{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fixed fit parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from smpl import plot\n",
    "from smpl import io\n",
    "from smpl import functions as f\n",
    "import uncertainties.unumpy as unp\n",
    "import uncertainties as un\n",
    "import smpl\n",
    "smpl.__version__\n"
   ]
  },
  {
   "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": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "ff = plot.fit(xdata, ydata, fmt='.', label='data', xaxis=\"x in a.u.\",yaxis=\"y in a.u.\",function=f.line, b=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ff = plot.fit(xdata, ydata, fmt='.', label='data', xaxis=\"x in a.u.\",yaxis=\"y in a.u.\",function=f.line, a=un.ufloat(1,0.1),sigmas=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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