Voltage_Distribution_Visualization.ipynb

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     "text": [
      "High five! You successfully sent some data to your account on plotly. View your plot in your browser at https://plot.ly/~miracleyoo/0 or inside your plot.ly account where it is named 'elevations-3d-surface'\n"
     ]
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    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "# Read data from a csv\n",
    "z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')\n",
    "\n",
    "data = [\n",
    "    go.Surface(\n",
    "        z=z_data.as_matrix()\n",
    "    )\n",
    "]\n",
    "layout = go.Layout(\n",
    "    title='Mt Bruno Elevation',\n",
    "    autosize=False,\n",
    "    width=500,\n",
    "    height=500,\n",
    "    margin=dict(\n",
    "        l=65,\n",
    "        r=50,\n",
    "        b=65,\n",
    "        t=90\n",
    "    )\n",
    ")\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename='elevations-3d-surface')"
   ]
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   "cell_type": "code",
   "execution_count": 2,
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      "/Users/miracle/anaconda2/envs/py3/lib/python3.6/site-packages/plotly/graph_objs/_deprecations.py:477: DeprecationWarning:\n",
      "\n",
      "plotly.graph_objs.Scene is deprecated.\n",
      "Please replace it with one of the following more specific types\n",
      "  - plotly.graph_objs.Scene\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "This is the format of your plot grid:\n",
      "[ (1,1) scene1 ]  [ (1,2) scene2 ]\n",
      "[ (2,1) scene3 ]  [ (2,2) scene4 ]\n",
      "\n"
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     "execution_count": 2,
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   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from plotly import tools\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "x = np.linspace(-5, 80, 10)\n",
    "y = np.linspace(-5, 60, 10)\n",
    "xGrid, yGrid = np.meshgrid(y, x)\n",
    "z = xGrid ** 3 + yGrid ** 3\n",
    "\n",
    "scene = dict(\n",
    "    xaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    ),\n",
    "    zaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    )\n",
    ")\n",
    "\n",
    "fig = tools.make_subplots(rows=2, cols=2,\n",
    "                          specs=[[{'is_3d': True}, {'is_3d': True}],\n",
    "                                 [{'is_3d': True}, {'is_3d': True}]])\n",
    "\n",
    "# adding surfaces to subplots.\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='Viridis',\n",
    "                      scene='scene1', showscale=False), 1, 1)\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='RdBu',\n",
    "                      scene='scene2', showscale=False), 1, 2)\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='YlOrRd',\n",
    "                      scene='scene3', showscale=False), 2, 1)\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='YlGnBu',\n",
    "                      scene='scene4', showscale=False), 2, 2)\n",
    "\n",
    "fig['layout'].update(title='subplots with different colorscales',\n",
    "                     height=800, width=800)\n",
    "fig['layout']['scene1'].update(scene)\n",
    "fig['layout']['scene2'].update(scene)\n",
    "fig['layout']['scene3'].update(scene)\n",
    "fig['layout']['scene4'].update(scene)\n",
    "\n",
    "py.iplot(fig, file_name='multiple_plots')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> Load train data successfully.\n",
      "==> Load test data successfully.\n"
     ]
    }
   ],
   "source": [
    "import scipy.io\n",
    "import numpy as np\n",
    "root = './TempData/'\n",
    "DATA_PATH = [root + 'train_data.mat', root + 'test_data.mat']\n",
    "\n",
    "train_data = scipy.io.loadmat(DATA_PATH[0])\n",
    "print(\"==> Load train data successfully.\")\n",
    "\n",
    "test_data = scipy.io.loadmat(DATA_PATH[1])\n",
    "print(\"==> Load test data successfully.\")\n",
    "\n",
    "train_data = dict((key, value) for key, value in train_data.items() if key == 'X_train' or key == 'Y_train')\n",
    "test_data = dict((key, value) for key, value in test_data.items() if key == 'X_test' or key == 'Y_test')\n",
    "train_pairs = [(x, y) for x, y in zip(train_data['X_train'], train_data['Y_train'])]\n",
    "test_pairs = [(x, y) for x, y in zip(test_data['X_test'], test_data['Y_test'])]\n",
    "train_pairs.extend(test_pairs)\n",
    "Zs_real = [y for _,y in train_pairs]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41, 9)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Zs_real[1].reshape(41,9).shape"
   ]
  },
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   "cell_type": "code",
   "execution_count": 10,
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   "outputs": [
    {
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   "source": [
    "Vp_all = [0.05, 0.35, 0.85, 1.25, 1.65, 2.05, 2.35, 2.65]\n",
    "Vn_all = [0]\n",
    "a=0\n",
    "b=0\n",
    "save_prefix = 'Vp=' + str(Vp_all[a] * 100) + 'Vn=' + str(Vn_all[b] * 100) + \\\n",
    "                      'dx=' + str(dx * 1000000000.0) + 'nm'\n",
    "data = pickle.load(open('./source/simulation_res/train_data/' + save_prefix + '.pkl', 'rb'))\n",
    "pred_phi = [p[1] for p in data]\n",
    "real_phi = [p[0][2] for p in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
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      "/Users/miracle/anaconda2/envs/py3/lib/python3.6/site-packages/plotly/graph_objs/_deprecations.py:477: DeprecationWarning:\n",
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0.6395950219885468, 0.6395950219885468, 0.6395950219885468, 0.6395950219885468, 0.6395950219885468, 0.6395950219885468]], \"type\": \"surface\", \"uid\": \"e1c48c54-b227-11e8-94da-6c96cfd9fcef\"}],\n",
       "            {\"scene\": {\"domain\": {\"x\": [0.0, 0.45], \"y\": [0.0, 1.0]}, \"xaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"yaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"zaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"camera\": {\"up\": {\"x\": 0, \"y\": 0, \"z\": 1}, \"center\": {\"x\": 0, \"y\": 0, \"z\": 0}, \"eye\": {\"x\": 2, \"y\": -1.2, \"z\": 0.8}}}, \"scene2\": {\"domain\": {\"x\": [0.55, 1.0], \"y\": [0.0, 1.0]}, \"xaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"yaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"zaxis\": {\"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\", \"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230,230)\"}, \"camera\": {\"up\": {\"x\": 0, \"y\": 0, \"z\": 1}, \"center\": {\"x\": 0, \"y\": 0, \"z\": 0}, \"eye\": {\"x\": 2, \"y\": -1.2, \"z\": 0.8}}}, \"title\": \"Real & Predit Voltage Distribution Graph\", \"height\": 450, \"width\": 800},\n",
       "            {\"showLink\": true, \"linkText\": \"Export to plot.ly\"}\n",
       "        ).then(function () {return Plotly.addFrames('b80e3d2c-5c93-47c3-95fa-a501273c7d65',{});}).then(function(){Plotly.animate('b80e3d2c-5c93-47c3-95fa-a501273c7d65');})\n",
       "        });</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "# import plotly.graph_objs as go\n",
    "from plotly import tools\n",
    "# import plotly.offline as offline\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "import numpy as np\n",
    "init_notebook_mode(connected=True)\n",
    "\n",
    "index = 2222\n",
    "z = Zs_real[index].reshape(41,9)\n",
    "x = np.linspace(0, 9, 10)\n",
    "y = np.linspace(0, 40, 41)\n",
    "xGrid, yGrid = np.meshgrid(y, x)\n",
    "\n",
    "scene = dict(\n",
    "    xaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    ),\n",
    "    zaxis=dict(\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        showbackground=True,\n",
    "        backgroundcolor='rgb(230, 230,230)'\n",
    "    ),\n",
    "    camera = dict(\n",
    "        up=dict(x=0, y=0, z=1),\n",
    "        center=dict(x=0, y=0, z=0),\n",
    "        eye=dict(x=2, y=-1.2, z=0.8)\n",
    "    )\n",
    ")\n",
    "\n",
    "fig = tools.make_subplots(rows=1, cols=2,\n",
    "                          specs=[[{'is_3d': True}, {'is_3d': True}]])\n",
    "\n",
    "# adding surfaces to subplots.\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='Viridis',\n",
    "                      scene='scene1', showscale=False), 1, 1)\n",
    "fig.append_trace(dict(type='surface', x=x, y=y, z=z, colorscale='Viridis',\n",
    "                      scene='scene2', showscale=False), 1, 2)\n",
    "fig['layout'].update(title='Real & Predit Voltage Distribution Graph',\n",
    "                     height=450, width=800)\n",
    "fig['layout']['scene1'].update(scene)\n",
    "fig['layout']['scene2'].update(scene)\n",
    "\n",
    "iplot(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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