{
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "source": [
    "#%matplotlib qt\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "#plt.rcParams[\"figure.figsize\"] = [12,12]\n",
    "import numpy as np\n",
    "import pandas as pds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def try_plot(df,ax,left,right):\n",
    "    try:\n",
    "        df[(df.index >= left) & (df.index <= right)].plot(ax=ax,subplots=True,legend=False)\n",
    "    except:\n",
    "        pass\n",
    "    \n",
    "def make_plots(path=\"./\",left=50e-3,right=100e-3):\n",
    "    inputSig = pds.read_csv(path+\"/input.txt\",delim_whitespace=True,header=None,names=[\"BIAS1\",\"BIAS2\",\"BIAS3\",\"BIAS4\",\"BIAS5\",\"B1\",\"B2\",\"B3\"])\n",
    "    inputSig.index.name=\"TSTAMP\"\n",
    "    inputSig.index*=1./98304.\n",
    "    fXSig=[]\n",
    "    G=[0.89,0.87,0.89]\n",
    "    [fXSig.append(pds.read_csv(\n",
    "                path+\"./output_f{0}.txt\".format(F),index_col=0,delim_whitespace=True,header=None,\n",
    "                names=[\"TSTAMP\",\"BIAS1\",\"BIAS4\",\"BIAS5\",\"B1\",\"B2\",\"B3\"])) for F in range(3) ]\n",
    "    for F in range(3):\n",
    "        if len(fXSig[F].index):\n",
    "            fXSig[F].index*=1e-9\n",
    "            fXSig[F]/=G[F]\n",
    "    axes=inputSig[(inputSig.index >= left) & (inputSig.index <= right)].filter([\"BIAS1\",\"BIAS4\",\"BIAS5\",\"B1\",\"B2\",\"B3\"]).plot(subplots=True,layout=(3,2)) \n",
    "    [ try_plot(df,axes,left,right) for df in fXSig ]\n",
    "    return inputSig,fXSig\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "inputSig,fXSig=make_plots(left=0)"
   ]
  }
 ],
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