grid_search_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorboard.backend.event_processing import event_accumulator      \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from glob import glob\n",
    "import sys\n",
    "import tensorboard.plugins.hparams as hparams\n",
    "from tensorboard.plugins.hparams import plugin_data_pb2\n",
    "import tqdm\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "interesting_keys = ['episode_reward_mean', 'episodes_total']\n",
    "\n",
    "def create_df(inpath):\n",
    "    sg = {event_accumulator.COMPRESSED_HISTOGRAMS: 1,\n",
    "          event_accumulator.IMAGES: 1,\n",
    "          event_accumulator.AUDIO: 1,\n",
    "          event_accumulator.SCALARS: 0,\n",
    "          event_accumulator.HISTOGRAMS: 1}\n",
    "    ea = event_accumulator.EventAccumulator(inpath, size_guidance=sg)\n",
    "    ea.Reload()\n",
    "    scalar_tags = ea.Tags()['scalars']\n",
    "    df = pd.DataFrame()\n",
    "    for tag in interesting_keys:\n",
    "        fultag = 'ray/tune/' + tag\n",
    "        events = ea.Scalars(fultag)\n",
    "        scalars = np.array([x.value for x in events])\n",
    "        df.loc[:, tag] = scalars\n",
    "    raw_data = ea.PluginTagToContent(\"hparams\")\n",
    "    plugin_data = plugin_data_pb2.HParamsPluginData.FromString(raw_data['_hparams_/session_start_info'])\n",
    "    a = {key: val.number_value for key, val in plugin_data.session_start_info.hparams.items()}\n",
    "    for key, val in a.items():\n",
    "        df[key] = val\n",
    "    return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
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      "  2%|▏         | 1/51 [00:00<00:18,  2.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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    },
    {
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     "output_type": "stream",
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      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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      " 16%|█▌        | 8/51 [00:07<00:43,  1.01s/it]"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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      " 18%|█▊        | 9/51 [00:09<01:04,  1.54s/it]"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 25%|██▌       | 13/51 [00:12<00:28,  1.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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      " 29%|██▉       | 15/51 [00:13<00:20,  1.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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      " 33%|███▎      | 17/51 [00:14<00:19,  1.71it/s]"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
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      " 39%|███▉      | 20/51 [00:17<00:23,  1.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
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      " 53%|█████▎    | 27/51 [00:25<00:28,  1.17s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 63%|██████▎   | 32/51 [00:30<00:20,  1.07s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
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      " 73%|███████▎  | 37/51 [00:32<00:07,  1.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      " 80%|████████  | 41/51 [00:34<00:04,  2.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      " 88%|████████▊ | 45/51 [00:37<00:03,  1.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 96%|█████████▌| 49/51 [00:39<00:00,  2.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 51/51 [00:39<00:00,  1.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n",
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "fuldfs = []\n",
    "for path in tqdm.tqdm(glob('logs/gridsearchbad1020201119-172430/**/*tfevents*')):\n",
    "    try:\n",
    "        curdf = create_df(path)\n",
    "    except Exception as e:\n",
    "        print(type(e), e, sep=\": \")\n",
    "    else:\n",
    "        fuldfs.append(curdf.iloc[[-1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "alldf = pd.concat(fuldfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>episode_reward_mean</th>\n",
       "      <th>episodes_total</th>\n",
       "      <th>horizon</th>\n",
       "      <th>sgd_minibatch_size</th>\n",
       "      <th>train_batch_size</th>\n",
       "      <th>num_sgd_iter</th>\n",
       "      <th>lr</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>10.392136</td>\n",
       "      <td>10019.0</td>\n",
       "      <td>4800.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>8590.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.548662e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>11.103705</td>\n",
       "      <td>10021.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>6377.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.373106e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>12.219942</td>\n",
       "      <td>10036.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>5929.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.117081e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>12.845647</td>\n",
       "      <td>10021.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>965.0</td>\n",
       "      <td>6382.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.724732e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>12.991739</td>\n",
       "      <td>10009.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>7525.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.718726e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>13.663239</td>\n",
       "      <td>10026.0</td>\n",
       "      <td>3800.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4327.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>3.748503e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>14.296727</td>\n",
       "      <td>10039.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>763.0</td>\n",
       "      <td>8426.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.735265e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>17.113617</td>\n",
       "      <td>10028.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>8075.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>3.962949e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>18.960253</td>\n",
       "      <td>10003.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>534.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6.936576e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>22.150473</td>\n",
       "      <td>10007.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>777.0</td>\n",
       "      <td>3759.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.721110e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>25.838129</td>\n",
       "      <td>10056.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>9217.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.324721e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>34.650196</td>\n",
       "      <td>10004.0</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>2369.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>6.206877e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>42.397125</td>\n",
       "      <td>10136.0</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>5343.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.123753e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>43.187305</td>\n",
       "      <td>10518.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>7804.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>3.790196e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>44.975502</td>\n",
       "      <td>10040.0</td>\n",
       "      <td>4600.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>4859.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.264414e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46.885815</td>\n",
       "      <td>10227.0</td>\n",
       "      <td>3900.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>3556.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.480942e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>48.208107</td>\n",
       "      <td>10241.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>588.0</td>\n",
       "      <td>3097.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.045735e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>48.410667</td>\n",
       "      <td>10366.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>676.0</td>\n",
       "      <td>6792.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.105084e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>51.700687</td>\n",
       "      <td>10354.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>7364.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.408211e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>52.235855</td>\n",
       "      <td>10131.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>2159.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.700251e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>52.298782</td>\n",
       "      <td>10045.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>587.0</td>\n",
       "      <td>9577.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.381668e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>54.519043</td>\n",
       "      <td>10395.0</td>\n",
       "      <td>3800.0</td>\n",
       "      <td>839.0</td>\n",
       "      <td>2743.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.129439e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>54.749149</td>\n",
       "      <td>10009.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>5445.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.445710e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>55.031635</td>\n",
       "      <td>10131.0</td>\n",
       "      <td>2900.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>2869.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>4.530564e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>55.586498</td>\n",
       "      <td>10102.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>2943.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.561586e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>56.155495</td>\n",
       "      <td>10347.0</td>\n",
       "      <td>3200.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4443.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.944464e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>60.101940</td>\n",
       "      <td>10043.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>682.0</td>\n",
       "      <td>3428.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.550513e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>60.279758</td>\n",
       "      <td>10209.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>605.0</td>\n",
       "      <td>9526.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.092004e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>62.990257</td>\n",
       "      <td>10102.0</td>\n",
       "      <td>2100.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>4091.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.140526e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>83.790031</td>\n",
       "      <td>40241.0</td>\n",
       "      <td>4800.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>4867.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3.825237e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>86.399033</td>\n",
       "      <td>40059.0</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>911.0</td>\n",
       "      <td>3271.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.095896e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>87.431946</td>\n",
       "      <td>40031.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>529.0</td>\n",
       "      <td>1767.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.398374e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>88.330505</td>\n",
       "      <td>40048.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>645.0</td>\n",
       "      <td>7140.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.898389e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>90.765457</td>\n",
       "      <td>40187.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.606629e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>91.751465</td>\n",
       "      <td>40146.0</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>4843.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.982016e-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     episode_reward_mean  episodes_total  horizon  sgd_minibatch_size  \\\n",
       "134            10.392136         10019.0   4800.0              1001.0   \n",
       "201            11.103705         10021.0   2600.0               126.0   \n",
       "204            12.219942         10036.0   1500.0               380.0   \n",
       "202            12.845647         10021.0   1700.0               965.0   \n",
       "131            12.991739         10009.0   1700.0               273.0   \n",
       "203            13.663239         10026.0   3800.0                60.0   \n",
       "134            14.296727         10039.0   1700.0               763.0   \n",
       "126            17.113617         10028.0   2500.0               307.0   \n",
       "368            18.960253         10003.0    500.0               534.0   \n",
       "161            22.150473         10007.0   2600.0               777.0   \n",
       "97             25.838129         10056.0   2500.0               269.0   \n",
       "198            34.650196         10004.0   3700.0               479.0   \n",
       "79             42.397125         10136.0   3300.0               308.0   \n",
       "23             43.187305         10518.0   1800.0               487.0   \n",
       "59             44.975502         10040.0   4600.0               215.0   \n",
       "28             46.885815         10227.0   3900.0               825.0   \n",
       "55             48.208107         10241.0   1300.0               588.0   \n",
       "32             48.410667         10366.0   1000.0               676.0   \n",
       "26             51.700687         10354.0    700.0               292.0   \n",
       "38             52.235855         10131.0    100.0               430.0   \n",
       "25             52.298782         10045.0   1100.0               587.0   \n",
       "37             54.519043         10395.0   3800.0               839.0   \n",
       "36             54.749149         10009.0    700.0               719.0   \n",
       "39             55.031635         10131.0   2900.0               899.0   \n",
       "36             55.586498         10102.0    200.0               191.0   \n",
       "32             56.155495         10347.0   3200.0                18.0   \n",
       "30             60.101940         10043.0    100.0               682.0   \n",
       "28             60.279758         10209.0   1000.0               605.0   \n",
       "58             62.990257         10102.0   2100.0               197.0   \n",
       "179            83.790031         40241.0   4800.0               172.0   \n",
       "174            86.399033         40059.0   4300.0               911.0   \n",
       "133            87.431946         40031.0    500.0               529.0   \n",
       "82             88.330505         40048.0   1000.0               645.0   \n",
       "238            90.765457         40187.0   1800.0               514.0   \n",
       "148            91.751465         40146.0   4300.0               151.0   \n",
       "\n",
       "     train_batch_size  num_sgd_iter            lr  \n",
       "134            8590.0          19.0  4.548662e-07  \n",
       "201            6377.0          20.0  2.373106e-07  \n",
       "204            5929.0          21.0  1.117081e-07  \n",
       "202            6382.0           8.0  2.724732e-07  \n",
       "131            7525.0          13.0  4.718726e-06  \n",
       "203            4327.0          21.0  3.748503e-07  \n",
       "134            8426.0          12.0  1.735265e-07  \n",
       "126            8075.0          23.0  3.962949e-06  \n",
       "368            1230.0          27.0  6.936576e-06  \n",
       "161            3759.0          14.0  4.721110e-05  \n",
       "97             9217.0          11.0  4.324721e-05  \n",
       "198            2369.0          28.0  6.206877e-05  \n",
       "79             5343.0          21.0  1.123753e-04  \n",
       "23             7804.0          23.0  3.790196e-03  \n",
       "59             4859.0          22.0  1.264414e-04  \n",
       "28             3556.0          24.0  7.480942e-02  \n",
       "55             3097.0           4.0  1.045735e-02  \n",
       "32             6792.0           7.0  2.105084e-03  \n",
       "26             7364.0          10.0  4.408211e-03  \n",
       "38             2159.0          26.0  2.700251e-02  \n",
       "25             9577.0           4.0  8.381668e-03  \n",
       "37             2743.0          24.0  7.129439e-02  \n",
       "36             5445.0          14.0  2.445710e-03  \n",
       "39             2869.0          28.0  4.530564e-02  \n",
       "36             2943.0          21.0  1.561586e-02  \n",
       "32             4443.0          16.0  4.944464e-04  \n",
       "30             3428.0          30.0  4.550513e-02  \n",
       "28             9526.0           5.0  7.092004e-03  \n",
       "58             4091.0          18.0  2.140526e-04  \n",
       "179            4867.0          17.0  3.825237e-04  \n",
       "174            3271.0          20.0  1.095896e-03  \n",
       "133            1767.0          11.0  9.398374e-02  \n",
       "82             7140.0           6.0  6.898389e-03  \n",
       "238            1480.0          10.0  1.606629e-02  \n",
       "148            4843.0          16.0  7.982016e-04  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alldf.sort_values('episode_reward_mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1379.88x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(alldf, hue=\"episode_reward_mean\", y_vars=alldf.columns, x_vars=alldf.columns)\n",
    "g.map_diag(sns.histplot)\n",
    "g.map_offdiag(sns.scatterplot)\n",
    "g.add_legend()\n",
    "lrindexx, = np.where(np.array(g.x_vars) == \"lr\")\n",
    "lrindexy, = np.where(np.array(g.y_vars) == \"lr\")\n",
    "for ax in g.axes[:, lrindexx]:\n",
    "    ax[0].set_xscale(\"log\")\n",
    "for ax in g.axes[lrindexy, :]:\n",
    "    ax[0].set_yscale(\"log\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|▎         | 1/35 [00:11<06:45, 11.93s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'ValueError'>: Length of values (146) does not match length of index (2255)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  9%|▊         | 3/35 [00:28<05:32, 10.39s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 11%|█▏        | 4/35 [00:45<06:18, 12.21s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 14%|█▍        | 5/35 [00:45<04:20,  8.69s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 17%|█▋        | 6/35 [00:45<03:00,  6.23s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'ValueError'>: Length of values (51) does not match length of index (50)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 20%|██        | 7/35 [01:02<04:23,  9.41s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 26%|██▌       | 9/35 [01:22<04:18,  9.95s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'KeyError'>: \"Plugin 'hparams' could not be found.\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 46%|████▌     | 16/35 [01:57<02:19,  7.33s/it]\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-17-85777d263b90>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'logs/gridsearchbad1020201109-172331/**/*tfevents*'\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;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0mcurdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_df\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\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      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0mcurdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'runid'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-11-3f226c243909>\u001b[0m in \u001b[0;36mcreate_df\u001b[0;34m(inpath)\u001b[0m\n\u001b[1;32m     19\u001b[0m           event_accumulator.HISTOGRAMS: 1}\n\u001b[1;32m     20\u001b[0m     \u001b[0mea\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mevent_accumulator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEventAccumulator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize_guidance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m     \u001b[0mea\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mReload\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[0m\u001b[1;32m     22\u001b[0m     \u001b[0mscalar_tags\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mea\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'scalars'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\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;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/backend/event_processing/event_accumulator.py\u001b[0m in \u001b[0;36mReload\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    248\u001b[0m         \"\"\"\n\u001b[1;32m    249\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_generator_mutex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_generator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLoad\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[0m\u001b[1;32m    251\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ProcessEvent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/backend/event_processing/event_file_loader.py\u001b[0m in \u001b[0;36mLoad\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    164\u001b[0m           \u001b[0mAll\u001b[0m \u001b[0mevents\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mfile\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mhave\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mbeen\u001b[0m \u001b[0myielded\u001b[0m \u001b[0myet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m         \"\"\"\n\u001b[0;32m--> 166\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mrecord\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mLegacyEventFileLoader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLoad\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[0m\u001b[1;32m    167\u001b[0m             \u001b[0;32myield\u001b[0m \u001b[0mevent_pb2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEvent\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFromString\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrecord\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/backend/event_processing/event_file_loader.py\u001b[0m in \u001b[0;36mLoad\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    139\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 141\u001b[0;31m                 \u001b[0;32myield\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_iterator\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    142\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m                 \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"End of file in %s\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_file_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/backend/event_processing/event_file_loader.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    110\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__next__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\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    111\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 112\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGetNext\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[0m\u001b[1;32m    113\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOutOfRangeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/compat/tensorflow_stub/pywrap_tensorflow.py\u001b[0m in \u001b[0;36mGetNext\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    235\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_truncation_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"data\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m         \u001b[0mevent_crc_calc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmasked_crc32c\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevent_str\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    238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    239\u001b[0m         \u001b[0;31m# The next 4 bytes contain the crc32 of the Event string,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/compat/tensorflow_stub/pywrap_tensorflow.py\u001b[0m in \u001b[0;36mmasked_crc32c\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m     41\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmasked_crc32c\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[0m\n\u001b[0;32m---> 43\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mu32\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcrc32c\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[0m\n\u001b[0m\u001b[1;32m     44\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mu32\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mu32\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m<<\u001b[0m \u001b[0;36m17\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0xA282EAD8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/compat/tensorflow_stub/pywrap_tensorflow.py\u001b[0m in \u001b[0;36mcrc32c\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    166\u001b[0m       \u001b[0;36m32\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mbit\u001b[0m \u001b[0mCRC\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0mC\u001b[0m \u001b[0mchecksum\u001b[0m \u001b[0mof\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mlong\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    167\u001b[0m     \"\"\"\n\u001b[0;32m--> 168\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mcrc_finalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcrc_update\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCRC_INIT\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[0m\n\u001b[0m\u001b[1;32m    169\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/rlcoop/lib/python3.8/site-packages/tensorboard/compat/tensorflow_stub/pywrap_tensorflow.py\u001b[0m in \u001b[0;36mcrc_update\u001b[0;34m(crc, data)\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m         \u001b[0mtable_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mcrc\u001b[0m \u001b[0;34m^\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;36m0xFF\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 144\u001b[0;31m         \u001b[0mcrc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mCRC_TABLE\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtable_index\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m^\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mcrc\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0m_MASK\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    145\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mcrc\u001b[0m \u001b[0;34m^\u001b[0m \u001b[0m_MASK\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    146\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "fuldfs = []\n",
    "i = 0\n",
    "for path in tqdm.tqdm(glob('logs/gridsearchbad1020201109-172331/**/*tfevents*')):\n",
    "    try:\n",
    "        curdf = create_df(path)\n",
    "        \n",
    "        curdf['runid'] = i\n",
    "    except Exception as e:\n",
    "        print(type(e), e, sep=\": \")\n",
    "    else:\n",
    "        fuldfs.append(curdf)\n",
    "        i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dff = pd.concat(fuldfs)\n",
    "sns.set()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dff['reward'] = dff['episode_reward_mean'] / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(7, 5))\n",
    "sns.lineplot(data=dff, x=\"episodes_total\", y=\"reward\", hue=\"runid\", estimator=None, legend=None)\n",
    "plt.ylabel(\"mean reward\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(7, 5))\n",
    "\n",
    "sns.lineplot(data=dff, x=\"episodes_total\", y=\"custom_metrics/inv_mean\", hue=\"runid\", estimator=None, legend=None)\n",
    "plt.ylabel(\"Mean invest\")\n",
    "plt.ylim(0, 15)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(7, 5))\n",
    "sns.lineplot(data=dff, x=\"episodes_total\", y=\"custom_metrics/accept_mean\", hue=\"runid\", estimator=None, legend=None)\n",
    "plt.ylabel(\"Mean accept\")\n",
    "plt.ylim(0, 15)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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