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   "source": [
    "This is a notebook to plot waveform genreated by \"h_m16_L0.18_l2m2_r300.dat\". Data file is a json format. "
   ]
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  {
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   "metadata": {},
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   "source": [
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    "import matplotlib.pyplot as plt"
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   "execution_count": 2,
   "metadata": {},
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      "/home/changfeng/.local/lib/python3.6/site-packages/ipykernel_launcher.py:15: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
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   "source": [
    "#load all waveform files first.\n",
    "for i in range(0,99):\n",
    "    with open(f'{i}.json','r') as f:\n",
    "        waveform = json.load(f)\n",
    "        \n",
    "        #extract time series at V1,L1,and H1 from waveform file.\n",
    "        data_V1 = waveform['data']['V1']\n",
    "        data_L1 = waveform['data']['L1']\n",
    "        data_H1 = waveform['data']['H1']\n",
    "        times_V1 = waveform['times']['V1']\n",
    "        times_L1 = waveform['times']['L1']\n",
    "        times_H1 = waveform['times']['H1']\n",
    "        \n",
    "        #plot the waveform at V1,L1,and H1\n",
    "        fig=plt.figure()\n",
    "        plt.title('0')\n",
    "        plt.subplot(221)\n",
    "        plt.title('V1')\n",
    "        plt.xlabel('time')\n",
    "        plt.ylabel('waveform')\n",
    "        plt.plot(times_V1,data_V1)\n",
    "        plt.subplot(222)\n",
    "        plt.title('L1')\n",
    "        plt.xlabel('time')\n",
    "        plt.ylabel('waveform')\n",
    "        plt.plot(times_L1,data_L1)\n",
    "        plt.subplot(223)\n",
    "        plt.title('H1')\n",
    "        plt.xlabel('time')\n",
    "        plt.ylabel('waveform')\n",
    "        plt.plot(times_H1,data_H1)\n",
    "        fig.tight_layout(h_pad=0.4)\n",
    "        \n",
    "        #save figures\n",
    "        plt.savefig(f'{i}',dpi=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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