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    "(adaptive-tutorial)=\n",
    "# Tutorial 4. Adaptive Measurements\n",
    "\n",
    "```{seealso}\n",
    "The complete source code of this tutorial can be found in\n",
    "\n",
    "{nb-download}`Tutorial 4. Adaptive Measurements.ipynb`\n",
    "```\n",
    "\n",
    "This tutorial requires familiarity with the **core concepts** of Quantify.\n",
    "We **highly recommended** to read the {ref}`user guide <user-guide>` and follow {ref}`Tutorial 1. Controlling a basic experiment using MeasurementControl` and {ref}`Tutorial 2. Advanced capabilities of the MeasurementControl` first.\n",
    "\n",
    "In this tutorial, we explore the adaptive functionality of the {class}`.MeasurementControl`.\n",
    "With this mode, instead of predefining a grid of values to sweep through, we provide an optimization function and an initial state to the `meas_ctrl`.\n",
    "The `meas_ctrl` will then use this function to build the sweep. We import our usual modules and set up a `meas_ctrl` with visualization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4874e435",
   "metadata": {
    "mystnb": {
     "code_prompt_show": "Imports and auxiliary utilities"
    },
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [
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     "text": [
      "/tmp/ipykernel_1142/264498003.py:8: DeprecationWarning: This package has reached its end of life. It is no longer maintained and will not receive any further updates or support. For further developments, please refer to the new Quantify repository: https://gitlab.com/quantify-os/quantify.All existing functionalities can be accessed via the new Quantify repository.\n",
      "  import quantify_core.analysis.optimization_analysis as oa\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "import adaptive\n",
    "import numpy as np\n",
    "from qcodes import Instrument, ManualParameter\n",
    "from scipy import optimize\n",
    "\n",
    "import quantify_core.analysis.optimization_analysis as oa\n",
    "import quantify_core.visualization.pyqt_plotmon as pqm\n",
    "from quantify_core.analysis.interpolation_analysis import InterpolationAnalysis2D\n",
    "from quantify_core.data.handling import set_datadir, default_datadir\n",
    "from quantify_core.measurement.control import MeasurementControl\n",
    "from quantify_core.visualization.instrument_monitor import InstrumentMonitor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07057c0a",
   "metadata": {},
   "source": [
    "Before instantiating any instruments or starting a measurement we change the\n",
    "directory in which the experiments are saved using the\n",
    "{meth}`~quantify_core.data.handling.set_datadir`\n",
    "\\[{meth}`~quantify_core.data.handling.get_datadir`\\] functions.\n",
    "\n",
    "----------------------------------------------------------------------------------------\n",
    "\n",
    "⚠️ **Warning!**\n",
    "\n",
    "We recommend always setting the directory at the start of the python kernel and stick\n",
    "to a single common data directory for all notebooks/experiments within your\n",
    "measurement setup/PC.\n",
    "\n",
    "The cell below sets a default data directory (`~/quantify-data` on Linux/macOS or\n",
    "`$env:USERPROFILE\\\\quantify-data` on Windows) for tutorial purposes. Change it to your\n",
    "desired data directory. The utilities to find/search/extract data only work if\n",
    "all the experiment containers are located within the same directory.\n",
    "\n",
    "----------------------------------------------------------------------------------------"
   ]
  },
  {
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    {
     "name": "stdout",
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     "text": [
      "Data will be saved in:\n",
      "/root/quantify-data\n"
     ]
    }
   ],
   "source": [
    "set_datadir(default_datadir())"
   ]
  },
  {
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   "execution_count": 3,
   "id": "c93ce3d0",
   "metadata": {
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   "source": [
    "meas_ctrl = MeasurementControl(\"meas_ctrl\")\n",
    "insmon = InstrumentMonitor(\"InstrumentMonitor\")\n",
    "plotmon = pqm.PlotMonitor_pyqt(\"plotmon_meas_ctrl\")\n",
    "meas_ctrl.instr_plotmon(plotmon.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57a00112",
   "metadata": {},
   "source": [
    "## Finding a minimum\n",
    "\n",
    "We will create a mock Instrument our `meas_ctrl` will interact with. In this case, it is a simple parabola centered at the origin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "882fd32e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qcodes.parameters.parameter.Parameter: amp at 133204859222864>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "para = Instrument(\"parabola\")\n",
    "\n",
    "para.add_parameter(\"x\", unit=\"m\", label=\"X\", parameter_class=ManualParameter)\n",
    "para.add_parameter(\"y\", unit=\"m\", label=\"Y\", parameter_class=ManualParameter)\n",
    "\n",
    "para.add_parameter(\n",
    "    \"noise\", unit=\"V\", label=\"white noise amplitude\", parameter_class=ManualParameter\n",
    ")\n",
    "para.add_parameter(\n",
    "    \"acq_delay\", initial_value=0.1, unit=\"s\", parameter_class=ManualParameter\n",
    ")\n",
    "\n",
    "\n",
    "def _amp_model():\n",
    "    time.sleep(\n",
    "        para.acq_delay()\n",
    "    )  # for display purposes, just so we can watch the live plot update\n",
    "    return para.x() ** 2 + para.y() ** 2 + para.noise() * np.random.rand(1)\n",
    "\n",
    "\n",
    "para.add_parameter(\"amp\", unit=\"V\", label=\"Amplitude\", get_cmd=_amp_model)"
   ]
  },
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   "id": "1999bc2a",
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   "source": [
    "Next, we will use the `optimize` package from `scipy` to provide our adaptive function.\n",
    "You can of course implement your own functions for this purpose, but for brevity we will use something standard and easily available.\n",
    "\n",
    "Then, we set our {ref}`Settables and Gettables<Settables and Gettables>` as usual, and define a new dictionary `af_pars`.\n",
    "The only required key in this object is `adaptive_function`, the value to be used by the adaptive function.\n",
    "The remaining fields in this dictionary are the arguments to the adaptive function itself. We also add some noise into the parabola to stress our adaptive function.\n",
    "\n",
    "**As such, it is highly recommended to thoroughly read the documentation around the adaptive function you are using.**\n",
    "\n",
    "We will use the `optimize.minimize` function (note this is passed by reference as opposed to calling the `minimize` function), which requires an initial state named `\"x0\"` and an algorithm to use named `\"method\"`.\n",
    "In this case, we are starting at `[-50, -50]` and hope to minimize these values relative to our parabola function.\n",
    "Of course, this parabola has its global minimum at the origin, thus these values will tend towards 0 as our algorithm progresses."
   ]
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     "text": [
      "Running adaptively...\n",
      "."
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      "/usr/local/lib/python3.9/site-packages/qcodes_loop/plots/pyqtgraph.py:420: UserWarning: zero setpoint range passed to pyqtgraph. ignoring, using default scaling.\n",
      "  warnings.warn('zero setpoint range passed to pyqtgraph. '\n"
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    "meas_ctrl.settables([para.x, para.y])\n",
    "af_pars = {\n",
    "    \"adaptive_function\": optimize.minimize,  # used by meas_ctrl\n",
    "    \"x0\": [-50, -50],  # used by `optimize.minimize` (in this case)\n",
    "    \"method\": \"Nelder-Mead\",  # used by `optimize.minimize` (in this case)\n",
    "    \"options\": {\"maxfev\": 100},  # limit the maximum evaluations of the gettable(s)\n",
    "}\n",
    "para.noise(0.5)\n",
    "meas_ctrl.gettables(para.amp)\n",
    "dset = meas_ctrl.run_adaptive(\"nelder_mead_optimization\", af_pars)"
   ]
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   "cell_type": "code",
   "execution_count": 6,
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       "}\n",
       "\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: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B -50.0 -52.5 -50.0 ... -0.2129 -0.2125 -0.212\n",
       "    x1       (dim_0) float64 800B -50.0 -50.0 -52.5 ... 0.1981 0.1983 0.1986\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 5e+03 5.257e+03 5.257e+03 ... 0.2828 0.2907\n",
       "Attributes:\n",
       "    tuid:                             20250818-113147-027-2ed941\n",
       "    name:                             nelder_mead_optimization\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True</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-8aa93811-f276-422d-a712-71837898f413' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8aa93811-f276-422d-a712-71837898f413' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-86374504-f46d-400f-81da-6ae37b88e6fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86374504-f46d-400f-81da-6ae37b88e6fc' 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>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-50.0 -52.5 ... -0.2125 -0.212</div><input id='attrs-fe1c2c8c-7f12-4622-bac4-98932e127e43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe1c2c8c-7f12-4622-bac4-98932e127e43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9bd6a2d-fc69-412f-b982-2a2f5c6cf08b' class='xr-var-data-in' type='checkbox'><label for='data-f9bd6a2d-fc69-412f-b982-2a2f5c6cf08b' 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>parabola.x</dd><dt><span>long_name :</span></dt><dd>parabola X</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([-5.00000000e+01, -5.25000000e+01, -5.00000000e+01, -4.75000000e+01,\n",
       "       -4.75000000e+01, -4.62500000e+01, -4.87500000e+01, -4.93750000e+01,\n",
       "       -4.56250000e+01, -4.34375000e+01, -4.65625000e+01, -4.67187500e+01,\n",
       "       -4.07812500e+01, -3.64843750e+01, -3.97656250e+01, -2.95312500e+01,\n",
       "       -2.62500000e+01, -1.94921875e+01, -2.64453125e+01, -9.45312500e+00,\n",
       "        4.06250000e+00,  1.10156250e+01, -1.70800781e+01,  6.47460938e+00,\n",
       "        2.76171875e+01, -5.90576172e+00, -8.31787109e+00,  2.77648926e+00,\n",
       "        1.27447510e+01, -1.24313354e+00,  4.28771973e-02,  2.09308624e+00,\n",
       "       -3.21254730e+00,  2.24373817e+00, -1.09248161e+00, -2.68526554e+00,\n",
       "        2.39439011e+00, -3.33752632e-01, -3.66997242e+00,  7.65310526e-01,\n",
       "        1.52403951e+00, -4.38351333e-01, -1.53741449e+00,  1.89629272e-01,\n",
       "        8.50305706e-02, -2.29056831e-01,  3.98923773e-01,  1.89604997e-01,\n",
       "       -2.29032557e-01, -4.38351333e-01,  1.89653547e-01, -1.24379237e-01,\n",
       "        8.49759520e-02, -7.20404397e-02, -1.97016424e-02, -1.76705897e-01,\n",
       "       -3.86036811e-01, -4.38363471e-01, -3.72949077e-01, -2.42120290e-01,\n",
       "       -3.40241880e-01, -3.07534684e-01, -3.00990817e-01, -2.22488690e-01,\n",
       "       -1.50530429e-01, -1.88145526e-01, -2.25760623e-01, -2.65011687e-01,\n",
       "       -2.68283620e-01, -2.36391372e-01, -2.00412242e-01, -1.68112520e-01,\n",
       "       -1.93053426e-01, -2.03887913e-01, -2.25556886e-01, -2.09305156e-01,\n",
       "       -2.20139643e-01, -2.12013778e-01, -1.83393463e-01, -2.17622783e-01,\n",
       "       -2.06213010e-01, -2.20523167e-01, -2.26323935e-01, -2.11240741e-01,\n",
       "       -2.16268472e-01, -2.09113394e-01, -2.04858699e-01, -2.07711142e-01,\n",
       "       -2.10563586e-01, -2.14141125e-01, -2.15591317e-01, -2.14334384e-01,\n",
       "       -2.13077451e-01, -2.11288682e-01, -2.13802547e-01, -2.11917148e-01,\n",
       "       -2.13174081e-01, -2.12859848e-01, -2.12545615e-01, -2.11965463e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-50.0 -50.0 -52.5 ... 0.1983 0.1986</div><input id='attrs-7978f2ec-411a-47c6-8e9a-702598ecea5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7978f2ec-411a-47c6-8e9a-702598ecea5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-526ec34a-1bb6-4be3-927a-995f9bf8a92d' class='xr-var-data-in' type='checkbox'><label for='data-526ec34a-1bb6-4be3-927a-995f9bf8a92d' 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>parabola.y</dd><dt><span>long_name :</span></dt><dd>parabola Y</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([-5.00000000e+01, -5.00000000e+01, -5.25000000e+01, -5.25000000e+01,\n",
       "       -5.00000000e+01, -4.87500000e+01, -4.62500000e+01, -4.31250000e+01,\n",
       "       -4.18750000e+01, -3.78125000e+01, -3.21875000e+01, -2.39062500e+01,\n",
       "       -1.85937500e+01, -6.32812500e+00,  7.57812500e+00,  2.51562500e+01,\n",
       "        1.12500000e+01,  1.30859375e+01, -1.83984375e+01,  1.01562500e+00,\n",
       "        4.68750000e+00,  3.61718750e+01, -4.75585938e+00, -1.31542969e+01,\n",
       "       -3.71093750e+00, -4.49462891e+00,  1.33471680e+01, -6.52893066e+00,\n",
       "        2.65319824e+00, -2.70767212e+00,  8.50875854e+00, -2.76950836e+00,\n",
       "       -1.01646805e+01,  9.74454880e-01,  1.03629112e+00,  2.93919086e+00,\n",
       "        4.71841812e+00, -8.51149559e-01, -7.89313316e-01,  5.33512831e-01,\n",
       "       -1.35392785e+00,  4.38736379e-01, -9.45926011e-01,  1.63653120e-01,\n",
       "        1.45353906e+00, -2.74977405e-01, -5.50060663e-01, -3.02861403e-01,\n",
       "        1.91537119e-01,  4.38736379e-01,  6.30167644e-01, -4.86911426e-02,\n",
       "        4.03881381e-01,  6.44519884e-02,  1.77595119e-01,  7.14229880e-02,\n",
       "        8.53649870e-02,  2.05479118e-01,  1.71965085e-01,  1.04937020e-01,\n",
       "        1.55208069e-01,  1.38451053e-01,  1.81751102e-01,  2.34837168e-01,\n",
       "        2.44623184e-01,  2.28905164e-01,  2.13187143e-01,  1.86644110e-01,\n",
       "        1.64994086e-01,  2.01138879e-01,  2.06031887e-01,  2.15725775e-01,\n",
       "        1.96430127e-01,  1.97607315e-01,  1.99961691e-01,  1.98195909e-01,\n",
       "        1.99373097e-01,  1.98490206e-01,  2.12984974e-01,  1.96899082e-01,\n",
       "        2.02261046e-01,  1.95013662e-01,  1.91242822e-01,  1.99506490e-01,\n",
       "        1.96751934e-01,  2.00375626e-01,  2.02113898e-01,  2.00773407e-01,\n",
       "        1.99432916e-01,  1.97621070e-01,  1.96678360e-01,  1.97366999e-01,\n",
       "        1.98055638e-01,  1.98961561e-01,  1.97584283e-01,  1.98617241e-01,\n",
       "        1.97928602e-01,  1.98100762e-01,  1.98272922e-01,  1.98553724e-01])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43f0d451-d8a0-4474-9024-443b052369de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43f0d451-d8a0-4474-9024-443b052369de' 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>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5e+03 5.257e+03 ... 0.2828 0.2907</div><input id='attrs-351ad00f-5043-4019-9001-15242027027c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-351ad00f-5043-4019-9001-15242027027c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cea0e1b1-90b4-458c-9bb9-08132e90a5d0' class='xr-var-data-in' type='checkbox'><label for='data-cea0e1b1-90b4-458c-9bb9-08132e90a5d0' 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>amp</dd><dt><span>long_name :</span></dt><dd>Amplitude</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([5.00044862e+03, 5.25659848e+03, 5.25654465e+03, 5.01264253e+03,\n",
       "       4.75656097e+03, 4.51606341e+03, 4.51566968e+03, 4.29767696e+03,\n",
       "       3.83563218e+03, 3.31678998e+03, 3.20430036e+03, 2.75438587e+03,\n",
       "       2.00931856e+03, 1.37116188e+03, 1.63887368e+03, 1.50508133e+03,\n",
       "       8.15714947e+02, 5.51308831e+02, 1.03828917e+03, 9.08581462e+01,\n",
       "       3.89377184e+01, 1.43016679e+03, 3.14384024e+02, 2.15044191e+02,\n",
       "       7.76719570e+02, 5.53283911e+01, 2.47418012e+02, 5.07282929e+01,\n",
       "       1.69808527e+02, 9.15393134e+00, 7.28656892e+01, 1.24605944e+01,\n",
       "       1.13816491e+02, 6.31201419e+00, 2.40612167e+00, 1.60066302e+01,\n",
       "       2.83264052e+01, 1.06037682e+00, 1.42081469e+01, 1.26739882e+00,\n",
       "       4.52648452e+00, 7.11932726e-01, 3.71100969e+00, 1.90621605e-01,\n",
       "       2.53049382e+00, 3.67641429e-01, 6.24244878e-01, 5.24000526e-01,\n",
       "       1.23976206e-01, 8.09655700e-01, 6.02839269e-01, 2.98865760e-01,\n",
       "       3.51788504e-01, 3.44022359e-01, 4.36091376e-01, 4.03917452e-01,\n",
       "       2.31501098e-01, 3.11642286e-01, 2.80158469e-01, 4.20951339e-01,\n",
       "       3.73916805e-01, 5.08305825e-01, 3.98744649e-01, 3.03998296e-01,\n",
       "       3.23957639e-01, 5.51108076e-01, 5.62931953e-01, 3.25462565e-01,\n",
       "       5.97109954e-01, 2.86140550e-01, 1.10820153e-01, 4.66065767e-01,\n",
       "       1.98476689e-01, 1.30308879e-01, 1.56525198e-01, 1.24608748e-01,\n",
       "       4.39614681e-01, 9.22782786e-02, 1.67605319e-01, 4.06188928e-01,\n",
       "       2.98202298e-01, 1.70726998e-01, 4.46019893e-01, 4.27062156e-01,\n",
       "       5.50171789e-01, 2.49517628e-01, 3.96197239e-01, 4.59009306e-01,\n",
       "       4.11391555e-01, 2.26970735e-01, 2.42127615e-01, 3.50021628e-01,\n",
       "       1.83119794e-01, 3.89518451e-01, 4.56870524e-01, 3.87506749e-01,\n",
       "       1.90702819e-01, 3.75608139e-01, 2.82755920e-01, 2.90703582e-01])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d47fd2e7-b730-4738-a2ab-8c8ec18ef6d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d47fd2e7-b730-4738-a2ab-8c8ec18ef6d1' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-96aea2f9-7b78-47fc-9450-a9114d85c9a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96aea2f9-7b78-47fc-9450-a9114d85c9a7' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20250818-113147-027-2ed941</dd><dt><span>name :</span></dt><dd>nelder_mead_optimization</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>True</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B -50.0 -52.5 -50.0 ... -0.2129 -0.2125 -0.212\n",
       "    x1       (dim_0) float64 800B -50.0 -50.0 -52.5 ... 0.1981 0.1983 0.1986\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 5e+03 5.257e+03 5.257e+03 ... 0.2828 0.2907\n",
       "Attributes:\n",
       "    tuid:                             20250818-113147-027-2ed941\n",
       "    name:                             nelder_mead_optimization\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8733dbaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x79262c50e220>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.main_QtPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f082765c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x79262c50e280>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.secondary_QtPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dacd3b6c",
   "metadata": {},
   "source": [
    "We can see from the graphs that the values of the settables in the dataset snake towards 0 as expected. Success!\n",
    "\n",
    "### Analysis\n",
    "\n",
    "There are several analysis classes available in `quantify-core` that can be used to visualize and extract relevant information from the results of these adaptive measurements.\n",
    "\n",
    "The {class}`~quantify_core.analysis.optimization_analysis.OptimizationAnalysis` class searches the dataset for the optimal datapoint and provides a number of useful plots to visualize the convergence of the measurement result around the minimum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35a9c0d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a_obj = oa.OptimizationAnalysis(dset)\n",
    "a_obj.run()\n",
    "a_obj.display_figs_mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7aaf2250",
   "metadata": {},
   "source": [
    "The analysis generates plots of each of the variables versus the number of iteration steps completed. The figures show the data converging on the optimal value.\n",
    "\n",
    "The {class}`~quantify_core.analysis.interpolation_analysis.InterpolationAnalysis2D` class can be used to generate a 2-dimensional heatmap that interpolates between a set of irregularly spaced datapoints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8f010339",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a_obj = InterpolationAnalysis2D(dset)\n",
    "a_obj.run()\n",
    "a_obj.display_figs_mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6be8ebb3",
   "metadata": {},
   "source": [
    "## Adaptive Sampling\n",
    "\n",
    "Quantify is designed to be modular and the adaptive functions support is no different. To this end, the `meas_ctrl` has first-class support for the `adaptive` package.\n",
    "Let's see what the same experiment looks like with this module. Note the fields of the `af_pars` dictionary have changed to be compatible with the different adaptive functions that we are using.\n",
    "\n",
    "As a practical example, let's revisit a Resonator Spectroscopy experiment. This time we only know our device has a resonance in 6-7 GHz range.\n",
    "We really don't want to sweep through a million points, so instead let's use an adaptive sampler to quickly locate our peak."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "075258bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qcodes.parameters.parameter.Parameter: S21 at 133204775959088>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = Instrument(\"Resonator\")\n",
    "\n",
    "res.add_parameter(\"freq\", unit=\"Hz\", label=\"Frequency\", parameter_class=ManualParameter)\n",
    "res.add_parameter(\"amp\", unit=\"V\", label=\"Amplitude\", parameter_class=ManualParameter)\n",
    "_fwhm = 15e6  # pretend you don't know what this value is\n",
    "_res_freq = 6.78e9  # pretend you don't know what this value is\n",
    "_noise_level = 0.1\n",
    "\n",
    "\n",
    "def lorenz():\n",
    "    \"\"\"A Lorenz model function.\"\"\"\n",
    "    time.sleep(0.02)  # for display purposes, just so we can watch the graph update\n",
    "    return (\n",
    "        1\n",
    "        - (\n",
    "            res.amp()\n",
    "            * ((_fwhm / 2.0) ** 2)\n",
    "            / ((res.freq() - _res_freq) ** 2 + (_fwhm / 2.0) ** 2)\n",
    "        )\n",
    "        + _noise_level * np.random.rand(1)\n",
    "    )\n",
    "\n",
    "\n",
    "res.add_parameter(\"S21\", unit=\"V\", label=\"Transmission amp. S21\", get_cmd=lorenz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "312542e3",
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running adaptively...\n",
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    }
   ],
   "source": [
    "_noise_level = 0.0\n",
    "res.amp(1)\n",
    "meas_ctrl.settables([res.freq])\n",
    "af_pars = {\n",
    "    \"adaptive_function\": adaptive.learner.Learner1D,\n",
    "    \"goal\": lambda l: l.npoints > 99,\n",
    "    \"bounds\": (6.0e9, 7.0e9),\n",
    "}\n",
    "meas_ctrl.gettables(res.S21)\n",
    "dset = meas_ctrl.run_adaptive(\"adaptive sample\", af_pars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "41581199",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B 6e+09 7e+09 6.5e+09 ... 6.77e+09 6.754e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 0.9999 0.9988 0.9993 ... 0.6186 0.6391 0.9237\n",
       "Attributes:\n",
       "    tuid:                             20250818-113201-092-d2d55d\n",
       "    name:                             adaptive sample\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True</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-e53bec17-982d-496c-8361-2742ca135897' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e53bec17-982d-496c-8361-2742ca135897' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8dca1d9d-b9ca-4f63-9ad9-4007ebe29001' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8dca1d9d-b9ca-4f63-9ad9-4007ebe29001' class='xr-section-summary' >Coordinates: <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>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6e+09 7e+09 ... 6.77e+09 6.754e+09</div><input id='attrs-85f9b8ed-ffbe-4f97-b50d-89cdc93ad653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f9b8ed-ffbe-4f97-b50d-89cdc93ad653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-835b1b5b-a684-4ec1-aef4-2b259f009eda' class='xr-var-data-in' type='checkbox'><label for='data-835b1b5b-a684-4ec1-aef4-2b259f009eda' 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>Resonator.freq</dd><dt><span>long_name :</span></dt><dd>Resonator Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([6.00000000e+09, 7.00000000e+09, 6.50000000e+09, 6.25000000e+09,\n",
       "       6.75000000e+09, 6.62500000e+09, 6.87500000e+09, 6.68750000e+09,\n",
       "       6.81250000e+09, 6.71875000e+09, 6.84375000e+09, 6.73437500e+09,\n",
       "       6.82812500e+09, 6.74218750e+09, 6.82031250e+09, 6.74609375e+09,\n",
       "       6.81640625e+09, 6.37500000e+09, 6.12500000e+09, 6.74804688e+09,\n",
       "       6.72656250e+09, 6.73828125e+09, 6.83593750e+09, 6.81445312e+09,\n",
       "       6.82421875e+09, 6.78125000e+09, 6.79687500e+09, 6.76562500e+09,\n",
       "       6.78906250e+09, 6.77343750e+09, 6.78515625e+09, 6.77734375e+09,\n",
       "       6.76953125e+09, 6.77539062e+09, 6.78320312e+09, 6.78710938e+09,\n",
       "       6.79296875e+09, 6.77148438e+09, 6.78417969e+09, 6.77636719e+09,\n",
       "       6.77441406e+09, 6.79101562e+09, 6.75781250e+09, 6.78613281e+09,\n",
       "       6.77246094e+09, 6.78222656e+09, 6.76757812e+09, 6.93750000e+09,\n",
       "       6.56250000e+09, 6.43750000e+09, 6.31250000e+09, 6.18750000e+09,\n",
       "       6.06250000e+09, 6.78808594e+09, 6.80468750e+09, 6.76171875e+09,\n",
       "       6.77050781e+09, 6.79003906e+09, 6.79492188e+09, 6.77929688e+09,\n",
       "       6.77832031e+09, 6.77587891e+09, 6.78466797e+09, 6.78369141e+09,\n",
       "       6.77490234e+09, 6.80078125e+09, 6.78564453e+09, 6.77685547e+09,\n",
       "       6.77392578e+09, 6.78271484e+09, 6.78662109e+09, 6.76855469e+09,\n",
       "       6.76367188e+09, 6.77294922e+09, 6.79199219e+09, 6.78759766e+09,\n",
       "       6.77783203e+09, 6.65625000e+09, 6.90625000e+09, 6.59375000e+09,\n",
       "       6.96875000e+09, 6.53125000e+09, 6.46875000e+09, 6.40625000e+09,\n",
       "       6.34375000e+09, 6.28125000e+09, 6.21875000e+09, 6.15625000e+09,\n",
       "       6.09375000e+09, 6.03125000e+09, 6.77197266e+09, 6.78857422e+09,\n",
       "       6.78173828e+09, 6.76660156e+09, 6.77099609e+09, 6.79394531e+09,\n",
       "       6.79882812e+09, 6.78955078e+09, 6.77001953e+09, 6.75390625e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07c7189d-674e-4213-89c8-258fcdc4b41b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07c7189d-674e-4213-89c8-258fcdc4b41b' 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>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9999 0.9988 ... 0.6391 0.9237</div><input id='attrs-5a5f7255-7f10-43b0-92af-1547bb9d6785' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a5f7255-7f10-43b0-92af-1547bb9d6785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5097ef6-a185-4686-989d-6cbe881a4533' class='xr-var-data-in' type='checkbox'><label for='data-b5097ef6-a185-4686-989d-6cbe881a4533' 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>S21</dd><dt><span>long_name :</span></dt><dd>Transmission amp. S21</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([0.99990755, 0.99883916, 0.99928304, 0.99979979, 0.94117647,\n",
       "       0.99766416, 0.99380592, 0.9934688 , 0.9494382 , 0.98522774,\n",
       "       0.98634812, 0.97368902, 0.97628849, 0.9621476 , 0.96654469,\n",
       "       0.95335371, 0.95928825, 0.99965718, 0.99986891, 0.94778382,\n",
       "       0.98068216, 0.96869267, 0.9823405 , 0.95475633, 0.97203646,\n",
       "       0.02702703, 0.83505155, 0.78603269, 0.59350741, 0.43362832,\n",
       "       0.32095491, 0.11145391, 0.66082732, 0.27415925, 0.15426264,\n",
       "       0.47328113, 0.74937452, 0.56316064, 0.23697556, 0.19003362,\n",
       "       0.35679514, 0.68326632, 0.89745416, 0.40071204, 0.50259739,\n",
       "       0.08099619, 0.73284633, 0.99773756, 0.99881235, 0.99952072,\n",
       "       0.9997427 , 0.99983979, 0.99989075, 0.53754093, 0.91550535,\n",
       "       0.85593697, 0.61565168, 0.64179453, 0.79832374, 0.00871249,\n",
       "       0.04776173, 0.23190799, 0.27921516, 0.19500811, 0.31599382,\n",
       "       0.88475967, 0.36159877, 0.14950657, 0.3961102 , 0.11584931,\n",
       "       0.43799952, 0.69959173, 0.82577462, 0.46915691, 0.71883795,\n",
       "       0.50646803, 0.07711373, 0.99634035, 0.99648334, 0.99838108,\n",
       "       0.99842361, 0.99909176, 0.9994197 , 0.99959748, 0.99970452,\n",
       "       0.99977392, 0.99982146, 0.99985544, 0.99988057, 0.99989968,\n",
       "       0.53392314, 0.56653154, 0.05097923, 0.76141813, 0.59037383,\n",
       "       0.7756477 , 0.86305482, 0.61855982, 0.63909863, 0.92369092])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-192f6086-626c-4adb-938c-d40c45ed02ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-192f6086-626c-4adb-938c-d40c45ed02ef' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ff051c4d-e6d2-4408-ba5a-71d2635a44fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff051c4d-e6d2-4408-ba5a-71d2635a44fd' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20250818-113201-092-d2d55d</dd><dt><span>name :</span></dt><dd>adaptive sample</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>True</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B 6e+09 7e+09 6.5e+09 ... 6.77e+09 6.754e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 0.9999 0.9988 0.9993 ... 0.6186 0.6391 0.9237\n",
       "Attributes:\n",
       "    tuid:                             20250818-113201-092-d2d55d\n",
       "    name:                             adaptive sample\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8f2e3381",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x79262c50e220>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.main_QtPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0795fee",
   "metadata": {},
   "source": [
    "## FAQ\n",
    "\n",
    "### Can I return multi-dimensional data from a Gettable in Adaptive Mode?\n",
    "\n",
    "Yes, but only the first dimension (`y0`) will be considered by the adaptive function;\n",
    "the remaining dimensions will merely be saved to the dataset."
   ]
  }
 ],
 "metadata": {
  "file_format": "mystnb",
  "jupytext": {
   "text_representation": {
    "extension": ".md",
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  "kernelspec": {
   "display_name": "python3",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.23"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}