{ "cells": [ { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "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": [ "7" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " drive_number date time driver t n \\\n", "0 0 2023-11-07 09:47:23 TimeDriver 2.500000e-11 25.0 \n", "1 1 2023-11-07 09:47:24 TimeDriver 1.500000e-11 15.0 \n", "2 2 2023-11-07 09:47:24 TimeDriver 5.000000e-10 250.0 \n", "3 3 2023-11-07 09:47:25 RelaxDriver NaN NaN \n", "4 4 2023-11-07 09:47:26 MinDriver NaN NaN \n", "5 5 2023-11-07 09:47:26 TimeDriver 5.000000e-12 5.0 \n", "6 6 2023-11-07 09:47:26 MinDriver NaN NaN \n", "\n", " n_threads \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 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[6]" ] }, { "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": [ "14" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "drive.n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'drive_number': 6,\n", " 'date': '2023-11-07',\n", " 'time': '09:47:26',\n", " 'driver': 'MinDriver',\n", " 'n_threads': None}" ] }, "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": [ "'iteration'" ] }, "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': '2023-11-07',\n", " 'time': '09:47:26',\n", " 'driver': 'MinDriver',\n", " 'n_threads': None}" ] }, "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 total_atlas\n", "Specify Oxs_BoxAtlas:total_atlas {\n", " xrange { -5e-08 5e-08 }\n", " yrange { -2.5e-08 2.5e-08 }\n", " zrange { 0.0 2e-08 }\n", " name total\n", "}\n", "\n", "# BoxAtlas for entire_atlas\n", "Specify Oxs_BoxAtlas:entire_atlas {\n", " xrange { -5e-08 5e-08 }\n", " yrange { -2.5e-08 2.5e-08 }\n", " zrange { 0.0 2e-08 }\n", " name entire\n", "}\n", "\n", "# MultiAtlas\n", "Specify Oxs_MultiAtlas:main_atlas {\n", " atlas :total_atlas\n", " atlas :entire_atlas\n", " xrange { -5e-08 5e-08 }\n", " yrange { -2.5e-08 2.5e-08 }\n", " zrange { 0.0 2e-08 }\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", "# 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 Step 1\n", "Schedule Oxs_MinDriver::Magnetization mags Step 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": [ "Field\n", "" ], "text/plain": [ "Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=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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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "drive.table.mpl(y=[\"mx\", \"my\", \"mz\"])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "14" ] }, "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": [ "Field\n", "" ], "text/plain": [ "Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=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(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m),\n", " Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m)]" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(drive)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also select a parts of the data and get a new drive, e.g. every second of the first 10 elements." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "tags": [ "nbval-ignore-output" ] }, "outputs": [ { "data": { "text/plain": [ "OOMMFDrive(name='system_name', number=6, dirname='../micromagneticdata/tests/test_sample', x='iteration')" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "drive_selection = drive[:10:2]\n", "drive_selection" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "5" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "drive_selection.n" ] }, { "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": 20, "metadata": {}, "outputs": [], "source": [ "# drive.ovf2vtk()" ] }, { "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": 21, "metadata": { "tags": [ "nbval-ignore-output" ] }, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'field' (iteration: 14, x: 20, y: 10, z: 4, vdims: 3)>\n",
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       "\n",
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       "\n",
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       "          [ 3.50067876e+05,  6.98022376e+05,  1.73831082e+05],\n",
       "          [ 3.50067876e+05,  6.98022376e+05,  1.73831082e+05],\n",
       "...\n",
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       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05]],\n",
       "\n",
       "         ...,\n",
       "\n",
       "         [[-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05]],\n",
       "\n",
       "         [[-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05]],\n",
       "\n",
       "         [[-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05],\n",
       "          [-3.33701946e-06, -6.65389694e-06,  8.00000000e+05]]]]])\n",
       "Coordinates:\n",
       "  * x          (x) float64 -4.75e-08 -4.25e-08 -3.75e-08 ... 4.25e-08 4.75e-08\n",
       "  * y          (y) float64 -2.25e-08 -1.75e-08 -1.25e-08 ... 1.75e-08 2.25e-08\n",
       "  * z          (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n",
       "  * vdims      (vdims) <U1 'x' 'y' 'z'\n",
       "  * iteration  (iteration) float64 0.0 1.0 2.0 3.0 4.0 ... 10.0 11.0 12.0 13.0\n",
       "Attributes:\n",
       "    drive_number:  6\n",
       "    date:          2023-11-07\n",
       "    time:          09:47:26\n",
       "    driver:        MinDriver\n",
       "    n_threads:     None
" ], "text/plain": [ "\n", "array([[[[[ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05]],\n", "\n", " [[ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05]],\n", "\n", " [[ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05]],\n", "\n", " ...,\n", "\n", " [[ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", " [ 3.50067876e+05, 6.98022376e+05, 1.73831082e+05],\n", "...\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05]],\n", "\n", " ...,\n", "\n", " [[-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05]],\n", "\n", " [[-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05]],\n", "\n", " [[-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05],\n", " [-3.33701946e-06, -6.65389694e-06, 8.00000000e+05]]]]])\n", "Coordinates:\n", " * x (x) float64 -4.75e-08 -4.25e-08 -3.75e-08 ... 4.25e-08 4.75e-08\n", " * y (y) float64 -2.25e-08 -1.75e-08 -1.25e-08 ... 1.75e-08 2.25e-08\n", " * z (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n", " * vdims (vdims) Field\n", "
    \n", " \n", "
  • Mesh\n", "
      \n", "
    • Region\n", "
        \n", "
      • pmin = [-5e-08, -2.5e-08, 0.0]
      • \n", "
      • pmax = [5e-08, 2.5e-08, 2e-08]
      • \n", "
      • dims = ['x', 'y', 'z']
      • \n", "
      • units = ['m', 'm', 'm']
      • \n", "
    • \n", "
    • n = [20, 10, 4]
    • \n", "
    • subregions:\n", "
        \n", "
      • Region total\n", "
          \n", "
        • pmin = [-5e-08, -2.5e-08, 0.0]
        • \n", "
        • pmax = [5e-08, 2.5e-08, 2e-08]
        • \n", "
        • dims = ['x', 'y', 'z']
        • \n", "
        • units = ['m', 'm', 'm']
        • \n", "
      • \n", "
    • \n", "
  • \n", "
  • nvdim = 3
  • \n", "
  • vdims:\n", "
    • x
    • \n", "
    • y
    • \n", "
    • z
    • \n", "
    \n", "
  • \n", "
  • unit = None
  • \n", "
" ], "text/plain": [ "Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=None)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "combined.m0" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "290" ] }, "execution_count": 26, "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": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "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": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "Field\n", "
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  • Mesh\n", "
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        \n", "
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      • \n", "
      • pmax = [5e-08, 2.5e-08, 2e-08]
      • \n", "
      • dims = ['x', 'y', 'z']
      • \n", "
      • units = ['m', 'm', 'm']
      • \n", "
    • \n", "
    • n = [20, 10, 4]
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    • subregions:\n", "
        \n", "
      • Region total\n", "
          \n", "
        • pmin = [-5e-08, -2.5e-08, 0.0]
        • \n", "
        • pmax = [5e-08, 2.5e-08, 2e-08]
        • \n", "
        • dims = ['x', 'y', 'z']
        • \n", "
        • units = ['m', 'm', 'm']
        • \n", "
      • \n", "
    • \n", "
  • \n", "
  • nvdim = 3
  • \n", "
  • vdims:\n", "
    • x
    • \n", "
    • y
    • \n", "
    • z
    • \n", "
    \n", "
  • \n", "
  • unit = A/m
  • \n", "
" ], "text/plain": [ "Field(Mesh(Region(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 10, 4], subregions: (Region`total`(pmin=[-5e-08, -2.5e-08, 0.0], pmax=[5e-08, 2.5e-08, 2e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']))), nvdim=3, vdims: (x, y, z), unit=A/m)" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "combined[15]" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'t'" ] }, "execution_count": 29, "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": 30, "metadata": { "tags": [ "nbval-ignore-output" ] }, "outputs": [ { "data": { "text/html": [ "
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       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
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       "          [ -27584.49540021,  658579.77501927,  453334.06616874]],\n",
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       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
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       "\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",
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       "         [[ -27584.49540021,  658579.77501927,  453334.06616874],\n",
       "          [ -27584.49540021,  658579.77501927,  453334.06616874],\n",
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       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125]],\n",
       "\n",
       "         ...,\n",
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       "         [[ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125]],\n",
       "\n",
       "         [[ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125]],\n",
       "\n",
       "         [[ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125],\n",
       "          [ 797212.875     ,  -51317.65625   ,   42639.36328125]]]]])\n",
       "Coordinates:\n",
       "  * x        (x) float64 -4.75e-08 -4.25e-08 -3.75e-08 ... 4.25e-08 4.75e-08\n",
       "  * y        (y) float64 -2.25e-08 -1.75e-08 -1.25e-08 ... 1.75e-08 2.25e-08\n",
       "  * z        (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n",
       "  * vdims    (vdims) <U1 'x' 'y' 'z'\n",
       "  * t        (t) float64 1e-12 2e-12 3e-12 ... 5.423e-10 5.445e-10 5.466e-10\n",
       "Attributes:\n",
       "    drive_numbers:  [0, 1, 2]\n",
       "    driver:         TimeDriver
" ], "text/plain": [ "\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", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125]],\n", "\n", " ...,\n", "\n", " [[ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125]],\n", "\n", " [[ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125]],\n", "\n", " [[ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125],\n", " [ 797212.875 , -51317.65625 , 42639.36328125]]]]])\n", "Coordinates:\n", " * x (x) float64 -4.75e-08 -4.25e-08 -3.75e-08 ... 4.25e-08 4.75e-08\n", " * y (y) float64 -2.25e-08 -1.75e-08 -1.25e-08 ... 1.75e-08 2.25e-08\n", " * z (z) float64 2.5e-09 7.5e-09 1.25e-08 1.75e-08\n", " * vdims (vdims)