{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysing simulation results\n",
    "\n",
    "With `micromagneticdata` we can analyse simulation results created with `oommfc`. This notebook summarises the available functionality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import micromagneticdata as md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a set of example simulations stored in the test directory of `micromagneticdata` that we use to demonstrate its functionality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirname = os.path.join(\"..\", \"micromagneticdata\", \"tests\", \"test_sample\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `Data`\n",
    "First, we creata a `Data` object. We need to pass the name of the `micromagneticmodel.System` that we used to run the simulation and optionally an additional path to the base directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = md.Data(name=\"system_name\", dirname=dirname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `Data` object contains all simulation runs of the `System`. These are called drives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drive_number</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>driver</th>\n",
       "      <th>t</th>\n",
       "      <th>n</th>\n",
       "      <th>Hmin</th>\n",
       "      <th>Hmax</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:44</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.500000e-11</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:45</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>1.500000e-11</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:45</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>5.000000e-12</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:46</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:46</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>5.000000e-12</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:46</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>2022-02-11</td>\n",
       "      <td>12:51:47</td>\n",
       "      <td>HysteresisDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>[0, 0, 1000000.0]</td>\n",
       "      <td>[0, 0, -1000000.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>2022-06-19</td>\n",
       "      <td>16:15:06</td>\n",
       "      <td>RelaxDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>2022-06-19</td>\n",
       "      <td>16:15:07</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>2022-06-19</td>\n",
       "      <td>16:15:08</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>5.000000e-09</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   drive_number        date      time            driver             t     n  \\\n",
       "0             0  2022-02-11  12:51:44        TimeDriver  2.500000e-11  25.0   \n",
       "1             1  2022-02-11  12:51:45        TimeDriver  1.500000e-11  15.0   \n",
       "2             2  2022-02-11  12:51:45        TimeDriver  5.000000e-12  10.0   \n",
       "3             3  2022-02-11  12:51:46         MinDriver           NaN   NaN   \n",
       "4             4  2022-02-11  12:51:46        TimeDriver  5.000000e-12   5.0   \n",
       "5             5  2022-02-11  12:51:46         MinDriver           NaN   NaN   \n",
       "6             6  2022-02-11  12:51:47  HysteresisDriver           NaN  21.0   \n",
       "7             7  2022-06-19  16:15:06       RelaxDriver           NaN   NaN   \n",
       "8             8  2022-06-19  16:15:07         MinDriver           NaN   NaN   \n",
       "9             9  2022-06-19  16:15:08        TimeDriver  5.000000e-09  10.0   \n",
       "\n",
       "                Hmin                Hmax  \n",
       "0                NaN                 NaN  \n",
       "1                NaN                 NaN  \n",
       "2                NaN                 NaN  \n",
       "3                NaN                 NaN  \n",
       "4                NaN                 NaN  \n",
       "5                NaN                 NaN  \n",
       "6  [0, 0, 1000000.0]  [0, 0, -1000000.0]  \n",
       "7                NaN                 NaN  \n",
       "8                NaN                 NaN  \n",
       "9                NaN                 NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `Drive`\n",
    "To access one `Drive` we can index the `Data` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "drive = data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `Drive` object has a number of properties containing information about the drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'drive_number': 0,\n",
       " 'date': '2022-02-11',\n",
       " 'time': '12:51:44',\n",
       " 'driver': 'TimeDriver',\n",
       " 't': 2.5e-11,\n",
       " 'n': 25}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "drive = data[6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'B_hysteresis'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'drive_number': 6,\n",
       " 'date': '2022-02-11',\n",
       " 'time': '12:51:47',\n",
       " 'driver': 'HysteresisDriver',\n",
       " 'Hmin': [0, 0, 1000000.0],\n",
       " 'Hmax': [0, 0, -1000000.0],\n",
       " 'n': 21}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# MIF 2.2\n",
      "\n",
      "SetOptions {\n",
      "  basename system_name\n",
      "  scalar_output_format %.12g\n",
      "  scalar_field_output_format {binary 8}\n",
      "  vector_field_output_format {binary 8}\n",
      "}\n",
      "\n",
      "# BoxAtlas for main_atlas\n",
      "Specify Oxs_BoxAtlas:main_atlas {\n",
      "  xrange { 0.0 1e-07 }\n",
      "  yrange { 0.0 5e-08 }\n",
      "  zrange { 0.0 2e-08 }\n",
      "  name main\n",
      "}\n",
      "\n",
      "# RectangularMesh\n",
      "Specify Oxs_RectangularMesh:mesh {\n",
      "  cellsize { 5e-09 5e-09 5e-09 }\n",
      "  atlas :main_atlas\n",
      "}\n",
      "\n",
      "# UniformExchange\n",
      "Specify Oxs_UniformExchange:exchange {\n",
      "  A 1.3e-11\n",
      "}\n",
      "\n",
      "# FixedZeeman\n",
      "Specify Oxs_FixedZeeman:zeeman {\n",
      "  field {0.0 0.0 1000000.0}\n",
      "}\n",
      "\n",
      "# m0 file\n",
      "Specify Oxs_FileVectorField:m0 {\n",
      "  file m0.omf\n",
      "  atlas :main_atlas\n",
      "}\n",
      "\n",
      "# m0_norm\n",
      "Specify Oxs_VecMagScalarField:m0_norm {\n",
      "    field :m0\n",
      "}\n",
      "\n",
      "# CGEvolver\n",
      "Specify Oxs_CGEvolve:evolver {\n",
      "}\n",
      "\n",
      "# OxS_UZeeman\n",
      "Specify Oxs_UZeeman:hysteresis {\n",
      "  Hrange {\n",
      "    { 0 0 1000000.0 0 0 -1000000.0 20 }\n",
      "    { 0 0 -1000000.0 0 0 1000000.0 20 }\n",
      "  }\n",
      "}\n",
      "\n",
      "# MinDriver\n",
      "Specify Oxs_MinDriver {\n",
      "  evolver :evolver\n",
      "  mesh :mesh\n",
      "  Ms :m0_norm\n",
      "  m0 :m0\n",
      "  stopping_mxHxm 0.1\n",
      "}\n",
      "\n",
      "Destination table mmArchive\n",
      "Destination mags mmArchive\n",
      "\n",
      "Schedule DataTable table Stage 1\n",
      "Schedule Oxs_MinDriver::Magnetization mags Stage 1\n"
     ]
    }
   ],
   "source": [
    "print(drive.calculator_script)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The initial magnetisation can be obtained with `m0`. It returns a `discretisedfield.Field` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>Field</strong>\n",
       "<ul>\n",
       "  \n",
       "  <li><strong>Mesh</strong>\n",
       "<ul>\n",
       "  <li><strong>Region</strong>\n",
       "<ul>\n",
       "  <li>p1 = (0.0, 0.0, 0.0)</li>\n",
       "  <li>p2 = (1e-07, 5e-08, 2e-08)</li>\n",
       "</ul></li>\n",
       "  <li>n = (20, 10, 4)</li>\n",
       "  <li>attributes:\n",
       "    <ul>\n",
       "      <li>unit: m</li>\n",
       "      <li>fourierspace: False</li>\n",
       "      <li>isplane: False</li>\n",
       "      </ul>\n",
       "  </li>\n",
       "</ul></li>\n",
       "  <li>dim = 3</li>\n",
       "  <li>components:\n",
       "      <ul><li>x</li>\n",
       "        <li>y</li>\n",
       "        <li>z</li>\n",
       "        </ul>\n",
       "    </li>\n",
       "  <li>units = None</li>\n",
       "  </ul>"
      ],
      "text/plain": [
       "Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=None)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.m0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scalar data of the drive can be accessed via the `table` property that returns a `ubermagtable.Table` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "drive.table.mpl(x=\"B_hysteresis\", y=[\"mx\", \"my\", \"mz\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can access the magnetisation at a single step or iterate over the drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>Field</strong>\n",
       "<ul>\n",
       "  \n",
       "  <li><strong>Mesh</strong>\n",
       "<ul>\n",
       "  <li><strong>Region</strong>\n",
       "<ul>\n",
       "  <li>p1 = (0.0, 0.0, 0.0)</li>\n",
       "  <li>p2 = (1e-07, 5e-08, 2e-08)</li>\n",
       "</ul></li>\n",
       "  <li>n = (20, 10, 4)</li>\n",
       "  <li>attributes:\n",
       "    <ul>\n",
       "      <li>unit: m</li>\n",
       "      <li>fourierspace: False</li>\n",
       "      <li>isplane: False</li>\n",
       "      </ul>\n",
       "  </li>\n",
       "</ul></li>\n",
       "  <li>dim = 3</li>\n",
       "  <li>components:\n",
       "      <ul><li>x</li>\n",
       "        <li>y</li>\n",
       "        <li>z</li>\n",
       "        </ul>\n",
       "    </li>\n",
       "  <li>units = A/m</li>\n",
       "  </ul>"
      ],
      "text/plain": [
       "Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(drive)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is possible to convert all magnetisation files into vtk for visualisation e.g. in Paraview."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drive.ovf2vtk()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'drive_number': 8,\n",
       " 'date': '2022-06-19',\n",
       " 'time': '16:15:07',\n",
       " 'driver': 'MinDriver'}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[-2].info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[-2].n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[-2].table.mpl(y=[\"mx\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can convert a drive into an `xarray.DataArray`. An additional dimension is added depending on the type of drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
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       "  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",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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.DataArray &#x27;field&#x27; (t: 15, x: 20, y: 10, z: 4, comp: 3)&gt;\n",
       "array([[[[[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "...\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]]]]])\n",
       "Coordinates:\n",
       "  * x        (x) float64 2.5e-09 7.5e-09 1.25e-08 ... 8.75e-08 9.25e-08 9.75e-08\n",
       "  * y        (y) float64 2.5e-09 7.5e-09 1.25e-08 ... 3.75e-08 4.25e-08 4.75e-08\n",
       "  * z        (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n",
       "  * comp     (comp) &lt;U1 &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
       "  * t        (t) float64 1e-12 2e-12 3e-12 4e-12 ... 1.3e-11 1.4e-11 1.5e-11\n",
       "Attributes:\n",
       "    units:         A/m\n",
       "    cell:          (5e-09, 5e-09, 5e-09)\n",
       "    p1:            (0.0, 0.0, 0.0)\n",
       "    p2:            (1e-07, 5e-08, 2e-08)\n",
       "    drive_number:  1\n",
       "    date:          2022-02-11\n",
       "    time:          12:51:45\n",
       "    driver:        TimeDriver\n",
       "    t:             1.5e-11\n",
       "    n:             15</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'field'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 15</li><li><span class='xr-has-index'>x</span>: 20</li><li><span class='xr-has-index'>y</span>: 10</li><li><span class='xr-has-index'>z</span>: 4</li><li><span class='xr-has-index'>comp</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7177f31b-7354-475d-b5cb-5d62fa161fbb' class='xr-array-in' type='checkbox' checked><label for='section-7177f31b-7354-475d-b5cb-5d62fa161fbb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.544e+05 7.85e+05 -4.875e+03 ... 1.904e+05 -7.747e+05 6.041e+04</span></div><div class='xr-array-data'><pre>array([[[[[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "...\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]],\n",
       "\n",
       "         [[ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
       "          [ 190354.11016335, -774671.87412542,   60405.29929506]]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-805d908a-bab0-44de-abf6-941aa9b887cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-805d908a-bab0-44de-abf6-941aa9b887cf' class='xr-section-summary' >Coordinates: <span>(5)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 9.75e-08</div><input id='attrs-24a05271-4fd1-4c29-b504-14f89bd20375' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a05271-4fd1-4c29-b504-14f89bd20375' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ed0016f-9e2c-4f0b-9948-ad50e236f91d' class='xr-var-data-in' type='checkbox'><label for='data-5ed0016f-9e2c-4f0b-9948-ad50e236f91d' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08, 5.25e-08, 5.75e-08, 6.25e-08, 6.75e-08,\n",
       "       7.25e-08, 7.75e-08, 8.25e-08, 8.75e-08, 9.25e-08, 9.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 4.75e-08</div><input id='attrs-308d78bd-dbe4-4801-b261-923ce93123df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-308d78bd-dbe4-4801-b261-923ce93123df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b0b5c5-7b37-4bb9-9d81-3502416f1048' class='xr-var-data-in' type='checkbox'><label for='data-a2b0b5c5-7b37-4bb9-9d81-3502416f1048' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 1.25e-08 1.75e-08</div><input id='attrs-cdd44192-6abf-430a-b532-28a0021442af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdd44192-6abf-430a-b532-28a0021442af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dbfe92a-a720-4b86-a3d3-6160869117fd' class='xr-var-data-in' type='checkbox'><label for='data-1dbfe92a-a720-4b86-a3d3-6160869117fd' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>comp</span></div><div class='xr-var-dims'>(comp)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-78b969a2-b6df-4dc6-8eb4-0bfd17fbdbf5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78b969a2-b6df-4dc6-8eb4-0bfd17fbdbf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3325fc2-78f9-4d6a-bf7e-181cdec40895' class='xr-var-data-in' type='checkbox'><label for='data-f3325fc2-78f9-4d6a-bf7e-181cdec40895' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-12 2e-12 ... 1.4e-11 1.5e-11</div><input id='attrs-ae83eb9b-b9fa-42d0-abe1-e1cbf652abbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae83eb9b-b9fa-42d0-abe1-e1cbf652abbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d11045f-d5ef-4cc6-ba55-4cf651bd0430' class='xr-var-data-in' type='checkbox'><label for='data-5d11045f-d5ef-4cc6-ba55-4cf651bd0430' 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>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([1.0e-12, 2.0e-12, 3.0e-12, 4.0e-12, 5.0e-12, 6.0e-12, 7.0e-12, 8.0e-12,\n",
       "       9.0e-12, 1.0e-11, 1.1e-11, 1.2e-11, 1.3e-11, 1.4e-11, 1.5e-11])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5734f633-4987-49a1-8d0f-9f4502badfa1' class='xr-section-summary-in' type='checkbox'  ><label for='section-5734f633-4987-49a1-8d0f-9f4502badfa1' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A/m</dd><dt><span>cell :</span></dt><dd>(5e-09, 5e-09, 5e-09)</dd><dt><span>p1 :</span></dt><dd>(0.0, 0.0, 0.0)</dd><dt><span>p2 :</span></dt><dd>(1e-07, 5e-08, 2e-08)</dd><dt><span>drive_number :</span></dt><dd>1</dd><dt><span>date :</span></dt><dd>2022-02-11</dd><dt><span>time :</span></dt><dd>12:51:45</dd><dt><span>driver :</span></dt><dd>TimeDriver</dd><dt><span>t :</span></dt><dd>1.5e-11</dd><dt><span>n :</span></dt><dd>15</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'field' (t: 15, x: 20, y: 10, z: 4, comp: 3)>\n",
       "array([[[[[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
       "          [ 154351.17218212,  784953.47212361,   -4874.65353606]],\n",
       "\n",
       "         [[ 154351.17218212,  784953.47212361,   -4874.65353606],\n",
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       "\n",
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       "          [ 190354.11016335, -774671.87412542,   60405.29929506],\n",
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       "    p2:            (1e-07, 5e-08, 2e-08)\n",
       "    drive_number:  1\n",
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       "    time:          12:51:45\n",
       "    driver:        TimeDriver\n",
       "    t:             1.5e-11\n",
       "    n:             15"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[1].to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;field&#x27; (x: 20, y: 20, z: 1, comp: 3)&gt;\n",
       "array([[[[ 7.00675188e+05, -3.86075438e+05, -3.13346771e+02]],\n",
       "\n",
       "        [[ 6.65048812e+05, -4.44646031e+05, -3.13106323e+02]],\n",
       "\n",
       "        [[ 6.19320000e+05, -5.06401781e+05, -3.33644318e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525266e+05, -7.80505750e+05, -1.27177136e+03]],\n",
       "\n",
       "        [[-2.24762719e+05, -7.67775938e+05, -1.33155176e+03]],\n",
       "\n",
       "        [[-2.59434703e+05, -7.56763812e+05, -1.46627930e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.21049375e+05, -3.46536844e+05, -2.86615723e+02]],\n",
       "\n",
       "        [[ 6.93671875e+05, -3.98521406e+05, -2.90904022e+02]],\n",
       "\n",
       "        [[ 6.55573312e+05, -4.58501469e+05, -3.17528809e+02]],\n",
       "...\n",
       "        [[-2.16536406e+05,  7.70136438e+05, -1.38442407e+03]],\n",
       "\n",
       "        [[-2.78445031e+05,  7.49977562e+05, -1.43108533e+03]],\n",
       "\n",
       "        [[-3.26508750e+05,  7.30335250e+05, -1.55219861e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.00675125e+05,  3.86075406e+05, -3.13348938e+02]],\n",
       "\n",
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       "\n",
       "        [[ 6.19319938e+05,  5.06401781e+05, -3.33647583e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525281e+05,  7.80505812e+05, -1.27177051e+03]],\n",
       "\n",
       "        [[-2.24762781e+05,  7.67776000e+05, -1.33154993e+03]],\n",
       "\n",
       "        [[-2.59434719e+05,  7.56763812e+05, -1.46627563e+03]]]])\n",
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       "  * z        (z) float64 2.5e-09\n",
       "  * comp     (comp) &lt;U1 &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
       "Attributes:\n",
       "    units:         A/m\n",
       "    cell:          (5e-09, 5e-09, 5e-09)\n",
       "    p1:            (0.0, 0.0, 0.0)\n",
       "    p2:            (1e-07, 1e-07, 5e-09)\n",
       "    drive_number:  8\n",
       "    date:          2022-06-19\n",
       "    time:          16:15:07\n",
       "    driver:        MinDriver</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'field'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 20</li><li><span class='xr-has-index'>y</span>: 20</li><li><span class='xr-has-index'>z</span>: 1</li><li><span class='xr-has-index'>comp</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b11cb9c4-fc16-40eb-a635-abc007350874' class='xr-array-in' type='checkbox' checked><label for='section-b11cb9c4-fc16-40eb-a635-abc007350874' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.007e+05 -3.861e+05 -313.3 ... -2.594e+05 7.568e+05 -1.466e+03</span></div><div class='xr-array-data'><pre>array([[[[ 7.00675188e+05, -3.86075438e+05, -3.13346771e+02]],\n",
       "\n",
       "        [[ 6.65048812e+05, -4.44646031e+05, -3.13106323e+02]],\n",
       "\n",
       "        [[ 6.19320000e+05, -5.06401781e+05, -3.33644318e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525266e+05, -7.80505750e+05, -1.27177136e+03]],\n",
       "\n",
       "        [[-2.24762719e+05, -7.67775938e+05, -1.33155176e+03]],\n",
       "\n",
       "        [[-2.59434703e+05, -7.56763812e+05, -1.46627930e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.21049375e+05, -3.46536844e+05, -2.86615723e+02]],\n",
       "\n",
       "        [[ 6.93671875e+05, -3.98521406e+05, -2.90904022e+02]],\n",
       "\n",
       "        [[ 6.55573312e+05, -4.58501469e+05, -3.17528809e+02]],\n",
       "...\n",
       "        [[-2.16536406e+05,  7.70136438e+05, -1.38442407e+03]],\n",
       "\n",
       "        [[-2.78445031e+05,  7.49977562e+05, -1.43108533e+03]],\n",
       "\n",
       "        [[-3.26508750e+05,  7.30335250e+05, -1.55219861e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.00675125e+05,  3.86075406e+05, -3.13348938e+02]],\n",
       "\n",
       "        [[ 6.65048812e+05,  4.44646062e+05, -3.13108154e+02]],\n",
       "\n",
       "        [[ 6.19319938e+05,  5.06401781e+05, -3.33647583e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525281e+05,  7.80505812e+05, -1.27177051e+03]],\n",
       "\n",
       "        [[-2.24762781e+05,  7.67776000e+05, -1.33154993e+03]],\n",
       "\n",
       "        [[-2.59434719e+05,  7.56763812e+05, -1.46627563e+03]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-c0d00c9d-a06e-4058-82db-025679d5c723' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0d00c9d-a06e-4058-82db-025679d5c723' class='xr-section-summary' >Coordinates: <span>(4)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 9.75e-08</div><input id='attrs-12068bdf-c82d-422c-a9c9-05cec08cda39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12068bdf-c82d-422c-a9c9-05cec08cda39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-127e9847-09bd-4147-b207-933a7ae9e3ba' class='xr-var-data-in' type='checkbox'><label for='data-127e9847-09bd-4147-b207-933a7ae9e3ba' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08, 5.25e-08, 5.75e-08, 6.25e-08, 6.75e-08,\n",
       "       7.25e-08, 7.75e-08, 8.25e-08, 8.75e-08, 9.25e-08, 9.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 9.75e-08</div><input id='attrs-e61c0b6d-f1bc-484a-bc15-4b9d97d57782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e61c0b6d-f1bc-484a-bc15-4b9d97d57782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff3987a-43fb-438e-892e-f6959d791ce2' class='xr-var-data-in' type='checkbox'><label for='data-8ff3987a-43fb-438e-892e-f6959d791ce2' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08, 5.25e-08, 5.75e-08, 6.25e-08, 6.75e-08,\n",
       "       7.25e-08, 7.75e-08, 8.25e-08, 8.75e-08, 9.25e-08, 9.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09</div><input id='attrs-4b11d7cc-45d7-4fad-8c20-52397ce0ea30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b11d7cc-45d7-4fad-8c20-52397ce0ea30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6f6a210-c00e-4f03-870a-7fa8d1d8485a' class='xr-var-data-in' type='checkbox'><label for='data-d6f6a210-c00e-4f03-870a-7fa8d1d8485a' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.5e-09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>comp</span></div><div class='xr-var-dims'>(comp)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-62e01d71-ddda-476a-bd90-94dd175d7331' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62e01d71-ddda-476a-bd90-94dd175d7331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d73e039-74bc-4561-8c40-b20f0205e85c' class='xr-var-data-in' type='checkbox'><label for='data-8d73e039-74bc-4561-8c40-b20f0205e85c' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3df3960c-8f27-459c-99c1-484328381b59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3df3960c-8f27-459c-99c1-484328381b59' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A/m</dd><dt><span>cell :</span></dt><dd>(5e-09, 5e-09, 5e-09)</dd><dt><span>p1 :</span></dt><dd>(0.0, 0.0, 0.0)</dd><dt><span>p2 :</span></dt><dd>(1e-07, 1e-07, 5e-09)</dd><dt><span>drive_number :</span></dt><dd>8</dd><dt><span>date :</span></dt><dd>2022-06-19</dd><dt><span>time :</span></dt><dd>16:15:07</dd><dt><span>driver :</span></dt><dd>MinDriver</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'field' (x: 20, y: 20, z: 1, comp: 3)>\n",
       "array([[[[ 7.00675188e+05, -3.86075438e+05, -3.13346771e+02]],\n",
       "\n",
       "        [[ 6.65048812e+05, -4.44646031e+05, -3.13106323e+02]],\n",
       "\n",
       "        [[ 6.19320000e+05, -5.06401781e+05, -3.33644318e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525266e+05, -7.80505750e+05, -1.27177136e+03]],\n",
       "\n",
       "        [[-2.24762719e+05, -7.67775938e+05, -1.33155176e+03]],\n",
       "\n",
       "        [[-2.59434703e+05, -7.56763812e+05, -1.46627930e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.21049375e+05, -3.46536844e+05, -2.86615723e+02]],\n",
       "\n",
       "        [[ 6.93671875e+05, -3.98521406e+05, -2.90904022e+02]],\n",
       "\n",
       "        [[ 6.55573312e+05, -4.58501469e+05, -3.17528809e+02]],\n",
       "...\n",
       "        [[-2.16536406e+05,  7.70136438e+05, -1.38442407e+03]],\n",
       "\n",
       "        [[-2.78445031e+05,  7.49977562e+05, -1.43108533e+03]],\n",
       "\n",
       "        [[-3.26508750e+05,  7.30335250e+05, -1.55219861e+03]]],\n",
       "\n",
       "\n",
       "       [[[ 7.00675125e+05,  3.86075406e+05, -3.13348938e+02]],\n",
       "\n",
       "        [[ 6.65048812e+05,  4.44646062e+05, -3.13108154e+02]],\n",
       "\n",
       "        [[ 6.19319938e+05,  5.06401781e+05, -3.33647583e+02]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-1.75525281e+05,  7.80505812e+05, -1.27177051e+03]],\n",
       "\n",
       "        [[-2.24762781e+05,  7.67776000e+05, -1.33154993e+03]],\n",
       "\n",
       "        [[-2.59434719e+05,  7.56763812e+05, -1.46627563e+03]]]])\n",
       "Coordinates:\n",
       "  * x        (x) float64 2.5e-09 7.5e-09 1.25e-08 ... 8.75e-08 9.25e-08 9.75e-08\n",
       "  * y        (y) float64 2.5e-09 7.5e-09 1.25e-08 ... 8.75e-08 9.25e-08 9.75e-08\n",
       "  * z        (z) float64 2.5e-09\n",
       "  * comp     (comp) <U1 'x' 'y' 'z'\n",
       "Attributes:\n",
       "    units:         A/m\n",
       "    cell:          (5e-09, 5e-09, 5e-09)\n",
       "    p1:            (0.0, 0.0, 0.0)\n",
       "    p2:            (1e-07, 1e-07, 5e-09)\n",
       "    drive_number:  8\n",
       "    date:          2022-06-19\n",
       "    time:          16:15:07\n",
       "    driver:        MinDriver"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[-2].to_xarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `CombinedDrive`\n",
    "\n",
    "Multiple drives can be concatenated to create one \"longer\" drive. This can e.g. be convenient to analyse multiple consecutive time drives. Combining drives is done via the `<<` operator which appends the right-hand-side drive to the left-hand-side drive. It returns a new `CombinedDrive` object that behaves very similar to the `Drive` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CombinedDrive(\n",
       "  OOMMFDrive(name='system_name', number=0, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       "  OOMMFDrive(name='system_name', number=1, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       "  OOMMFDrive(name='system_name', number=2, dirname='../micromagneticdata/tests/test_sample', x='t')\n",
       ")"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined = data[0] << data[1] << data[2]\n",
    "combined"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The combined drive has a property `drives` that provides a list of all individual drives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(OOMMFDrive(name='system_name', number=0, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       " OOMMFDrive(name='system_name', number=1, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       " OOMMFDrive(name='system_name', number=2, dirname='../micromagneticdata/tests/test_sample', x='t'))"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.drives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'drive_numbers': [0, 1, 2], 'driver': 'TimeDriver'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have direct access to the initial magnetisation of the first drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>Field</strong>\n",
       "<ul>\n",
       "  \n",
       "  <li><strong>Mesh</strong>\n",
       "<ul>\n",
       "  <li><strong>Region</strong>\n",
       "<ul>\n",
       "  <li>p1 = (0.0, 0.0, 0.0)</li>\n",
       "  <li>p2 = (1e-07, 5e-08, 2e-08)</li>\n",
       "</ul></li>\n",
       "  <li>n = (20, 10, 4)</li>\n",
       "  <li>attributes:\n",
       "    <ul>\n",
       "      <li>unit: m</li>\n",
       "      <li>fourierspace: False</li>\n",
       "      <li>isplane: False</li>\n",
       "      </ul>\n",
       "  </li>\n",
       "</ul></li>\n",
       "  <li>dim = 3</li>\n",
       "  <li>components:\n",
       "      <ul><li>x</li>\n",
       "        <li>y</li>\n",
       "        <li>z</li>\n",
       "        </ul>\n",
       "    </li>\n",
       "  <li>units = None</li>\n",
       "  </ul>"
      ],
      "text/plain": [
       "Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=None)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.m0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The combined drive has one large table that contains the data for all individual drives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.table.mpl(y=[\"mx\", \"my\", \"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can iterate over the drives in the combined drive or access a single element."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>Field</strong>\n",
       "<ul>\n",
       "  \n",
       "  <li><strong>Mesh</strong>\n",
       "<ul>\n",
       "  <li><strong>Region</strong>\n",
       "<ul>\n",
       "  <li>p1 = (0.0, 0.0, 0.0)</li>\n",
       "  <li>p2 = (1e-07, 5e-08, 2e-08)</li>\n",
       "</ul></li>\n",
       "  <li>n = (20, 10, 4)</li>\n",
       "  <li>attributes:\n",
       "    <ul>\n",
       "      <li>unit: m</li>\n",
       "      <li>fourierspace: False</li>\n",
       "      <li>isplane: False</li>\n",
       "      </ul>\n",
       "  </li>\n",
       "</ul></li>\n",
       "  <li>dim = 3</li>\n",
       "  <li>components:\n",
       "      <ul><li>x</li>\n",
       "        <li>y</li>\n",
       "        <li>z</li>\n",
       "        </ul>\n",
       "    </li>\n",
       "  <li>units = A/m</li>\n",
       "  </ul>"
      ],
      "text/plain": [
       "Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m),\n",
       " Field(Mesh(Region(p1=(0.0, 0.0, 0.0), p2=(1e-07, 5e-08, 2e-08)), n=(20, 10, 4), attributes: (unit: m, fourierspace: False, isplane: False)), dim=3, components: (x, y, z), units=A/m)]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'t'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The combined drive can be converted into an `xarray.DataArray` similar to the normal `Drive`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;field&#x27; (t: 50, x: 20, y: 10, z: 4, comp: 3)&gt;\n",
       "array([[[[[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "...\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]]]]])\n",
       "Coordinates:\n",
       "  * x        (x) float64 2.5e-09 7.5e-09 1.25e-08 ... 8.75e-08 9.25e-08 9.75e-08\n",
       "  * y        (y) float64 2.5e-09 7.5e-09 1.25e-08 ... 3.75e-08 4.25e-08 4.75e-08\n",
       "  * z        (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n",
       "  * comp     (comp) &lt;U1 &#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;\n",
       "  * t        (t) float64 1e-12 2e-12 3e-12 4e-12 ... 4.4e-11 4.45e-11 4.5e-11\n",
       "Attributes:\n",
       "    units:          A/m\n",
       "    cell:           (5e-09, 5e-09, 5e-09)\n",
       "    p1:             (0.0, 0.0, 0.0)\n",
       "    p2:             (1e-07, 5e-08, 2e-08)\n",
       "    drive_numbers:  [0, 1, 2]\n",
       "    driver:         TimeDriver</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'field'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 50</li><li><span class='xr-has-index'>x</span>: 20</li><li><span class='xr-has-index'>y</span>: 10</li><li><span class='xr-has-index'>z</span>: 4</li><li><span class='xr-has-index'>comp</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-83b12d95-0452-4cd9-bcc6-57b2d2858931' class='xr-array-in' type='checkbox' checked><label for='section-83b12d95-0452-4cd9-bcc6-57b2d2858931' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-2.758e+04 6.586e+05 4.533e+05 ... 3.458e+05 -3.498e+05 -6.309e+05</span></div><div class='xr-array-data'><pre>array([[[[[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "...\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-0a8ec74f-d11d-4a32-adc6-06f5baee050d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a8ec74f-d11d-4a32-adc6-06f5baee050d' class='xr-section-summary' >Coordinates: <span>(5)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 9.75e-08</div><input id='attrs-4030f4bb-ee14-4873-8dcd-a11bf8e9728f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4030f4bb-ee14-4873-8dcd-a11bf8e9728f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-297d6812-71d4-4763-8eb2-63f92aa16fe6' class='xr-var-data-in' type='checkbox'><label for='data-297d6812-71d4-4763-8eb2-63f92aa16fe6' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08, 5.25e-08, 5.75e-08, 6.25e-08, 6.75e-08,\n",
       "       7.25e-08, 7.75e-08, 8.25e-08, 8.75e-08, 9.25e-08, 9.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 ... 4.75e-08</div><input id='attrs-0de898ee-c7e7-4fdd-a20e-d75499c6d3bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0de898ee-c7e7-4fdd-a20e-d75499c6d3bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb98950d-0ccc-4ed3-a798-ea9d168a0d7d' class='xr-var-data-in' type='checkbox'><label for='data-bb98950d-0ccc-4ed3-a798-ea9d168a0d7d' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08, 2.25e-08, 2.75e-08, 3.25e-08,\n",
       "       3.75e-08, 4.25e-08, 4.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e-09 7.5e-09 1.25e-08 1.75e-08</div><input id='attrs-e7816226-66b2-4400-850e-9dc71c0f1398' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7816226-66b2-4400-850e-9dc71c0f1398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea1417a5-3731-4962-90cc-9a16b281d53a' class='xr-var-data-in' type='checkbox'><label for='data-ea1417a5-3731-4962-90cc-9a16b281d53a' 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>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.50e-09, 7.50e-09, 1.25e-08, 1.75e-08])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>comp</span></div><div class='xr-var-dims'>(comp)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;x&#x27; &#x27;y&#x27; &#x27;z&#x27;</div><input id='attrs-f41efefa-ed3a-4e93-89a8-a209f0109cff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f41efefa-ed3a-4e93-89a8-a209f0109cff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33bd3d80-535e-45e8-8326-a4f5ab68d032' class='xr-var-data-in' type='checkbox'><label for='data-33bd3d80-535e-45e8-8326-a4f5ab68d032' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;x&#x27;, &#x27;y&#x27;, &#x27;z&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e-12 2e-12 ... 4.45e-11 4.5e-11</div><input id='attrs-560dd2f6-483c-4fc8-a85f-7fe09e245c12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-560dd2f6-483c-4fc8-a85f-7fe09e245c12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c652742d-eb3b-484d-8f52-ea4263db0ca3' class='xr-var-data-in' type='checkbox'><label for='data-c652742d-eb3b-484d-8f52-ea4263db0ca3' 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>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([1.00e-12, 2.00e-12, 3.00e-12, 4.00e-12, 5.00e-12, 6.00e-12, 7.00e-12,\n",
       "       8.00e-12, 9.00e-12, 1.00e-11, 1.10e-11, 1.20e-11, 1.30e-11, 1.40e-11,\n",
       "       1.50e-11, 1.60e-11, 1.70e-11, 1.80e-11, 1.90e-11, 2.00e-11, 2.10e-11,\n",
       "       2.20e-11, 2.30e-11, 2.40e-11, 2.50e-11, 2.60e-11, 2.70e-11, 2.80e-11,\n",
       "       2.90e-11, 3.00e-11, 3.10e-11, 3.20e-11, 3.30e-11, 3.40e-11, 3.50e-11,\n",
       "       3.60e-11, 3.70e-11, 3.80e-11, 3.90e-11, 4.00e-11, 4.05e-11, 4.10e-11,\n",
       "       4.15e-11, 4.20e-11, 4.25e-11, 4.30e-11, 4.35e-11, 4.40e-11, 4.45e-11,\n",
       "       4.50e-11])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cc395e4-a0eb-4544-9d08-5c33e48eb8c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cc395e4-a0eb-4544-9d08-5c33e48eb8c5' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A/m</dd><dt><span>cell :</span></dt><dd>(5e-09, 5e-09, 5e-09)</dd><dt><span>p1 :</span></dt><dd>(0.0, 0.0, 0.0)</dd><dt><span>p2 :</span></dt><dd>(1e-07, 5e-08, 2e-08)</dd><dt><span>drive_numbers :</span></dt><dd>[0, 1, 2]</dd><dt><span>driver :</span></dt><dd>TimeDriver</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'field' (t: 50, x: 20, y: 10, z: 4, comp: 3)>\n",
       "array([[[[[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "...\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]],\n",
       "\n",
       "         [[ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296],\n",
       "          [ 345793.85199607, -349773.97904047, -630939.59735296]]]]])\n",
       "Coordinates:\n",
       "  * x        (x) float64 2.5e-09 7.5e-09 1.25e-08 ... 8.75e-08 9.25e-08 9.75e-08\n",
       "  * y        (y) float64 2.5e-09 7.5e-09 1.25e-08 ... 3.75e-08 4.25e-08 4.75e-08\n",
       "  * z        (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n",
       "  * comp     (comp) <U1 'x' 'y' 'z'\n",
       "  * t        (t) float64 1e-12 2e-12 3e-12 4e-12 ... 4.4e-11 4.45e-11 4.5e-11\n",
       "Attributes:\n",
       "    units:          A/m\n",
       "    cell:           (5e-09, 5e-09, 5e-09)\n",
       "    p1:             (0.0, 0.0, 0.0)\n",
       "    p2:             (1e-07, 5e-08, 2e-08)\n",
       "    drive_numbers:  [0, 1, 2]\n",
       "    driver:         TimeDriver"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.to_xarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also append an other drive to a combined drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CombinedDrive(\n",
       "  OOMMFDrive(name='system_name', number=0, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       "  OOMMFDrive(name='system_name', number=1, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       "  OOMMFDrive(name='system_name', number=2, dirname='../micromagneticdata/tests/test_sample', x='t'),\n",
       "  Mumax3Drive(name='system_name', number=9, dirname='../micromagneticdata/tests/test_sample', x='t')\n",
       ")"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined << data[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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