a18-abcdcab1c78d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Logit Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>survived</td>     <th>  No. Observations:  </th>  <td>   712</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                 <td>Logit</td>      <th>  Df Residuals:      </th>  <td>   707</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                 <td>MLE</td>       <th>  Df Model:          </th>  <td>     4</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Thu, 15 Sep 2022</td> <th>  Pseudo R-squ.:     </th>  <td>0.2444</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>11:43:28</td>     <th>  Log-Likelihood:    </th> <td> -363.04</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -480.45</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>  LLR p-value:       </th> <td>1.209e-49</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "               <td></td>                 <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>                  <td>    2.2046</td> <td>    0.322</td> <td>    6.851</td> <td> 0.000</td> <td>    1.574</td> <td>    2.835</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>sex[T.male]</th>                <td>   -2.4760</td> <td>    0.191</td> <td>  -12.976</td> <td> 0.000</td> <td>   -2.850</td> <td>   -2.102</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>embark_town[T.Queenstown]</th>  <td>   -1.8156</td> <td>    0.535</td> <td>   -3.393</td> <td> 0.001</td> <td>   -2.864</td> <td>   -0.767</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>embark_town[T.Southampton]</th> <td>   -1.0069</td> <td>    0.237</td> <td>   -4.251</td> <td> 0.000</td> <td>   -1.471</td> <td>   -0.543</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>age</th>                        <td>   -0.0081</td> <td>    0.007</td> <td>   -1.233</td> <td> 0.217</td> <td>   -0.021</td> <td>    0.005</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                           Logit Regression Results                           \n",
       "==============================================================================\n",
       "Dep. Variable:               survived   No. Observations:                  712\n",
       "Model:                          Logit   Df Residuals:                      707\n",
       "Method:                           MLE   Df Model:                            4\n",
       "Date:                Thu, 15 Sep 2022   Pseudo R-squ.:                  0.2444\n",
       "Time:                        11:43:28   Log-Likelihood:                -363.04\n",
       "converged:                       True   LL-Null:                       -480.45\n",
       "Covariance Type:            nonrobust   LLR p-value:                 1.209e-49\n",
       "==============================================================================================\n",
       "                                 coef    std err          z      P>|z|      [0.025      0.975]\n",
       "----------------------------------------------------------------------------------------------\n",
       "Intercept                      2.2046      0.322      6.851      0.000       1.574       2.835\n",
       "sex[T.male]                   -2.4760      0.191    -12.976      0.000      -2.850      -2.102\n",
       "embark_town[T.Queenstown]     -1.8156      0.535     -3.393      0.001      -2.864      -0.767\n",
       "embark_town[T.Southampton]    -1.0069      0.237     -4.251      0.000      -1.471      -0.543\n",
       "age                           -0.0081      0.007     -1.233      0.217      -0.021       0.005\n",
       "==============================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b86ef38-48f5-46a9-bf06-2d309664e307",
   "metadata": {},
   "source": [
    "After fitting, clean dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e1b9768c-b9b2-45dc-b6bb-2560a1c6bb8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "order = [\"age\", \"sex\", \"embark_town\"]\n",
    "cont_cols = [\"age\"]\n",
    "categorical = {\"embark_town\": ['Southampton', 'Cherbourg', 'Queenstown']}\n",
    "df_sum = mfp.statsmodels_pretty_result_dataframe(titanic, res, \n",
    "                                                 order=order, \n",
    "                                                 cont_cols=cont_cols, \n",
    "                                                 fml=\".3f\", \n",
    "                                                 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9c7e735b-c6bc-4108-af19-616df53c3391",
   "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>category</th>\n",
       "      <th>item</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>risk</th>\n",
       "      <th>nobs</th>\n",
       "      <th>risk_pretty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>age</td>\n",
       "      <td>age</td>\n",
       "      <td>0.979300</td>\n",
       "      <td>1.004771</td>\n",
       "      <td>0.991954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.99 (0.98, 1.00)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sex</td>\n",
       "      <td>male</td>\n",
       "      <td>0.057848</td>\n",
       "      <td>0.122213</td>\n",
       "      <td>0.084082</td>\n",
       "      <td>453.0</td>\n",
       "      <td>0.08 (0.06, 0.12)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>sex</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259.0</td>\n",
       "      <td>Ref.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Queenstown</td>\n",
       "      <td>0.057027</td>\n",
       "      <td>0.464428</td>\n",
       "      <td>0.162742</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.16 (0.06, 0.46)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>0.229654</td>\n",
       "      <td>0.581167</td>\n",
       "      <td>0.365332</td>\n",
       "      <td>554.0</td>\n",
       "      <td>0.37 (0.23, 0.58)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Ref.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      category         item         0         1      risk   nobs  \\\n",
       "3          age          age  0.979300  1.004771  0.991954    NaN   \n",
       "0          sex         male  0.057848  0.122213  0.084082  453.0   \n",
       "4          sex       female       NaN       NaN       NaN  259.0   \n",
       "1  embark_town   Queenstown  0.057027  0.464428  0.162742   28.0   \n",
       "2  embark_town  Southampton  0.229654  0.581167  0.365332  554.0   \n",
       "5  embark_town    Cherbourg       NaN       NaN       NaN  130.0   \n",
       "\n",
       "         risk_pretty  \n",
       "3  0.99 (0.98, 1.00)  \n",
       "0  0.08 (0.06, 0.12)  \n",
       "4               Ref.  \n",
       "1  0.16 (0.06, 0.46)  \n",
       "2  0.37 (0.23, 0.58)  \n",
       "5               Ref.  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d72e1ffb-7581-4aca-9687-73edbdd3bbdc",
   "metadata": {},
   "source": [
    "The above type of dataframe structure is required. If you prepare dataframe like above, you do not need to use \"mfp.statsmodels_pretty_result_dataframe\"."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d99ccfe-7e7a-495b-a3ca-a9eef3ec7002",
   "metadata": {},
   "source": [
    "## Create a forest plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "213764ad-ff5e-4319-bd12-c80c151a22bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_sum.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de3c113a-cb84-47fc-b97e-d4a39c4298d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"nobs\"] = (df[\"nobs\"]\n",
    "              .replace(np.nan, titanic.shape[0])\n",
    "              .astype(int)\n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eda4d8d9-79eb-403a-ac87-293bed4b5a7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1050x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(7,3), df=df)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.15, 1])\n",
    "fp.embed_strings(\"category\", 0.1, header=\"Category\", \n",
    "                 duplicate_hide=True, \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\")\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fba8d85b-257c-4ca1-8acd-ffd5dfef1b9b",
   "metadata": {},
   "source": [
    "If vertical_align=True, category values can be aligned \n",
    "just above item values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5622ce6d-aa38-4e11-a300-f893c9decc99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(5,3), \n",
    "                        df=df, vertical_align=True)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.35, 1])\n",
    "fp.embed_cate_strings(\"category\", 0.30, header=\"Category\", \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cd2a0d3-dd93-49b6-bf23-40b7b733f181",
   "metadata": {},
   "source": [
    "\"All participants\" row can be manually set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dbf1cc59-fdae-41e1-9582-e0f6974003f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(5,3),\n",
    "                        df=df, vertical_align=True)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.35, 1])\n",
    "y_header=1.7\n",
    "fp.embed_cate_strings(\"category\", 0.30, header=\"Category\", \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 y_header=y_header\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"All participants\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\", y_header=y_header)\n",
    "fp.ax1.text(0.60, 0.8, \"712\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\", y_header=y_header)\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d0ecc08-2049-4895-a784-f9d2ede35e05",
   "metadata": {},
   "source": [
    "## Customize your forestplot\n",
    "SimpleForestPlot is a simplized version of forestplot with one text and figure field. ForestPlot can customize multiple text and figure fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "169dc6d0-a47e-4d6a-bcb5-0ed312ab5eb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.ForestPlot(df=df, \n",
    "                    ratio=[5,5,3], \n",
    "                    fig_ax_index=[2],  \n",
    "                    dpi=150, \n",
    "                    figsize=(6,3), \n",
    "                    yticks_show=False,\n",
    "                    vertical_align=True)\n",
    "fp.errorbar(index=2, errorbar_kwds=None)\n",
    "fp.axd[2].set_xlim([0, 1.5])\n",
    "fp.axd[2].set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.axd[2].set_xlabel(\"OR\")\n",
    "fp.axd[2].axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.axd[1].set_xlim([0.50, 1])\n",
    "fp.embed_cate_strings(1, \"category\", 0.5, header=\"Category\",\n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 )\n",
    "fp.embed_strings(1, \"item\", 0.55, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(1, \"nobs\", 0.86, header=\"N\")\n",
    "fp.embed_strings(3, \"risk_pretty\", 0.1, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "688168c1-7b31-4ff5-8619-6a9b663734e8",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "You can see various patterns of forestplot in [Gallery page](https://toshiakiasakura.github.io/myforestplot/notebooks/2_gallery.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4d74049-cab3-468b-ab07-0bdd0b5baa64",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
