{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exporting QCoDes Datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates how we can export QCoDeS datasets to other file formats. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we borrow an example from the measurement notebook to have some data to work with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import shutil\n",
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import qcodes as qc\n",
    "from qcodes.dataset import (\n",
    "    Measurement,\n",
    "    initialise_or_create_database_at,\n",
    "    load_by_run_spec,\n",
    "    load_from_netcdf,\n",
    "    load_or_create_experiment,\n",
    "    plot_dataset,\n",
    ")\n",
    "from qcodes.instrument_drivers.mock_instruments import (\n",
    "    DummyInstrument,\n",
    "    DummyInstrumentWithMeasurement,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# preparatory mocking of physical setup\n",
    "dac = DummyInstrument(\"dac\", gates=[\"ch1\", \"ch2\"])\n",
    "dmm = DummyInstrumentWithMeasurement(\"dmm\", setter_instr=dac)\n",
    "station = qc.Station(dmm, dac)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "initialise_or_create_database_at(\n",
    "    Path.cwd().parent / \"example_output\" / \"export_example.db\"\n",
    ")\n",
    "exp = load_or_create_experiment(\n",
    "    experiment_name=\"exporting_data\", sample_name=\"no sample\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qcodes.dataset.measurements.Measurement at 0x24f528e0050>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meas = Measurement(exp)\n",
    "meas.register_parameter(dac.ch1)  # register the first independent parameter\n",
    "meas.register_parameter(dac.ch2)  # register the second independent parameter\n",
    "meas.register_parameter(\n",
    "    dmm.v2, setpoints=(dac.ch1, dac.ch2)\n",
    ")  # register the dependent one"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then perform two very basic measurements using dummy instruments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting experimental run with id: 3. \n"
     ]
    }
   ],
   "source": [
    "# run a 2D sweep\n",
    "\n",
    "with meas.run() as datasaver:\n",
    "    for v1 in np.linspace(-1, 0, 200, endpoint=False):\n",
    "        for v2 in np.linspace(-1, 1, 201):\n",
    "            dac.ch1(v1)\n",
    "            dac.ch2(v2)\n",
    "            val = dmm.v2.get()\n",
    "            datasaver.add_result((dac.ch1, v1), (dac.ch2, v2), (dmm.v2, val))\n",
    "\n",
    "dataset1 = datasaver.dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting experimental run with id: 4. \n"
     ]
    }
   ],
   "source": [
    "# run a 2D sweep\n",
    "\n",
    "with meas.run() as datasaver:\n",
    "    for v1 in np.linspace(0, 1, 200, endpoint=False):\n",
    "        for v2 in np.linspace(1, 2, 201):\n",
    "            dac.ch1(v1)\n",
    "            dac.ch2(v2)\n",
    "            val = dmm.v2.get()\n",
    "            datasaver.add_result((dac.ch1, v1), (dac.ch2, v2), (dmm.v2, val))\n",
    "\n",
    "dataset2 = datasaver.dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exporting data manually"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset can be exported using the `export` method. Currently exporting to netcdf and csv is supported."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset2.export(\"netcdf\", path=Path.cwd().parent / \"example_output\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `export_info` attribute contains information about where the dataset has been exported to:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExportInfo(export_paths={'nc': 'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\qcodes_4_3739025f-0000-0000-0000-0195c7101076.nc'})"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset2.export_info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the signature of export we can see that in addition to the file format we can set the `prefix` and `path` to export to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mSignature:\u001b[39m\n",
      "dataset2.export(\n",
      "    export_type: \u001b[33m'DataExportType | str | None'\u001b[39m = \u001b[38;5;28;01mNone\u001b[39;00m,\n",
      "    path: \u001b[33m'str | Path | None'\u001b[39m = \u001b[38;5;28;01mNone\u001b[39;00m,\n",
      "    prefix: \u001b[33m'str | None'\u001b[39m = \u001b[38;5;28;01mNone\u001b[39;00m,\n",
      "    automatic_export: \u001b[33m'bool'\u001b[39m = \u001b[38;5;28;01mFalse\u001b[39;00m,\n",
      ") -> \u001b[33m'None'\u001b[39m\n",
      "\u001b[31mDocstring:\u001b[39m\n",
      "Export data to disk with file name `{prefix}{name_elements}.{ext}`.\n",
      "Name elements are names of dataset object attributes that are taken\n",
      "from the dataset and inserted into the name of the export file, for\n",
      "example if name elements are ``[\"captured_run_id\", \"guid\"]``, then\n",
      "the file name will be `{prefix}{captured_run_id}_{guid}.{ext}`.\n",
      "Values for the export type, path, export_name_elements and prefix can\n",
      "also be set in the \"dataset\" section of qcodes config.\n",
      "\n",
      "Args:\n",
      "    export_type: Data export type, e.g. \"netcdf\" or ``DataExportType.NETCDF``,\n",
      "        defaults to a value set in qcodes config\n",
      "    path: Export path, defaults to value set in config\n",
      "    prefix: File prefix, e.g. ``qcodes_``, defaults to value set in config.\n",
      "    automatic_export: Is this export automatic?\n",
      "\n",
      "Raises:\n",
      "    ValueError: If the export data type is not specified or unknown,\n",
      "        raise an error\n",
      "\u001b[31mFile:\u001b[39m      c:\\users\\jens\\source\\repos\\qcodes\\src\\qcodes\\dataset\\data_set_protocol.py\n",
      "\u001b[31mType:\u001b[39m      method"
     ]
    }
   ],
   "source": [
    "?dataset2.export"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export data automatically"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Datasets may also be exported automatically using the configuration options given in dataset config section. \n",
    "Here you can toggle if a dataset should be exported automatically using the `export_automatic` option as well as set the default type, prefix, elements in the name, and path. See [the table here](https://microsoft.github.io/Qcodes/api/configuration/index.html#qcodes-default-configuration) for the relevant configuration options.\n",
    "\n",
    "For more information about how to configure QCoDeS datasets see [the page about configuration](https://microsoft.github.io/Qcodes/api/configuration/index.html)  in the QCoDeS docs.\n",
    "\n",
    "By default datasets are exported into a folder next to the database with the same name but ``.`` replaced by ``_`` e.g. if you store data to ``~/experiments.db`` the exported files will be storred in ``~/experiments_db``\n",
    "This folder is automatically created if it does not exist. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Automatically post process exported datasets."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "QCoDeD will attempt to call any [EntryPoint](https://setuptools.pypa.io/en/latest/userguide/entry_point.html#entry-points-for-plugins) registered for the group \"qcodes.dataset.on_export\". This will allow a user to setup a function that can trigger post processing such as backup to cloud, external drive, plotting or post process analysis. Functions registered for this entry point group are expected to take a Path to the file as input and return None. Please consult the [Setuptools docs](https://setuptools.pypa.io/en/latest/userguide/entry_point.html#entry-points-for-plugins) for more information on the use of EntryPoints. The entry point function must take the path to the exported file as a positional argument and take ``**kwargs`` for future compatibility. At the moment a single keyword argument ``automatic_export`` is passed to the function which indicates if the dataset was automatically or manually exported."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing exported datasets into a new database"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above dataset has been created in the following database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\export_example.db'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.config.core.db_location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets imagine that we move the exported dataset to a different computer. To emulate this we will create a new database file and set it as the active database. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "initialise_or_create_database_at(\n",
    "    Path.cwd().parent / \"example_output\" / \"reimport_example.db\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\reimport_example.db'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.config.core.db_location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then reload the dataset from the netcdf file as a DataSetInMem. This is a class that closely matches the regular DataSet class however its metadata may or may not be written to a database file and its data is not written to a database file. See more in [\n",
    "In memory dataset](./InMemoryDataSet.ipynb) . Concretely this means that the data captured in the dataset can be acceced via `dataset.cache.data` etc. and not via the methods directly on the dataset (`dataset.get_parameter_data` ...) \n",
    "\n",
    "Note that it is currently only possible to reload a dataset from a netcdf export and not from a csv export. This is due to the fact that a csv export only contains the raw data and not the metadata needed to recreate a dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "loaded_ds = load_from_netcdf(dataset2.export_info.export_paths[\"nc\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "qcodes.dataset.data_set_in_memory.DataSetInMem"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(loaded_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, we can still export the data to Pandasa and xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 325kB\n",
       "Dimensions:  (dac_ch1: 200, dac_ch2: 201)\n",
       "Coordinates:\n",
       "  * dac_ch1  (dac_ch1) float64 2kB 0.0 0.005 0.01 0.015 ... 0.985 0.99 0.995\n",
       "  * dac_ch2  (dac_ch2) float64 2kB 1.0 1.005 1.01 1.015 ... 1.985 1.99 1.995 2.0\n",
       "Data variables:\n",
       "    dmm_v2   (dac_ch1, dac_ch2) float64 322kB 0.005678 0.0054 ... -7.348e-05\n",
       "Attributes: (12/15)\n",
       "    ds_name:                  results\n",
       "    sample_name:              no sample\n",
       "    exp_name:                 exporting_data\n",
       "    snapshot:                 {&quot;station&quot;: {&quot;instruments&quot;: {&quot;dmm&quot;: {&quot;functions...\n",
       "    guid:                     3739025f-0000-0000-0000-0195c7101076\n",
       "    run_timestamp:            2025-03-24 08:31:13\n",
       "    ...                       ...\n",
       "    run_id:                   4\n",
       "    run_description:          {&quot;version&quot;: 3, &quot;interdependencies&quot;: {&quot;paramspec...\n",
       "    parent_dataset_links:     []\n",
       "    run_timestamp_raw:        1742801473.6676085\n",
       "    completed_timestamp_raw:  1742801477.9122665\n",
       "    export_info:              {&quot;export_paths&quot;: {&quot;nc&quot;: &quot;c:\\\\Users\\\\Jens\\\\sourc...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1e88f32b-966a-4300-a0cc-164675201b13' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e88f32b-966a-4300-a0cc-164675201b13' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>dac_ch1</span>: 200</li><li><span class='xr-has-index'>dac_ch2</span>: 201</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3b4de29c-da60-4b0e-91eb-fbb0fab90fa3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b4de29c-da60-4b0e-91eb-fbb0fab90fa3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dac_ch1</span></div><div class='xr-var-dims'>(dac_ch1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.005 0.01 ... 0.985 0.99 0.995</div><input id='attrs-7a3d0e17-340c-4e50-bbea-4fae7ab73b2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a3d0e17-340c-4e50-bbea-4fae7ab73b2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8638de08-cce9-49a1-a1aa-8372580eb8f8' class='xr-var-data-in' type='checkbox'><label for='data-8638de08-cce9-49a1-a1aa-8372580eb8f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>dac_ch1</dd><dt><span>paramtype :</span></dt><dd>numeric</dd><dt><span>label :</span></dt><dd>Gate ch1</dd><dt><span>unit :</span></dt><dd>V</dd><dt><span>inferred_from :</span></dt><dd>[]</dd><dt><span>depends_on :</span></dt><dd>[]</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Gate ch1</dd></dl></div><div class='xr-var-data'><pre>array([0.   , 0.005, 0.01 , 0.015, 0.02 , 0.025, 0.03 , 0.035, 0.04 , 0.045,\n",
       "       0.05 , 0.055, 0.06 , 0.065, 0.07 , 0.075, 0.08 , 0.085, 0.09 , 0.095,\n",
       "       0.1  , 0.105, 0.11 , 0.115, 0.12 , 0.125, 0.13 , 0.135, 0.14 , 0.145,\n",
       "       0.15 , 0.155, 0.16 , 0.165, 0.17 , 0.175, 0.18 , 0.185, 0.19 , 0.195,\n",
       "       0.2  , 0.205, 0.21 , 0.215, 0.22 , 0.225, 0.23 , 0.235, 0.24 , 0.245,\n",
       "       0.25 , 0.255, 0.26 , 0.265, 0.27 , 0.275, 0.28 , 0.285, 0.29 , 0.295,\n",
       "       0.3  , 0.305, 0.31 , 0.315, 0.32 , 0.325, 0.33 , 0.335, 0.34 , 0.345,\n",
       "       0.35 , 0.355, 0.36 , 0.365, 0.37 , 0.375, 0.38 , 0.385, 0.39 , 0.395,\n",
       "       0.4  , 0.405, 0.41 , 0.415, 0.42 , 0.425, 0.43 , 0.435, 0.44 , 0.445,\n",
       "       0.45 , 0.455, 0.46 , 0.465, 0.47 , 0.475, 0.48 , 0.485, 0.49 , 0.495,\n",
       "       0.5  , 0.505, 0.51 , 0.515, 0.52 , 0.525, 0.53 , 0.535, 0.54 , 0.545,\n",
       "       0.55 , 0.555, 0.56 , 0.565, 0.57 , 0.575, 0.58 , 0.585, 0.59 , 0.595,\n",
       "       0.6  , 0.605, 0.61 , 0.615, 0.62 , 0.625, 0.63 , 0.635, 0.64 , 0.645,\n",
       "       0.65 , 0.655, 0.66 , 0.665, 0.67 , 0.675, 0.68 , 0.685, 0.69 , 0.695,\n",
       "       0.7  , 0.705, 0.71 , 0.715, 0.72 , 0.725, 0.73 , 0.735, 0.74 , 0.745,\n",
       "       0.75 , 0.755, 0.76 , 0.765, 0.77 , 0.775, 0.78 , 0.785, 0.79 , 0.795,\n",
       "       0.8  , 0.805, 0.81 , 0.815, 0.82 , 0.825, 0.83 , 0.835, 0.84 , 0.845,\n",
       "       0.85 , 0.855, 0.86 , 0.865, 0.87 , 0.875, 0.88 , 0.885, 0.89 , 0.895,\n",
       "       0.9  , 0.905, 0.91 , 0.915, 0.92 , 0.925, 0.93 , 0.935, 0.94 , 0.945,\n",
       "       0.95 , 0.955, 0.96 , 0.965, 0.97 , 0.975, 0.98 , 0.985, 0.99 , 0.995])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dac_ch2</span></div><div class='xr-var-dims'>(dac_ch2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.005 1.01 ... 1.99 1.995 2.0</div><input id='attrs-d386352f-f512-4607-a77c-0103ca7bcd07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d386352f-f512-4607-a77c-0103ca7bcd07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b719d6e-70f0-4278-a9a8-1f31c4d7e85c' class='xr-var-data-in' type='checkbox'><label for='data-6b719d6e-70f0-4278-a9a8-1f31c4d7e85c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>dac_ch2</dd><dt><span>paramtype :</span></dt><dd>numeric</dd><dt><span>label :</span></dt><dd>Gate ch2</dd><dt><span>unit :</span></dt><dd>V</dd><dt><span>inferred_from :</span></dt><dd>[]</dd><dt><span>depends_on :</span></dt><dd>[]</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Gate ch2</dd></dl></div><div class='xr-var-data'><pre>array([1.   , 1.005, 1.01 , ..., 1.99 , 1.995, 2.   ], shape=(201,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-914492ef-3a04-49bc-a5f0-670b6f980716' class='xr-section-summary-in' type='checkbox'  checked><label for='section-914492ef-3a04-49bc-a5f0-670b6f980716' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>dmm_v2</span></div><div class='xr-var-dims'>(dac_ch1, dac_ch2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.005678 0.0054 ... -7.348e-05</div><input id='attrs-c5337b2d-05a2-406a-b952-4e58d770efea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5337b2d-05a2-406a-b952-4e58d770efea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cd9e5de-3c4f-4ab0-9ce9-7c4689cdf363' class='xr-var-data-in' type='checkbox'><label for='data-0cd9e5de-3c4f-4ab0-9ce9-7c4689cdf363' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>dmm_v2</dd><dt><span>paramtype :</span></dt><dd>numeric</dd><dt><span>label :</span></dt><dd>Gate v2</dd><dt><span>unit :</span></dt><dd>V</dd><dt><span>inferred_from :</span></dt><dd>[]</dd><dt><span>depends_on :</span></dt><dd>[&#x27;dac_ch1&#x27;, &#x27;dac_ch2&#x27;]</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>long_name :</span></dt><dd>Gate v2</dd></dl></div><div class='xr-var-data'><pre>array([[ 5.67823101e-03,  5.39988380e-03,  5.25634912e-03, ...,\n",
       "         1.60043654e-04, -2.89224104e-04,  4.67151812e-05],\n",
       "       [ 5.62277132e-03,  6.48007393e-03,  5.64757283e-03, ...,\n",
       "        -6.39830512e-04, -7.65742198e-05, -2.89300390e-04],\n",
       "       [ 6.36219421e-03,  6.10992959e-03,  5.69101804e-03, ...,\n",
       "        -2.09087839e-04,  3.27104127e-05, -3.69885667e-04],\n",
       "       ...,\n",
       "       [ 4.66938633e-04, -3.53569170e-04, -9.61336234e-04, ...,\n",
       "         6.61792678e-04,  3.89200992e-05, -4.94210960e-04],\n",
       "       [-3.39601965e-05,  6.43571261e-04, -3.99398912e-04, ...,\n",
       "        -5.49353259e-04,  3.74777620e-04, -9.50980877e-04],\n",
       "       [-3.36160746e-04, -2.35107050e-04, -3.18794607e-04, ...,\n",
       "        -7.64107173e-05, -1.69218220e-04, -7.34830161e-05]],\n",
       "      shape=(200, 201))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c076422c-8d59-4caa-95be-20bb1eab8a87' class='xr-section-summary-in' type='checkbox'  ><label for='section-c076422c-8d59-4caa-95be-20bb1eab8a87' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>dac_ch1</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-677b263d-dc2a-412b-b112-04a4954c8d99' class='xr-index-data-in' type='checkbox'/><label for='index-677b263d-dc2a-412b-b112-04a4954c8d99' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0, 0.005,  0.01, 0.015,  0.02, 0.025,  0.03, 0.035,  0.04, 0.045,\n",
       "       ...\n",
       "        0.95, 0.955,  0.96, 0.965,  0.97, 0.975,  0.98, 0.985,  0.99, 0.995],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;dac_ch1&#x27;, length=200))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dac_ch2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5af13ae2-c4a2-49d8-b09f-33aee42c49bf' class='xr-index-data-in' type='checkbox'/><label for='index-5af13ae2-c4a2-49d8-b09f-33aee42c49bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  1.0, 1.005,  1.01, 1.015,  1.02, 1.025,  1.03, 1.035,  1.04, 1.045,\n",
       "       ...\n",
       "       1.955,  1.96, 1.965,  1.97, 1.975,  1.98, 1.985,  1.99, 1.995,   2.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;dac_ch2&#x27;, length=201))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50a8239e-695c-4c4f-a32c-907e3be14343' class='xr-section-summary-in' type='checkbox'  ><label for='section-50a8239e-695c-4c4f-a32c-907e3be14343' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ds_name :</span></dt><dd>results</dd><dt><span>sample_name :</span></dt><dd>no sample</dd><dt><span>exp_name :</span></dt><dd>exporting_data</dd><dt><span>snapshot :</span></dt><dd>{&quot;station&quot;: {&quot;instruments&quot;: {&quot;dmm&quot;: {&quot;functions&quot;: {}, &quot;submodules&quot;: {}, &quot;parameters&quot;: {&quot;IDN&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dmm_IDN&quot;, &quot;value&quot;: {&quot;vendor&quot;: &quot;QCoDeS&quot;, &quot;model&quot;: &quot;&lt;class &#x27;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&#x27;&gt;&quot;, &quot;serial&quot;: &quot;NA&quot;, &quot;firmware&quot;: &quot;NA&quot;}, &quot;raw_value&quot;: {&quot;vendor&quot;: &quot;QCoDeS&quot;, &quot;model&quot;: &quot;&lt;class &#x27;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&#x27;&gt;&quot;, &quot;serial&quot;: &quot;NA&quot;, &quot;firmware&quot;: &quot;NA&quot;}, &quot;ts&quot;: &quot;2025-03-24 08:31:09&quot;, &quot;vals&quot;: &quot;&lt;Anything&gt;&quot;, &quot;name&quot;: &quot;IDN&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&quot;, &quot;instrument_name&quot;: &quot;dmm&quot;, &quot;unit&quot;: &quot;&quot;, &quot;label&quot;: &quot;IDN&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Anything&gt;&quot;]}, &quot;v1&quot;: {&quot;__class__&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DmmExponentialParameter&quot;, &quot;full_name&quot;: &quot;dmm_v1&quot;, &quot;value&quot;: 5.057322817916803, &quot;raw_value&quot;: 5.057322817916803, &quot;ts&quot;: &quot;2025-03-24 08:31:09&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;v1&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&quot;, &quot;instrument_name&quot;: &quot;dmm&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate v1&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}, &quot;v2&quot;: {&quot;__class__&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DmmGaussParameter&quot;, &quot;full_name&quot;: &quot;dmm_v2&quot;, &quot;value&quot;: 0.005501892036991014, &quot;raw_value&quot;: 0.005501892036991014, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;v2&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&quot;, &quot;instrument_name&quot;: &quot;dmm&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate v2&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}}, &quot;__class__&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&quot;, &quot;name&quot;: &quot;dmm&quot;, &quot;label&quot;: &quot;dmm&quot;}, &quot;dac&quot;: {&quot;functions&quot;: {}, &quot;submodules&quot;: {}, &quot;parameters&quot;: {&quot;IDN&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_IDN&quot;, &quot;value&quot;: {&quot;vendor&quot;: &quot;QCoDeS&quot;, &quot;model&quot;: &quot;&lt;class &#x27;qcodes.instrument_drivers.mock_instruments.DummyInstrument&#x27;&gt;&quot;, &quot;serial&quot;: &quot;NA&quot;, &quot;firmware&quot;: &quot;NA&quot;}, &quot;raw_value&quot;: {&quot;vendor&quot;: &quot;QCoDeS&quot;, &quot;model&quot;: &quot;&lt;class &#x27;qcodes.instrument_drivers.mock_instruments.DummyInstrument&#x27;&gt;&quot;, &quot;serial&quot;: &quot;NA&quot;, &quot;firmware&quot;: &quot;NA&quot;}, &quot;ts&quot;: &quot;2025-03-24 08:31:09&quot;, &quot;vals&quot;: &quot;&lt;Anything&gt;&quot;, &quot;name&quot;: &quot;IDN&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;&quot;, &quot;label&quot;: &quot;IDN&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Anything&gt;&quot;]}, &quot;ch1&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_ch1&quot;, &quot;value&quot;: -0.0050000000000000044, &quot;raw_value&quot;: -0.0050000000000000044, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;ch1&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate ch1&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}, &quot;ch2&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_ch2&quot;, &quot;value&quot;: 1.0, &quot;raw_value&quot;: 1.0, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;ch2&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate ch2&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}, &quot;fixed_parameter&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_fixed_parameter&quot;, &quot;value&quot;: 5, &quot;raw_value&quot;: 5, &quot;ts&quot;: &quot;2025-03-24 08:31:09&quot;, &quot;name&quot;: &quot;fixed_parameter&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;&quot;, &quot;label&quot;: &quot;fixed_parameter&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: []}}, &quot;__class__&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;name&quot;: &quot;dac&quot;, &quot;label&quot;: &quot;dac&quot;}}, &quot;parameters&quot;: {}, &quot;components&quot;: {}, &quot;config&quot;: null}, &quot;parameters&quot;: {&quot;ch1&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_ch1&quot;, &quot;value&quot;: -0.0050000000000000044, &quot;raw_value&quot;: -0.0050000000000000044, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;ch1&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate ch1&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}, &quot;ch2&quot;: {&quot;__class__&quot;: &quot;qcodes.parameters.parameter.Parameter&quot;, &quot;full_name&quot;: &quot;dac_ch2&quot;, &quot;value&quot;: 1.0, &quot;raw_value&quot;: 1.0, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;ch2&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrument&quot;, &quot;instrument_name&quot;: &quot;dac&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate ch2&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}, &quot;v2&quot;: {&quot;__class__&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DmmGaussParameter&quot;, &quot;full_name&quot;: &quot;dmm_v2&quot;, &quot;value&quot;: 0.005501892036991014, &quot;raw_value&quot;: 0.005501892036991014, &quot;ts&quot;: &quot;2025-03-24 08:31:13&quot;, &quot;vals&quot;: &quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;, &quot;name&quot;: &quot;v2&quot;, &quot;post_delay&quot;: 0, &quot;instrument&quot;: &quot;qcodes.instrument_drivers.mock_instruments.DummyInstrumentWithMeasurement&quot;, &quot;instrument_name&quot;: &quot;dmm&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;label&quot;: &quot;Gate v2&quot;, &quot;inter_delay&quot;: 0, &quot;validators&quot;: [&quot;&lt;Numbers -800&lt;=v&lt;=400&gt;&quot;]}}}</dd><dt><span>guid :</span></dt><dd>3739025f-0000-0000-0000-0195c7101076</dd><dt><span>run_timestamp :</span></dt><dd>2025-03-24 08:31:13</dd><dt><span>completed_timestamp :</span></dt><dd>2025-03-24 08:31:17</dd><dt><span>captured_run_id :</span></dt><dd>4</dd><dt><span>captured_counter :</span></dt><dd>4</dd><dt><span>run_id :</span></dt><dd>4</dd><dt><span>run_description :</span></dt><dd>{&quot;version&quot;: 3, &quot;interdependencies&quot;: {&quot;paramspecs&quot;: [{&quot;name&quot;: &quot;dac_ch1&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate ch1&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;inferred_from&quot;: [], &quot;depends_on&quot;: []}, {&quot;name&quot;: &quot;dac_ch2&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate ch2&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;inferred_from&quot;: [], &quot;depends_on&quot;: []}, {&quot;name&quot;: &quot;dmm_v2&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate v2&quot;, &quot;unit&quot;: &quot;V&quot;, &quot;inferred_from&quot;: [], &quot;depends_on&quot;: [&quot;dac_ch1&quot;, &quot;dac_ch2&quot;]}]}, &quot;interdependencies_&quot;: {&quot;parameters&quot;: {&quot;dmm_v2&quot;: {&quot;name&quot;: &quot;dmm_v2&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate v2&quot;, &quot;unit&quot;: &quot;V&quot;}, &quot;dac_ch1&quot;: {&quot;name&quot;: &quot;dac_ch1&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate ch1&quot;, &quot;unit&quot;: &quot;V&quot;}, &quot;dac_ch2&quot;: {&quot;name&quot;: &quot;dac_ch2&quot;, &quot;paramtype&quot;: &quot;numeric&quot;, &quot;label&quot;: &quot;Gate ch2&quot;, &quot;unit&quot;: &quot;V&quot;}}, &quot;dependencies&quot;: {&quot;dmm_v2&quot;: [&quot;dac_ch1&quot;, &quot;dac_ch2&quot;]}, &quot;inferences&quot;: {}, &quot;standalones&quot;: []}, &quot;shapes&quot;: null}</dd><dt><span>parent_dataset_links :</span></dt><dd>[]</dd><dt><span>run_timestamp_raw :</span></dt><dd>1742801473.6676085</dd><dt><span>completed_timestamp_raw :</span></dt><dd>1742801477.9122665</dd><dt><span>export_info :</span></dt><dd>{&quot;export_paths&quot;: {&quot;nc&quot;: &quot;c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\qcodes_4_3739025f-0000-0000-0000-0195c7101076.nc&quot;}}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 325kB\n",
       "Dimensions:  (dac_ch1: 200, dac_ch2: 201)\n",
       "Coordinates:\n",
       "  * dac_ch1  (dac_ch1) float64 2kB 0.0 0.005 0.01 0.015 ... 0.985 0.99 0.995\n",
       "  * dac_ch2  (dac_ch2) float64 2kB 1.0 1.005 1.01 1.015 ... 1.985 1.99 1.995 2.0\n",
       "Data variables:\n",
       "    dmm_v2   (dac_ch1, dac_ch2) float64 322kB 0.005678 0.0054 ... -7.348e-05\n",
       "Attributes: (12/15)\n",
       "    ds_name:                  results\n",
       "    sample_name:              no sample\n",
       "    exp_name:                 exporting_data\n",
       "    snapshot:                 {\"station\": {\"instruments\": {\"dmm\": {\"functions...\n",
       "    guid:                     3739025f-0000-0000-0000-0195c7101076\n",
       "    run_timestamp:            2025-03-24 08:31:13\n",
       "    ...                       ...\n",
       "    run_id:                   4\n",
       "    run_description:          {\"version\": 3, \"interdependencies\": {\"paramspec...\n",
       "    parent_dataset_links:     []\n",
       "    run_timestamp_raw:        1742801473.6676085\n",
       "    completed_timestamp_raw:  1742801477.9122665\n",
       "    export_info:              {\"export_paths\": {\"nc\": \"c:\\\\Users\\\\Jens\\\\sourc..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_ds.cache.to_xarray_dataset()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And plot it using `plot_dataset`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<Axes: title={'center': 'Run #4, Experiment exporting_data (no sample)'}, xlabel='Gate ch1 (mV)', ylabel='Gate ch2 (V)'>],\n",
       " [<matplotlib.colorbar.Colorbar at 0x24f55f91160>])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dataset(loaded_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the dataset will have the same `captured_run_id` and `captured_counter` as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "captured_run_id = loaded_ds.captured_run_id\n",
    "captured_run_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But do note that the `run_id` and `counter` are in general not preserved since they represent the datasets number in a given db file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_ds.run_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A loaded datasets metadata can be written to the current db file and subsequently the dataset including metadata and raw data reloaded from the database and netcdf file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "loaded_ds.write_metadata_to_db()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that the metadata has been written to a database the dataset can be plotted with [plottr](https://github.com/toolsforexperiments/plottr/) like a regular dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "del loaded_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "reloaded_ds = load_by_run_spec(captured_run_id=captured_run_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<Axes: title={'center': 'Run #4, Experiment exporting_data (no sample)'}, xlabel='Gate ch1 (mV)', ylabel='Gate ch2 (V)'>],\n",
       " [<matplotlib.colorbar.Colorbar at 0x24f5936c190>])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dataset(reloaded_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that loading a dataset from the database will also load the raw data into `dataset.cache` provided that the `netcdf` file is still in the location where file was when the metadata was written to the database. Load_by_runspec and related functions will load data into a regular `DataSet` provided that the data can be found in the database otherwise it will be loaded into a `DataSetInMem`\n",
    "\n",
    "\n",
    "If the netcdf file cannot be found the dataset will load with a warning and the raw data will not be accessible from the dataset. \n",
    "\n",
    "If this happens because you have moved the location of a netcdf file you can use the method ``set_netcdf_location`` to set a new location for the the netcdf file in the dataset and database file. \n",
    "Here we demonstrate this by copying the netcdf file and changing the location using this method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\somefile.nc'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = dataset2.export_info.export_paths[\"nc\"]\n",
    "new_file_path = str(Path.cwd().parent / \"example_output\" / \"somefile.nc\")\n",
    "new_file_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\somefile.nc'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shutil.copyfile(dataset2.export_info.export_paths[\"nc\"], new_file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExportInfo(export_paths={'nc': 'c:\\\\Users\\\\Jens\\\\source\\\\repos\\\\Qcodes\\\\docs\\\\examples\\\\example_output\\\\somefile.nc'})"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reloaded_ds.set_netcdf_location(new_file_path)\n",
    "reloaded_ds.export_info"
   ]
  }
 ],
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