{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\ndoc_model_loadmodel.py\n======================\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>This example *does* actually work, but running from within  sphinx-gallery fails to find symbols saved in the save file.</p></div>\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "##\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n##\n# <examples/doc_model_loadmodel.py>\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom lmfit.model import load_model\n\n\ndef mysine(x, amp, freq, shift):\n    return amp * np.sin(x*freq + shift)\n\n\ndata = np.loadtxt('sinedata.dat')\nx = data[:, 0]\ny = data[:, 1]\n\nmodel = load_model('sinemodel.sav', funcdefs={'mysine': mysine})\nparams = model.make_params(amp=3, freq=0.52, shift=0)\nparams['shift'].max = 1\nparams['shift'].min = -1\nparams['amp'].min = 0.0\n\nresult = model.fit(y, params, x=x)\nprint(result.fit_report())\n\nplt.plot(x, y, 'bo')\nplt.plot(x, result.best_fit, 'r-')\nplt.show()\n# <end examples/doc_model_loadmodel.py>"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.7.6"
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  },
  "nbformat": 4,
  "nbformat_minor": 0
}