{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Residue Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from smpl import plot\n",
    "from smpl import io\n",
    "from smpl import functions as f\n",
    "import numpy as np\n",
    "import uncertainties.unumpy as unp\n",
    "import matplotlib.pyplot as plt\n",
    "import smpl\n",
    "smpl.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dat = np.loadtxt(io.find_file(\"dat.dat\",3), skiprows=0, delimiter=\" \")\n",
    "\n",
    "\n",
    "xdata = dat[:,0]\n",
    "ydata = dat[:,1]\n",
    "ymodel = dat[:,-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.data(xdata,ydata,logy=True,ss=False)\n",
    "plot.data(xdata,ymodel,fmt=\"-\",logy=True,init=False,label=\"model\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "data = np.loadtxt(io.find_file('test_linear_data.txt',3))\n",
    "xdata = data[:,0]\n",
    "xerr = data[:,2]\n",
    "ydata = data[:,1]\n",
    "yerr = data[:,3]\n",
    "x = unp.uarray(xdata,xerr)\n",
    "y = unp.uarray(ydata,yerr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "plot.fit(x,y,function=f.line,residue=True,xaxis=\"t\",yaxis=\"s\",units=[\"l\",\"b\"],sigmas=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.fit(x,y,function=f.line,residue=True,xaxis=\"t\",yaxis=\"s\",units=[\"l\",\"b\"],sigmas=1,residue_err=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}