xschem/vco_2-4GHz/doc/.ipynb_checkpoints/Transfer Function-checkpoint.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2.4 GHz VCO Transfer Function\n",
    "Plot the transfer function of the VCO over different corners and temperatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from IPython.display import display, Markdown\n",
    "import SpiceInterface\n",
    "import h5py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read in the results file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5.88235294e+09 5.88235294e+09 5.88235294e+09 5.26315789e+09\n",
      " 5.26315789e+09 5.00000000e+09 5.00000000e+09 4.98449179e+09\n",
      " 4.57174073e+09 5.25427244e+09 4.31128989e+09 4.04942136e+09\n",
      " 4.11495216e+09 3.57142857e+09 2.92397661e+09 2.90729831e+09\n",
      " 2.30414747e+09 1.85185185e+09 1.61290323e+09 1.44927536e+09\n",
      " 1.31578947e+09 1.19047619e+09 1.09890110e+09 1.05263158e+09\n",
      " 1.03092784e+09 1.02040816e+09 1.03092784e+09 1.02040816e+09\n",
      " 1.02040816e+09 1.03092784e+09 1.02040816e+09 1.02040816e+09]\n"
     ]
    }
   ],
   "source": [
    "filename = '../tests/vco_2-4GHz_corners.hdf5'\n",
    "with h5py.File(filename, 'r') as file:\n",
    "\n",
    "    # grab the data keys\n",
    "    group_list = list(file.keys())\n",
    "    \n",
    "    # get the indexing data\n",
    "    indexing = {}\n",
    "    for key in list(file['indexing']):\n",
    "        indexing[key] = list(file['indexing'][key])\n",
    "        \n",
    "        \n",
    "        \n",
    "    # get the simulation data\n",
    "    data = list(file['data'])    \n",
    "    print(data[0][0][0])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the transfer function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'vdd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-32a5b334c682>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mvctl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvdd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvctl_num\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'vdd' is not defined"
     ]
    }
   ],
   "source": [
    "vctl = np.linspace(0, 1.8, 32)\n",
    "\n",
    "for i in range(len(data)):\n",
    "    for j in range(len(data[0])):\n",
    "        for k in range(len(data[0][0])):\n",
    "            \n",
    "            plt.plot(vctl, data[i][j][k], 'b', alpha=0.5)\n",
    "\n",
    "plt.show()"
   ]
  }
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