{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4ed4f5f8",
   "metadata": {},
   "source": [
    "# Experimental API: Basic tutorial\n",
    "\n",
    "This tutorial demonstrates the usage of the new `Cows` object in the submodule `experimental`. The API of this class is not finalized yet, and may change without warning from version to version. The tutorial is a copy of the basic tutorial.\n",
    "\n",
    "We will first cook up a toy model with a discriminant variable (invariant mass) and a control variable (decay time) and use it to generate some toy data.\n",
    "\n",
    "Then we will use a fit to the invariant mass to obtain some component pdf estimates and use these to extract some weights which project out the signal only component in the decay time. \n",
    "\n",
    "We will demonstrate both the classic *sWeights* and the *Custom Ortogonal Weight functions* (COWs) method. See [arXiv:2112.04575](https://arxiv.org/abs/2112.04574) for more details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7aa1bc84",
   "metadata": {},
   "outputs": [],
   "source": [
    "from types import SimpleNamespace\n",
    "from typing import Annotated\n",
    "\n",
    "# external requirements\n",
    "import numpy as np\n",
    "from scipy.stats import norm, expon\n",
    "import matplotlib.pyplot as plt\n",
    "from iminuit import Minuit\n",
    "from iminuit.cost import ExtendedUnbinnedNLL\n",
    "\n",
    "# from this package\n",
    "from sweights.experimental import Cows\n",
    "from sweights.testing import make_classic_toy # to generate a toy dataset\n",
    "from sweights.util import plot_binned, make_weighted_negative_log_likelihood, FitValidation\n",
    "from sweights.covariance import approx_cov_correct\n",
    "import resample.bootstrap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7bae46d",
   "metadata": {},
   "source": [
    "## Toy model and toy data\n",
    "\n",
    "We generate an m-distribution (for the discriminatory variable) and an independent t-distribution (the control variable). In particle physics, m is typically the invariant mass distribution of decay candidates, and t is the decay time distribution of these candidates. But any other two variables can be used, as long as they are independent in the pure signal and pure background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb61cca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a toy model\n",
    "true_yield = SimpleNamespace()\n",
    "true_yield.s = 1000\n",
    "true_yield.b = 1000\n",
    "\n",
    "# mass\n",
    "mrange = (0, 1)\n",
    "m_truth = SimpleNamespace()\n",
    "m_truth.mu = 0.5\n",
    "m_truth.sigma = 0.1\n",
    "m_truth.slope = 1\n",
    "\n",
    "# time\n",
    "trange = (0, 1.5)\n",
    "t_truth = SimpleNamespace()\n",
    "t_truth.slope = 0.2\n",
    "t_truth.mu = 0.1\n",
    "t_truth.sigma = 1.0\n",
    "\n",
    "toy = make_classic_toy(\n",
    "    1,\n",
    "    s=true_yield.s,\n",
    "    b=true_yield.b,\n",
    "    mrange=mrange,\n",
    "    trange=trange,\n",
    "    ms_mu=m_truth.mu,\n",
    "    ms_sigma=m_truth.sigma,\n",
    "    mb_mu=m_truth.slope,\n",
    "    ts_mu=t_truth.slope,\n",
    "    tb_mu=t_truth.mu,\n",
    "    tb_sigma=t_truth.sigma,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1eb58a1",
   "metadata": {},
   "source": [
    "## Make pdfs, plot ground truth and toy data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "45806a9e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# m-density for fitting and plotting (not normalized)\n",
    "def m_density(x, s, b, mu, sigma, slope):\n",
    "    ds = norm(mu, sigma)\n",
    "    snorm = np.diff(ds.cdf(mrange))\n",
    "\n",
    "    db = expon(mrange[0], slope)\n",
    "    bnorm = np.diff(db.cdf(mrange))\n",
    "\n",
    "    return s / snorm * ds.pdf(x) + b / bnorm * db.pdf(x)\n",
    "\n",
    "\n",
    "# t-density for fitting and plotting (not normalized)\n",
    "def t_density(x, s, b, slope, mu, sigma):\n",
    "\n",
    "    ds = expon(trange[0], slope)\n",
    "    snorm = np.diff(ds.cdf(trange))\n",
    "\n",
    "    db = norm(mu, sigma)\n",
    "    bnorm = np.diff(db.cdf(trange))\n",
    "\n",
    "    return s / snorm * ds.pdf(x) + b / bnorm * db.pdf(x)\n",
    "\n",
    "\n",
    "def plot(toy, bins=50, npoint=400, draw_pdf=True):\n",
    "    fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
    "\n",
    "    plt.sca(ax[0])\n",
    "    plot_binned(toy[0], bins=bins, range=mrange, color=\"k\")\n",
    "    plt.sca(ax[1])\n",
    "    plot_binned(toy[1], bins=bins, range=trange, color=\"k\")\n",
    "\n",
    "    if draw_pdf:\n",
    "        m = np.linspace(*mrange, npoint)\n",
    "        mnorm = (mrange[1] - mrange[0]) / bins\n",
    "\n",
    "        par = m_truth.mu, m_truth.sigma, m_truth.slope\n",
    "        s = m_density(m, true_yield.s, 0, *par)\n",
    "        b = m_density(m, 0, true_yield.b, *par)\n",
    "        p = s + b\n",
    "\n",
    "        ax[0].plot(m, mnorm * s, \"C0--\", label=\"signal\")\n",
    "        ax[0].plot(m, mnorm * b, \"C1:\", label=\"background\")\n",
    "        ax[0].plot(m, mnorm * p, \"k-\", label=\"total\")\n",
    "\n",
    "        t = np.linspace(*trange, npoint)\n",
    "        tnorm = (trange[1] - trange[0]) / bins\n",
    "\n",
    "        par = t_truth.slope, t_truth.mu, t_truth.sigma\n",
    "        s = t_density(t, true_yield.s, 0, *par)\n",
    "        b = t_density(t, 0, true_yield.b, *par)\n",
    "        p = s + b\n",
    "\n",
    "        ax[1].plot(t, tnorm * s, \"C0--\", label=\"signal\")\n",
    "        ax[1].plot(t, tnorm * b, \"C1:\", label=\"background\")\n",
    "        ax[1].plot(t, tnorm * p, \"k-\", label=\"total\")\n",
    "\n",
    "    ax[0].set_xlabel(\"m\")\n",
    "    ax[0].set_ylim(bottom=0)\n",
    "    ax[0].legend()\n",
    "\n",
    "    ax[1].set_xlabel(\"t\")\n",
    "    ax[1].set_ylim(bottom=0)\n",
    "    ax[1].legend()\n",
    "\n",
    "    fig.tight_layout()\n",
    "\n",
    "plot(toy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82e1ab02",
   "metadata": {},
   "source": [
    "## Fully automated computation\n",
    "\n",
    "You can compute sWeights fully automatically with the `Cows`. You only need to provide parametric models of the signal and background pdfs, and the sample in the m-variable. The `Cows` class will fit these pdfs to get their shapes and yields, and then construct the weights.\n",
    "\n",
    "To make the fit succeed you either need good starting values for the parameters, or reasonable bounds for each parameter. Otherwise, the fit will fail. Parameter bounds are specified with a dictionary. An error is emitted if the fit fails, and a warning is emitted if the goodness-of-fit test fails. Either way, it is recommended to plot the normalizing function `norm`, which is the total pdf constructed from the signal and background pdfs. It should match the data density."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b8e8aff7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th colspan=\"2\" style=\"text-align:center\" title=\"Minimizer\"> Migrad </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:left\" title=\"Minimum value of function\"> FCN = -2.696e+04 </td>\n",
       "        <td style=\"text-align:center\" title=\"Total number of function and (optional) gradient evaluations\"> Nfcn = 101 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:left\" title=\"Estimated distance to minimum and goal\"> EDM = 9.99e-05 (Goal: 0.0002) </td>\n",
       "        <td style=\"text-align:center\" title=\"Total run time of algorithms\"> time = 0.3 sec </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Valid Minimum </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Below EDM threshold (goal x 10) </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> No parameters at limit </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Below call limit </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#FFF79A;color:black\"> Hesse ok </td>\n",
       "        <td style=\"text-align:center;background-color:#FFF79A;color:black\"> Covariance APPROXIMATE </td>\n",
       "    </tr>\n",
       "</table><table>\n",
       "    <tr>\n",
       "        <td></td>\n",
       "        <th title=\"Variable name\"> Name </th>\n",
       "        <th title=\"Value of parameter\"> Value </th>\n",
       "        <th title=\"Hesse error\"> Hesse Error </th>\n",
       "        <th title=\"Minos lower error\"> Minos Error- </th>\n",
       "        <th title=\"Minos upper error\"> Minos Error+ </th>\n",
       "        <th title=\"Lower limit of the parameter\"> Limit- </th>\n",
       "        <th title=\"Upper limit of the parameter\"> Limit+ </th>\n",
       "        <th title=\"Is the parameter fixed in the fit\"> Fixed </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 0 </th>\n",
       "        <td> yield[0] </td>\n",
       "        <td> 960 </td>\n",
       "        <td> 50 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 1 </th>\n",
       "        <td> mu </td>\n",
       "        <td> 1.02e3 </td>\n",
       "        <td> 0.05e3 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 2 </th>\n",
       "        <td> sigma </td>\n",
       "        <td> 0.494 </td>\n",
       "        <td> 0.005 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td> 1 </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 3 </th>\n",
       "        <td> yield[1] </td>\n",
       "        <td> 0.097 </td>\n",
       "        <td> 0.005 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 4 </th>\n",
       "        <td> slope </td>\n",
       "        <td> 1.14 </td>\n",
       "        <td> 0.16 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
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       "    <tr>\n",
       "        <td></td>\n",
       "        <th> yield[0] </th>\n",
       "        <th> mu </th>\n",
       "        <th> sigma </th>\n",
       "        <th> yield[1] </th>\n",
       "        <th> slope </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> yield[0] </th>\n",
       "        <td> 2.18e+03 </td>\n",
       "        <td style=\"background-color:rgb(187,187,250);color:black\"> -1.1e3 <strong>(-0.486)</strong> </td>\n",
       "        <td style=\"background-color:rgb(245,245,250);color:black\"> -8.412e-3 <strong>(-0.039)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,178,178);color:black\"> 103.785e-3 <strong>(0.482)</strong> </td>\n",
       "        <td style=\"background-color:rgb(231,231,250);color:black\"> -1.102 <strong>(-0.150)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> mu </th>\n",
       "        <td style=\"background-color:rgb(187,187,250);color:black\"> -1.1e3 <strong>(-0.486)</strong> </td>\n",
       "        <td> 2.25e+03 </td>\n",
       "        <td style=\"background-color:rgb(250,236,236);color:black\"> 19.965e-3 <strong>(0.092)</strong> </td>\n",
       "        <td style=\"background-color:rgb(204,204,250);color:black\"> -77.895e-3 <strong>(-0.357)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,232,232);color:black\"> 0.898 <strong>(0.120)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> sigma </th>\n",
       "        <td style=\"background-color:rgb(245,245,250);color:black\"> -8.412e-3 <strong>(-0.039)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,236,236);color:black\"> 19.965e-3 <strong>(0.092)</strong> </td>\n",
       "        <td> 2.08e-05 </td>\n",
       "        <td style=\"background-color:rgb(246,246,250);color:black\"> -0.001e-3 <strong>(-0.032)</strong> </td>\n",
       "        <td style=\"background-color:rgb(221,221,250);color:black\"> -0.159e-3 <strong>(-0.221)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> yield[1] </th>\n",
       "        <td style=\"background-color:rgb(250,178,178);color:black\"> 103.785e-3 <strong>(0.482)</strong> </td>\n",
       "        <td style=\"background-color:rgb(204,204,250);color:black\"> -77.895e-3 <strong>(-0.357)</strong> </td>\n",
       "        <td style=\"background-color:rgb(246,246,250);color:black\"> -0.001e-3 <strong>(-0.032)</strong> </td>\n",
       "        <td> 2.12e-05 </td>\n",
       "        <td style=\"background-color:rgb(235,235,250);color:black\"> -0.082e-3 <strong>(-0.113)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> slope </th>\n",
       "        <td style=\"background-color:rgb(231,231,250);color:black\"> -1.102 <strong>(-0.150)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,232,232);color:black\"> 0.898 <strong>(0.120)</strong> </td>\n",
       "        <td style=\"background-color:rgb(221,221,250);color:black\"> -0.159e-3 <strong>(-0.221)</strong> </td>\n",
       "        <td style=\"background-color:rgb(235,235,250);color:black\"> -0.082e-3 <strong>(-0.113)</strong> </td>\n",
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       "┌─────────────────────────────────────────────────────────────────────────┐\n",
       "│                                Migrad                                   │\n",
       "├──────────────────────────────────┬──────────────────────────────────────┤\n",
       "│ FCN = -2.696e+04                 │              Nfcn = 101              │\n",
       "│ EDM = 9.99e-05 (Goal: 0.0002)    │            time = 0.3 sec            │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│          Valid Minimum           │   Below EDM threshold (goal x 10)    │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│      No parameters at limit      │           Below call limit           │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│             Hesse ok             │        Covariance APPROXIMATE        │\n",
       "└──────────────────────────────────┴──────────────────────────────────────┘\n",
       "┌───┬──────────┬───────────┬───────────┬────────────┬────────────┬─────────┬─────────┬───────┐\n",
       "│   │ Name     │   Value   │ Hesse Err │ Minos Err- │ Minos Err+ │ Limit-  │ Limit+  │ Fixed │\n",
       "├───┼──────────┼───────────┼───────────┼────────────┼────────────┼─────────┼─────────┼───────┤\n",
       "│ 0 │ yield[0] │    960    │    50     │            │            │    0    │         │       │\n",
       "│ 1 │ mu       │  1.02e3   │  0.05e3   │            │            │    0    │         │       │\n",
       "│ 2 │ sigma    │   0.494   │   0.005   │            │            │    0    │    1    │       │\n",
       "│ 3 │ yield[1] │   0.097   │   0.005   │            │            │    0    │         │       │\n",
       "│ 4 │ slope    │   1.14    │   0.16    │            │            │    0    │         │       │\n",
       "└───┴──────────┴───────────┴───────────┴────────────┴────────────┴─────────┴─────────┴───────┘\n",
       "┌──────────┬────────────────────────────────────────────────────────┐\n",
       "│          │   yield[0]         mu      sigma   yield[1]      slope │\n",
       "├──────────┼────────────────────────────────────────────────────────┤\n",
       "│ yield[0] │   2.18e+03     -1.1e3  -8.412e-3 103.785e-3     -1.102 │\n",
       "│       mu │     -1.1e3   2.25e+03  19.965e-3 -77.895e-3      0.898 │\n",
       "│    sigma │  -8.412e-3  19.965e-3   2.08e-05  -0.001e-3  -0.159e-3 │\n",
       "│ yield[1] │ 103.785e-3 -77.895e-3  -0.001e-3   2.12e-05  -0.082e-3 │\n",
       "│    slope │     -1.102      0.898  -0.159e-3  -0.082e-3     0.0249 │\n",
       "└──────────┴────────────────────────────────────────────────────────┘"
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    "# We use annotated floats to tell iminuit which is used internally by the Cows class\n",
    "# that the models have parameters with limits. This is convenient. If all parameters\n",
    "# have bounds, you may not need to provide starting values. The Cows class will guess\n",
    "# starting values based on the bounds. The slice notation is not standard, but terse\n",
    "# and understood by iminuit.\n",
    "\n",
    "def norm_par(x, mu: Annotated[float, 0:1], sigma: Annotated[float, 0:np.inf]):\n",
    "    d = norm(mu, sigma)\n",
    "    return d.pdf(x) / np.diff(d.cdf(mrange))\n",
    "\n",
    "\n",
    "def expon_par(x, slope: Annotated[float, 0:np.inf]):\n",
    "    d = expon(0, slope)\n",
    "    return d.pdf(x) / np.diff(d.cdf(mrange))\n",
    "\n",
    "\n",
    "cows0 = Cows(\n",
    "    toy[0],\n",
    "    norm_par,\n",
    "    expon_par,\n",
    "    ## visual check that normalizing function (Cows.norm) matches total density\n",
    "    validation=FitValidation.DISPLAY\n",
    "    ## You can also specify bounds like this:\n",
    "    # bounds={\n",
    "    #     norm_par: {\"mu\": (0, 1), \"sigma\": (0, np.inf)},\n",
    "    #     expon_par: {\"slope\": (0, np.inf)},\n",
    "    # },\n",
    "    ## And you pass starting values like this:\n",
    "    # starts={\n",
    "    #   norm_par: {\"mu\": 0.4, \"sigma\": 0.2},\n",
    "    #   expon_par: {\"slope\": 0.2}\n",
    "    # },\n",
    "    # yields=(1000, 1000)\n",
    ")"
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   "id": "06fb26fd",
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   "source": [
    "## Fit toy data in the m-variable\n",
    "\n",
    "If the fully automatic mode does not work for you, or if you want to have full control over the fit (for example, to accelerate it, or because you have a special case like weighted events), you should fit the shapes of the component pdfs manually.\n",
    "\n",
    "We show next how to do that with `iminuit`. We use an extended unbinned maximum-likelihood fit here, but an extended binned maximum-likelihood fit would work as well, and so would an ordinary fit instead of an extended fit. The extended fits are easier to set up, however. Note that a binned fit can be much faster.\n",
    "\n",
    "Again, you need to specify limits (bounds) to avoid stepping into parameter space where the pdf is not defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "76702af5",
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       "<table>\n",
       "    <tr>\n",
       "        <th colspan=\"2\" style=\"text-align:center\" title=\"Minimizer\"> Migrad </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:left\" title=\"Minimum value of function\"> FCN = -2.696e+04 </td>\n",
       "        <td style=\"text-align:center\" title=\"Total number of function and (optional) gradient evaluations\"> Nfcn = 75 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:left\" title=\"Estimated distance to minimum and goal\"> EDM = 3.57e-05 (Goal: 0.0002) </td>\n",
       "        <td style=\"text-align:center\" title=\"Total run time of algorithms\"> time = 0.2 sec </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Valid Minimum </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Below EDM threshold (goal x 10) </td>\n",
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       "    <tr>\n",
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       "        <td style=\"text-align:center;background-color:#FFF79A;color:black\"> Hesse ok </td>\n",
       "        <td style=\"text-align:center;background-color:#FFF79A;color:black\"> Covariance APPROXIMATE </td>\n",
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       "        <th title=\"Variable name\"> Name </th>\n",
       "        <th title=\"Value of parameter\"> Value </th>\n",
       "        <th title=\"Hesse error\"> Hesse Error </th>\n",
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       "        <th title=\"Minos upper error\"> Minos Error+ </th>\n",
       "        <th title=\"Lower limit of the parameter\"> Limit- </th>\n",
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       "        <th> 0 </th>\n",
       "        <td> s </td>\n",
       "        <td> 960 </td>\n",
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       "        <th> 1 </th>\n",
       "        <td> b </td>\n",
       "        <td> 1.02e3 </td>\n",
       "        <td> 0.05e3 </td>\n",
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       "        <td> mu </td>\n",
       "        <td> 0.494 </td>\n",
       "        <td> 0.005 </td>\n",
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       "        <td> 0.097 </td>\n",
       "        <td> 0.004 </td>\n",
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       "        <td> 0.16 </td>\n",
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       "        <th> slope </th>\n",
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       "        <td style=\"background-color:rgb(247,247,250);color:black\"> -5.500e-3 <strong>(-0.025)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,183,183);color:black\"> 90.681e-3 <strong>(0.448)</strong> </td>\n",
       "        <td style=\"background-color:rgb(230,230,250);color:black\"> -1.150 <strong>(-0.157)</strong> </td>\n",
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       "        <td> 2.15e+03 </td>\n",
       "        <td style=\"background-color:rgb(250,245,245);color:black\"> 7.385e-3 <strong>(0.034)</strong> </td>\n",
       "        <td style=\"background-color:rgb(191,191,250);color:black\"> -91.851e-3 <strong>(-0.457)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,230,230);color:black\"> 0.990 <strong>(0.136)</strong> </td>\n",
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       "        <th> mu </th>\n",
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       "        <td style=\"background-color:rgb(250,245,245);color:black\"> 7.385e-3 <strong>(0.034)</strong> </td>\n",
       "        <td> 2.19e-05 </td>\n",
       "        <td style=\"background-color:rgb(237,237,250);color:black\"> -0.002e-3 <strong>(-0.097)</strong> </td>\n",
       "        <td style=\"background-color:rgb(219,219,250);color:black\"> -0.175e-3 <strong>(-0.237)</strong> </td>\n",
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       "        <td style=\"background-color:rgb(237,237,250);color:black\"> -0.002e-3 <strong>(-0.097)</strong> </td>\n",
       "        <td> 1.88e-05 </td>\n",
       "        <td style=\"background-color:rgb(237,237,250);color:black\"> -0.069e-3 <strong>(-0.101)</strong> </td>\n",
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       "   <rect x=\"29.08774\" y=\"3.00024\" width=\"327.91202\" height=\"265.321395\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "┌─────────────────────────────────────────────────────────────────────────┐\n",
       "│                                Migrad                                   │\n",
       "├──────────────────────────────────┬──────────────────────────────────────┤\n",
       "│ FCN = -2.696e+04                 │              Nfcn = 75               │\n",
       "│ EDM = 3.57e-05 (Goal: 0.0002)    │            time = 0.2 sec            │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│          Valid Minimum           │   Below EDM threshold (goal x 10)    │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│      No parameters at limit      │           Below call limit           │\n",
       "├──────────────────────────────────┼──────────────────────────────────────┤\n",
       "│             Hesse ok             │        Covariance APPROXIMATE        │\n",
       "└──────────────────────────────────┴──────────────────────────────────────┘\n",
       "┌───┬───────┬───────────┬───────────┬────────────┬────────────┬─────────┬─────────┬───────┐\n",
       "│   │ Name  │   Value   │ Hesse Err │ Minos Err- │ Minos Err+ │ Limit-  │ Limit+  │ Fixed │\n",
       "├───┼───────┼───────────┼───────────┼────────────┼────────────┼─────────┼─────────┼───────┤\n",
       "│ 0 │ s     │    960    │    50     │            │            │    0    │         │       │\n",
       "│ 1 │ b     │  1.02e3   │  0.05e3   │            │            │    0    │         │       │\n",
       "│ 2 │ mu    │   0.494   │   0.005   │            │            │    0    │    1    │       │\n",
       "│ 3 │ sigma │   0.097   │   0.004   │            │            │    0    │         │       │\n",
       "│ 4 │ slope │   1.14    │   0.16    │            │            │    0    │         │       │\n",
       "└───┴───────┴───────────┴───────────┴────────────┴────────────┴─────────┴─────────┴───────┘\n",
       "┌───────┬────────────────────────────────────────────────────────┐\n",
       "│       │          s          b         mu      sigma      slope │\n",
       "├───────┼────────────────────────────────────────────────────────┤\n",
       "│     s │   2.18e+03     -1.2e3  -5.500e-3  90.681e-3     -1.150 │\n",
       "│     b │     -1.2e3   2.15e+03   7.385e-3 -91.851e-3      0.990 │\n",
       "│    mu │  -5.500e-3   7.385e-3   2.19e-05  -0.002e-3  -0.175e-3 │\n",
       "│ sigma │  90.681e-3 -91.851e-3  -0.002e-3   1.88e-05  -0.069e-3 │\n",
       "│ slope │     -1.150      0.990  -0.175e-3  -0.069e-3     0.0247 │\n",
       "└───────┴────────────────────────────────────────────────────────┘"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# m-model for an extended maximum-likelihood fit, must return...\n",
    "# - integral as first argument\n",
    "# - density as second argument\n",
    "# see iminuit documentation for more information\n",
    "def m_model(\n",
    "    x,\n",
    "    s: Annotated[float, 0 : np.inf],\n",
    "    b: Annotated[float, 0 : np.inf],\n",
    "    mu: Annotated[float, 0:1],\n",
    "    sigma: Annotated[float, 0 : np.inf],\n",
    "    slope: Annotated[float, 0 : np.inf],\n",
    "):\n",
    "    return (s + b, m_density(x, s, b, mu, sigma, slope))\n",
    "\n",
    "\n",
    "mi = Minuit(\n",
    "    ExtendedUnbinnedNLL(toy[0], m_model),\n",
    "    s=true_yield.s,\n",
    "    b=true_yield.b,\n",
    "    mu=m_truth.mu,\n",
    "    sigma=m_truth.sigma,\n",
    "    slope=m_truth.slope,\n",
    ")\n",
    "mi.strategy = 0\n",
    "mi.migrad()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6261600a",
   "metadata": {},
   "source": [
    "From the fit result, we create the fixed estimated pdfs of the signal and background component, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b09cc060",
   "metadata": {},
   "outputs": [],
   "source": [
    "def spdf(m):\n",
    "    return norm_par(m, *mi.values[\"mu\", \"sigma\"])\n",
    "\n",
    "\n",
    "def bpdf(m):\n",
    "    return expon_par(m, mi.values[\"slope\"])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db8c3132",
   "metadata": {},
   "source": [
    "In the COWs computation, component pdfs are divided by the normalizing function $I(m)$. This function is arbitrary, but there is an optimal choice, which minimizes the variance of the weights. In case of factorizing signal and background PDFs, the optimal choice is $I(m) \\propto g(m)$, where $g(m)$ is the estimated total density of in the discriminant variable m.  This choice together with the summation method to compute the W matrix gives classic sWeights. A solution close to optimal is to replace $g(m)$ with a histogram, with the advantage that $g(m)$ does not have to be explicitly constructed.\n",
    "\n",
    "`Cows` class accepts a great variety of inputs and tries to use the best computation method given the inputs. For example, the summation method can only be used if the sample in the m-variable is passed as input. Otherwise, the integration method is used. The normalizing function $I(m)$ can be computed by the `Cows` class as before, explicitly provided as a function or histogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e384cc6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/tl/pv6mt7z17tz0stm1fjfg01cc0000gn/T/ipykernel_89638/1764964862.py:15: CowsWarning: providing a sample and an external function with norm disables summation, override this with summation=True\n",
      "  cows1 = Cows(toy[0], spdf, bpdf, norm_unit)\n"
     ]
    }
   ],
   "source": [
    "# unity (not optimal, but simple):\n",
    "def norm_unit(x):\n",
    "    return np.ones_like(x) / (mrange[1] - mrange[0])\n",
    "\n",
    "\n",
    "# classic sWeights:\n",
    "def norm_opt(m):\n",
    "    return m_density(m, *mi.values) / (mi.values[\"s\"] + mi.values[\"b\"])\n",
    "\n",
    "\n",
    "# histogram:\n",
    "norm_hist = np.histogram(toy[0], bins=20, range=mrange)\n",
    "\n",
    "# cows1 and 2 use the unit normalization function\n",
    "cows1 = Cows(toy[0], spdf, bpdf, norm_unit)\n",
    "cows2 = Cows(None, spdf, bpdf, norm_unit, range=mrange)\n",
    "# cows3 is equivalent to classic sWeights\n",
    "cows3 = Cows(toy[0], spdf, bpdf, norm_opt, summation=True)\n",
    "# cows 4 and 5 use a histogram\n",
    "cows4 = Cows(toy[0], spdf, bpdf, norm_hist)\n",
    "cows5 = Cows(None, spdf, bpdf, norm_hist)\n",
    "# cows6 is again equivalent to classic sWeights, norm_opt is computed internally\n",
    "cows6 = Cows(toy[0], spdf, bpdf)\n",
    "# cows7 is equivalent to classic sWeights, norm_opt is computed from provided yields\n",
    "cows7 = Cows(toy[0], spdf, bpdf, yields=mi.values[\"s\", \"b\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0aa6b587",
   "metadata": {},
   "source": [
    "The warning is emitted in the computation of `cows1`, because the preferred summation method requires that the normalizing function $I(m)$ is an estimate of the total density in $m$. If you provide the normalization function manually, that cannot be ensured and the code chooses the integration method instead. You can override this automatic choice with `summation=True` or `summation=False`. Such an override is used in the computation of `cows3`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85b6c197",
   "metadata": {},
   "source": [
    "## Comparison of COWs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bbb12e0",
   "metadata": {},
   "source": [
    "We first compare the weight distributions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2d8eff72",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, weighter in enumerate([cows0, cows1, cows2, cows3, cows4, cows5, cows6, cows7]):\n",
    "    # x = np.linspace(*mrange, 400)\n",
    "    x = np.sort(toy[0])\n",
    "    swp = weighter[0](x)\n",
    "    bwp = weighter[1](x)\n",
    "\n",
    "    plt.figure()\n",
    "    plt.plot(x, swp, \"C0--\", label=\"signal\")\n",
    "    plt.plot(x, bwp, \"C1:\", label=\"background\")\n",
    "    plt.plot(x, swp + bwp, \"k-\", label=\"sum\")\n",
    "    plt.xlabel(\"mass\")\n",
    "    plt.ylabel(\"weight\")\n",
    "    plt.legend(title=(\n",
    "        f\"cows{i}\\n\"\n",
    "        f\"sum(ws) = {np.nansum(swp):.1f}\\n\"\n",
    "        f\"var(ws)={np.nanvar(swp):.2f}\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8f99dcd",
   "metadata": {},
   "source": [
    "The variance of the weights should be as small as possible. Ignoring the small variations in the second digit, we find that the variances for all variants are equivalent, except when the unity normalizing function is used, which performs worse. Only the classic sWeights technique guarantees self-consistency: the sum of the signal weights sums up to the fitted signal yield in the m-distribution. If you are only interested in the shape of the signal in the t-variable and not in the number density, then you can ignore this property."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9216755",
   "metadata": {},
   "source": [
    "All variants extract the signal in the control variable well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "74f6cd8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = 50\n",
    "t = np.linspace(*trange, 400)\n",
    "\n",
    "for i, weighter in enumerate([cows0, cows1, cows2, cows3, cows4, cows5, cows6, cows7]):\n",
    "    w = weighter(toy[0])\n",
    "    color = f\"C{i}\"\n",
    "    plot_binned(\n",
    "        toy[1],\n",
    "        bins=bins,\n",
    "        range=trange,\n",
    "        weights=weighter(toy[0]),\n",
    "        label=f\"cows{i}\",\n",
    "        color=color,\n",
    "    )\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel(\"time\")\n",
    "plt.ylabel(\"weighted events\")\n",
    "plt.semilogy();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06e7b493",
   "metadata": {},
   "source": [
    "The weights computed with all methods are rather similar. All expect `cows1` and `cows2` achieve minimum variance and are optimal.\n",
    "\n",
    "Apart from plotting, you probably want to fit this distribution. There are some details that need to be considered. We will show that next."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1997838",
   "metadata": {},
   "source": [
    "### Fit weighted t-distribution\n",
    "\n",
    "We proceed only with the weights from `cows0`, since the procedure is always the same."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e66faf4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# signal pdf in t-domain that we want to fit,\n",
    "# the annotation tells iminuit that this parameter has limits 0,10\n",
    "def t_signal_pdf(x, slope: Annotated[float, 0:10]):\n",
    "    return t_density(x, 1, 0, slope, 0, 1)\n",
    "\n",
    "\n",
    "# sweights to extract signal\n",
    "w = cows0(toy[0])\n",
    "\n",
    "# do the minimisation\n",
    "tmi = Minuit(\n",
    "    make_weighted_negative_log_likelihood(toy[1], w, t_signal_pdf),\n",
    "    slope=0.1,\n",
    ")\n",
    "tmi.migrad()\n",
    "# this won't give the correct error, because a weighted likelihood\n",
    "# is not a real likelihood\n",
    "tmi.hesse()\n",
    "assert tmi.valid\n",
    "\n",
    "# approximate correction takes weights into account, but\n",
    "# neglects uncertainties in the COWs, which are also estimated\n",
    "acov = approx_cov_correct(\n",
    "    t_signal_pdf, toy[1], w, tmi.values, tmi.covariance, verbose=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e6878d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# To apply the bootstrap, we have to put the whole analysis into\n",
    "# a function which takes the input sample and returns the final result\n",
    "def fit(m, t):\n",
    "    # we need to re-fit the signal and background pdfs each time\n",
    "    cows = Cows(\n",
    "        m,\n",
    "        norm_par,\n",
    "        expon_par,\n",
    "        # it is okay to use the nominal results as starting values\n",
    "        starts={\n",
    "            norm_par: {\"mu\": mi.values[\"mu\"], \"sigma\": mi.values[\"sigma\"]},\n",
    "            expon_par: {\"slope\": mi.values[\"slope\"]},\n",
    "        },\n",
    "        # bootstrap fits tend to be slightly bad here, we skip validation\n",
    "        # to avoid printing too many warnings and also to speed up\n",
    "        validation=FitValidation.NONE\n",
    "    )\n",
    "\n",
    "    w = cows(m)\n",
    "\n",
    "    # we fit the weighted t distribution\n",
    "    tmi = Minuit(\n",
    "        make_weighted_negative_log_likelihood(t, w, t_signal_pdf),\n",
    "        slope=0.1,\n",
    "    )\n",
    "    tmi.migrad()\n",
    "    return tmi.values[\"slope\"]\n",
    "\n",
    "# This takes a couple of seconds since the whole analysis is repeated 50 times.\n",
    "# You should always use method=\"extended\" in high energy physics, because\n",
    "# the sample size in our experiments is a Poisson-distributed random number.\n",
    "slope_var = resample.bootstrap.variance(\n",
    "    fit, toy[0], toy[1], method=\"extended\", size=50, random_state=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "aeffb52b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "naive           0.202 +/- 0.007\n",
      "approx. correct 0.202 +/- 0.017\n",
      "bootstrap       0.202 +/- 0.017\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"naive           {tmi.values[0]:.3f} +/- {tmi.errors[0]:.3f}\\n\"\n",
    "    f\"approx. correct {tmi.values[0]:.3f} +/- {acov[0,0]**0.5:.3f}\\n\"\n",
    "    f\"bootstrap       {tmi.values[0]:.3f} +/- {slope_var**0.5:.3f}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f77176a5",
   "metadata": {},
   "source": [
    "The naive result is much too small and never correct, don't use it. In this case, approximately correct covariance is nearly identical to the full bootstrap variance, but that is not always the case."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5093b84",
   "metadata": {},
   "source": [
    "## Write sWeights into a file\n",
    "\n",
    "There are many ways to store the sweights for later use. In the Python world, you can just pickle the arrays. Or you can use Numpy's npz format. A slightly more organized way is to use a Pandas data frame. We show that option."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "21f95f49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>m</th>\n",
       "      <th>t</th>\n",
       "      <th>sweight_ws</th>\n",
       "      <th>sweight_wb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.927542</td>\n",
       "      <td>0.075108</td>\n",
       "      <td>-0.678789</td>\n",
       "      <td>1.678981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.468974</td>\n",
       "      <td>0.005580</td>\n",
       "      <td>1.217351</td>\n",
       "      <td>-0.217471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.449125</td>\n",
       "      <td>0.152979</td>\n",
       "      <td>1.180218</td>\n",
       "      <td>-0.180333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.558792</td>\n",
       "      <td>0.079876</td>\n",
       "      <td>1.171350</td>\n",
       "      <td>-0.171463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.400035</td>\n",
       "      <td>0.028505</td>\n",
       "      <td>0.992116</td>\n",
       "      <td>0.007800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1978</th>\n",
       "      <td>0.930051</td>\n",
       "      <td>1.093816</td>\n",
       "      <td>-0.678855</td>\n",
       "      <td>1.679047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1979</th>\n",
       "      <td>0.653689</td>\n",
       "      <td>0.081157</td>\n",
       "      <td>0.617723</td>\n",
       "      <td>0.382255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>0.382352</td>\n",
       "      <td>0.095900</td>\n",
       "      <td>0.881909</td>\n",
       "      <td>0.118025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981</th>\n",
       "      <td>0.564565</td>\n",
       "      <td>1.170659</td>\n",
       "      <td>1.155715</td>\n",
       "      <td>-0.155826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982</th>\n",
       "      <td>0.718651</td>\n",
       "      <td>0.169675</td>\n",
       "      <td>-0.086453</td>\n",
       "      <td>1.086548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1983 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             m         t  sweight_ws  sweight_wb\n",
       "0     0.927542  0.075108   -0.678789    1.678981\n",
       "1     0.468974  0.005580    1.217351   -0.217471\n",
       "2     0.449125  0.152979    1.180218   -0.180333\n",
       "3     0.558792  0.079876    1.171350   -0.171463\n",
       "4     0.400035  0.028505    0.992116    0.007800\n",
       "...        ...       ...         ...         ...\n",
       "1978  0.930051  1.093816   -0.678855    1.679047\n",
       "1979  0.653689  0.081157    0.617723    0.382255\n",
       "1980  0.382352  0.095900    0.881909    0.118025\n",
       "1981  0.564565  1.170659    1.155715   -0.155826\n",
       "1982  0.718651  0.169675   -0.086453    1.086548\n",
       "\n",
       "[1983 rows x 4 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame()\n",
    "df['m'] = toy[0]\n",
    "df['t'] = toy[1]\n",
    "df['sweight_ws'] = cows0[\"s\"](toy[0])\n",
    "df['sweight_wb'] = cows0[\"b\"](toy[0])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbe56ab5",
   "metadata": {},
   "source": [
    "Pandas data frames can be saved in multiple formats (see Pandas documentation). The feather format is particularly good.\n",
    "\n",
    "However, in the particle physics world, you probably want to save the table as a ROOT file. This is easy with uproot. It will convert the data frame into a ROOT TTree automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d297de39",
   "metadata": {},
   "outputs": [],
   "source": [
    "import uproot\n",
    "\n",
    "with uproot.recreate('outf.root') as f:\n",
    "   f['tree'] = df"
   ]
  }
 ],
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