Untitled.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:09:36.894075Z",
     "start_time": "2018-08-24T07:09:35.890260Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:09:46.876168Z",
     "start_time": "2018-08-24T07:09:37.355129Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from plottr.data.qcodes import DataSetDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:09:48.803756Z",
     "start_time": "2018-08-24T07:09:48.798752Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import qcodes\n",
    "from qcodes.dataset.data_set import get_data\n",
    "from qcodes import load_by_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:09:51.601482Z",
     "start_time": "2018-08-24T07:09:51.597008Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "qcodes.config['core']['db_location'] = r\"D:\\OneDrive\\BF2\\Data\\experiments.db\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-20T16:09:49.180417Z",
     "start_time": "2018-08-20T15:57:57.198772Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dd = DataSetDict(r\"D:\\OneDrive\\BF2\\Data\\experiments.db\", run_id=605)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-21T13:09:01.654032Z",
     "start_time": "2018-08-21T13:09:01.648003Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16200400,)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd['detector_signal_abs']['values'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:10:00.362877Z",
     "start_time": "2018-08-24T07:09:59.897954Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = load_by_id(605)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:12:50.883231Z",
     "start_time": "2018-08-24T07:10:49.359223Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = np.array(data.get_data('detector_signal_abs'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-24T07:46:24.573687Z",
     "start_time": "2018-08-24T07:46:23.628294Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:Could not execute transaction, rolling back\n",
      "Traceback (most recent call last):\n",
      "  File \"d:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\", line 254, in atomic_transaction\n",
      "    c = transaction(conn, sql, *args)\n",
      "  File \"d:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\", line 233, in transaction\n",
      "    c.execute(sql)\n",
      "sqlite3.OperationalError: near \"FROM\": syntax error\n"
     ]
    },
    {
     "ename": "OperationalError",
     "evalue": "near \"FROM\": syntax error",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mOperationalError\u001b[0m                          Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-4a77fb0d37da>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mz\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32md:\\code\\qcodes\\qcodes\\dataset\\data_set.py\u001b[0m in \u001b[0;36mget_data\u001b[1;34m(self, start, end, *params)\u001b[0m\n\u001b[0;32m    542\u001b[0m             \u001b[0mvalid_param_names\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmaybeParam\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    543\u001b[0m         data = get_data(self.conn, self.table_name, valid_param_names,\n\u001b[1;32m--> 544\u001b[1;33m                         start, end)\n\u001b[0m\u001b[0;32m    545\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    546\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\u001b[0m in \u001b[0;36mget_data\u001b[1;34m(conn, table_name, columns, start, end)\u001b[0m\n\u001b[0;32m    592\u001b[0m         \u001b[0mFROM\u001b[0m \u001b[1;34m\"{table_name}\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    593\u001b[0m         \"\"\"\n\u001b[1;32m--> 594\u001b[1;33m     \u001b[0mc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0matomic_transaction\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mquery\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    595\u001b[0m     \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmany_many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    596\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\u001b[0m in \u001b[0;36matomic_transaction\u001b[1;34m(conn, sql, *args)\u001b[0m\n\u001b[0;32m    256\u001b[0m         \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Could not execute transaction, rolling back\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    257\u001b[0m         \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrollback\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 258\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    259\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    260\u001b[0m     \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcommit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\u001b[0m in \u001b[0;36matomic_transaction\u001b[1;34m(conn, sql, *args)\u001b[0m\n\u001b[0;32m    252\u001b[0m     \"\"\"\n\u001b[0;32m    253\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 254\u001b[1;33m         \u001b[0mc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtransaction\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msql\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    255\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    256\u001b[0m         \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Could not execute transaction, rolling back\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32md:\\code\\qcodes\\qcodes\\dataset\\sqlite_base.py\u001b[0m in \u001b[0;36mtransaction\u001b[1;34m(conn, sql, *args)\u001b[0m\n\u001b[0;32m    231\u001b[0m         \u001b[0mc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msql\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    232\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 233\u001b[1;33m         \u001b[0mc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msql\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    234\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    235\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mOperationalError\u001b[0m: near \"FROM\": syntax error"
     ]
    }
   ],
   "source": [
    "z = np.array(data.get_data('detector_signal_abs'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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