tri_verts_graph-Copy1.ipynb

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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import matplotlib.ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for namef in ['arma','bunny','dragon','happy','lucy']:\n",
    "    print(namef)\n",
    "    df = pd.read_csv(\"{}.log\".format(namef),names=['k','init','model','l','i'])\n",
    "    mdf = df.groupby(['init','model','k']).mean()\n",
    "    sdf = df.groupby(['init','model','k']).std()\n",
    "    print(mdf[\"l\"][2])#(mdf['l'][3]-mdf['l'][2])/sdf['l'][2]\n",
    "    print(mdf[\"l\"][3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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