semistructured_grids.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "edf38393-4c8a-4b35-935d-066fe2735b5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import yt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ef07508b-29de-4ca9-bb6a-e97e69fbfbc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m\n",
       "\u001b[0myt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_hexahedral_mesh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mconnectivity\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcoordinates\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlength_unit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mbbox\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msim_time\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmass_unit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtime_unit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvelocity_unit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmagnetic_unit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mperiodicity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mgeometry\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'cartesian'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0munit_system\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'cgs'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Load a hexahedral mesh of data into yt as a\n",
       ":class:`~yt.frontends.stream.data_structures.StreamHandler`.\n",
       "\n",
       "This should allow a semistructured grid of data to be loaded directly into\n",
       "yt and analyzed as would any others.  This comes with several caveats:\n",
       "\n",
       "* Units will be incorrect unless the data has already been converted to\n",
       "  cgs.\n",
       "* Some functions may behave oddly, and parallelism will be\n",
       "  disappointing or non-existent in most cases.\n",
       "* Particles may be difficult to integrate.\n",
       "\n",
       "Particle fields are detected as one-dimensional fields. The number of particles\n",
       "is set by the \"number_of_particles\" key in data.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "data : dict\n",
       "    This is a dict of numpy arrays, where the keys are the field names.\n",
       "    There must only be one. Note that the data in the numpy arrays should\n",
       "    define the cell-averaged value for of the quantity in in the hexahedral\n",
       "    cell.\n",
       "connectivity : array_like\n",
       "    This should be of size (N,8) where N is the number of zones.\n",
       "coordinates : array_like\n",
       "    This should be of size (M,3) where M is the number of vertices\n",
       "    indicated in the connectivity matrix.\n",
       "bbox : array_like (xdim:zdim, LE:RE), optional\n",
       "    Size of computational domain in units of the length unit.\n",
       "sim_time : float, optional\n",
       "    The simulation time in seconds\n",
       "mass_unit : string\n",
       "    Unit to use for masses.  Defaults to unitless.\n",
       "time_unit : string\n",
       "    Unit to use for times.  Defaults to unitless.\n",
       "velocity_unit : string\n",
       "    Unit to use for velocities.  Defaults to unitless.\n",
       "magnetic_unit : string\n",
       "    Unit to use for magnetic fields. Defaults to unitless.\n",
       "periodicity : tuple of booleans\n",
       "    Determines whether the data will be treated as periodic along\n",
       "    each axis\n",
       "geometry : string or tuple\n",
       "    \"cartesian\", \"cylindrical\", \"polar\", \"spherical\", \"geographic\" or\n",
       "    \"spectral_cube\".  Optionally, a tuple can be provided to specify the\n",
       "    axis ordering -- for instance, to specify that the axis ordering should\n",
       "    be z, x, y, this would be: (\"cartesian\", (\"z\", \"x\", \"y\")).  The same\n",
       "    can be done for other coordinates, for instance:\n",
       "    (\"spherical\", (\"theta\", \"phi\", \"r\")).\n",
       "\u001b[0;31mFile:\u001b[0m      ~/yt/yt/yt/loaders.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yt.load_hexahedral_mesh?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e7ce9417-af3b-4b2f-852f-4164a109be5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "x, y, z = (np.random.normal(size=65) for i in range(3))\n",
    "\n",
    "x = (x - x.min())/(x.max()-x.min())\n",
    "y = (y - y.min())/(y.max()-y.min())\n",
    "z = (z - z.min())/(z.max()-z.min())\n",
    "\n",
    "x.sort()\n",
    "y.sort()\n",
    "z.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1cb3ec3a-e2fc-4db6-b902-273a93f9b4e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:08,558 Parameters: current_time              = 0.0\n",
      "yt : [INFO     ] 2021-11-23 11:13:08,560 Parameters: domain_dimensions         = [64 64 64]\n",
      "yt : [INFO     ] 2021-11-23 11:13:08,562 Parameters: domain_left_edge          = [0. 0. 0.]\n",
      "yt : [INFO     ] 2021-11-23 11:13:08,563 Parameters: domain_right_edge         = [1. 1. 1.]\n",
      "yt : [INFO     ] 2021-11-23 11:13:08,564 Parameters: cosmological_simulation   = 0\n"
     ]
    }
   ],
   "source": [
    "coord, conn = yt.hexahedral_connectivity(x, y, z)\n",
    "\n",
    "rnd_vals = np.random.random((64,64,64))\n",
    "\n",
    "ds = yt.load_hexahedral_mesh({'density': rnd_vals}, conn, coord, bbox = np.array([[0.0, 1.0], [0.0, 1.0], [0.0, 1.0]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "00e19d8f-d678-478d-91f8-f9bffbab56a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mturk/yt/yt/yt/data_objects/data_containers.py:1404: VisibleDeprecationWarning: The requested field name 'density' is ambiguous and corresponds to any one of the following field types:\n",
      " {'gas'}\n",
      "Please specify the requested field as an explicit tuple (ftype, fname).\n",
      "Defaulting to '(\"gas\", \"density\")'.\n",
      "Deprecated since v4.0.0. This feature will be removed in v4.1.0\n",
      "  finfo = self.ds._get_field_info(field)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "unyt_array([0.12573352, 0.44606174, 0.0502099 , ..., 0.33568428,\n",
       "            0.18318502, 0.73357213], 'g/cm**3')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[\"density\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ac7e4c4c-b4a9-4725-a32b-1182d1a04996",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:09,158 xlim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2021-11-23 11:13:09,158 ylim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2021-11-23 11:13:09,161 Making a fixed resolution buffer of (density) 800 by 800\n",
      "yt : [INFO     ] 2021-11-23 11:13:09,285 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
     ]
    },
    {
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\"><br>"
      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7fc03a7f28e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\"><br>"
      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7fc03a7f28e0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[0.5,:,:].plot(\"density\").set_log(\"all\", False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b5a9bad2-7e24-477e-ad1f-0e92e14784eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:11,813 xlim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2021-11-23 11:13:11,814 ylim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2021-11-23 11:13:11,818 Making a fixed resolution buffer of (radius) 800 by 800\n",
      "yt : [INFO     ] 2021-11-23 11:13:11,980 Making a fixed resolution buffer of (('index', 'radius')) 800 by 800\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img style=\"max-width:100%;max-height:100%;\" 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      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7fc038a48e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\"><br>"
      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7fc038a48e50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[0.5,:,:].plot(\"radius\").set_log(\"all\", False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c2b686a7-c98e-41de-9ba7-2ef3bec4721b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mturk/yt/yt/yt/data_objects/data_containers.py:1404: VisibleDeprecationWarning: The requested field name 'cell_volume' is ambiguous and corresponds to any one of the following field types:\n",
      " {'stream', 'gas'}\n",
      "Please specify the requested field as an explicit tuple (ftype, fname).\n",
      "Defaulting to '(\"index\", \"cell_volume\")'.\n",
      "Deprecated since v4.0.0. This feature will be removed in v4.1.0\n",
      "  finfo = self.ds._get_field_info(field)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "unyt_quantity(1., 'cm**3')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[:].sum(\"cell_volume\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6f9b643e-fe06-4c9f-9313-8748d6336146",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:13,598 Parameters: current_time              = 0.0\n",
      "yt : [INFO     ] 2021-11-23 11:13:13,600 Parameters: domain_dimensions         = [64 64 64]\n",
      "yt : [INFO     ] 2021-11-23 11:13:13,603 Parameters: domain_left_edge          = [0. 0. 0.]\n",
      "yt : [INFO     ] 2021-11-23 11:13:13,605 Parameters: domain_right_edge         = [1.         3.14159265 6.28318531]\n",
      "yt : [INFO     ] 2021-11-23 11:13:13,606 Parameters: cosmological_simulation   = 0\n"
     ]
    }
   ],
   "source": [
    "r = x.copy()\n",
    "theta = y.copy() * np.pi\n",
    "phi = z.copy() * 2 * np.pi\n",
    "coords, conns = yt.hexahedral_connectivity(r, theta, phi)\n",
    "rnd_vals = np.random.random((64,64,64))\n",
    "ds = yt.load_hexahedral_mesh({'density': rnd_vals}, conns, coords, bbox = np.array([[0.0, 1.0], [0.0, np.pi], [0.0, 2.0 * np.pi]]), geometry = \"spherical\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8053fa21-61c4-42b3-911e-df37792af37b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dd = ds.all_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ff8defcb-4cb7-4b96-8826-ba293baeea52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unyt_array([[0.04182281, 0.05216004, 1.08099141],\n",
       "            [0.04182281, 0.05216004, 0.01477137],\n",
       "            [0.04182281, 0.05216004, 0.03595895],\n",
       "            ...,\n",
       "            [0.15746652, 0.04157364, 0.21504452],\n",
       "            [0.15746652, 0.04157364, 0.17441809],\n",
       "            [0.15746652, 0.04157364, 0.2925098 ]], 'code_length')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd.fwidth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0f0d1a6b-57ad-4b32-9479-f7193b68f6fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:14,276 Sample dataset found in '/data/yt_sample_data/IsolatedGalaxy/galaxy0030/galaxy0030'\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,444 Parameters: current_time              = 0.0060000200028298\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,446 Parameters: domain_dimensions         = [32 32 32]\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,448 Parameters: domain_left_edge          = [0. 0. 0.]\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,449 Parameters: domain_right_edge         = [1. 1. 1.]\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,450 Parameters: cosmological_simulation   = 0\n"
     ]
    }
   ],
   "source": [
    "ds_g = yt.load_sample(\"IsolatedGalaxy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "58626256-4058-4fc8-829e-478e8b75490a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Parsing Hierarchy : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 173/173 [00:00<00:00, 986.14it/s]\n",
      "yt : [INFO     ] 2021-11-23 11:13:14,654 Gathering a field list (this may take a moment.)\n"
     ]
    }
   ],
   "source": [
    "g = ds_g.index.grids[100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cde42439-e5dd-4872-9f41-73204391364d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unyt_array([0.50170898, 0.5       , 0.49804688], 'code_length')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.LeftEdge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "82acfb10-5ddd-4969-bcc9-f740beb0cdb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unyt_array([0.50463867, 0.50219727, 0.5       ], 'code_length')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.RightEdge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e150b0da-b2d0-48e9-9d36-3bb0d2e0e89b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4110, 4096, 4080])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.get_global_startindex()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a8a2896f-7e8e-44d7-a920-982c3932e6ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.Level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8dd5c865-01ee-48b1-bd82-9a6907fa7672",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unyt_array([0.00012207, 0.00012207, 0.00012207], 'code_length')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.dds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7ea9b67f-72f3-41a6-b410-123c00aa0b50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unyt_array([0.00012207, 0.00012207, 0.00012207], 'code_length')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_g.domain_width / (ds_g.domain_dimensions * ds_g.relative_refinement(0, g.Level))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7eef9701-78ce-4b7c-bec1-bb414440898e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.Children"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "aa0fc761-8773-4711-9ec2-25ceba517fa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2048, 2048, 2012])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.Parent.get_global_startindex()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0228e048-ba06-4d49-bd54-99d7e5e29cce",
   "metadata": {},
   "outputs": [],
   "source": [
    "dd = ds_g.all_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "66d3cba5-fbfc-4887-af29-f629d04fdb1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   0,    0,    0],\n",
       "       [   0,    0,    1],\n",
       "       [   0,    0,    2],\n",
       "       ...,\n",
       "       [4087, 4075, 4093],\n",
       "       [4087, 4075, 4094],\n",
       "       [4087, 4075, 4095]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd.icoords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ff7ecc7e-3572-4b78-8815-36bcbbf4d94a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 8, 8, 8])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd.ires"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "53c18038-5548-492d-80bc-ed936f113f42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "256"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.relative_refinement(0, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ec833e6a-eee1-44a5-8289-aeb33c831fb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2021-11-23 11:13:18,941 Projection completed\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "YTQuadTreeProj (galaxy0030): , axis=0, field=[('gas', 'density')], weight_field=None"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_g.r[:].sum(\"density\", axis=\"x\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6ee9d307-537f-4875-914b-6f510feaa1f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mturk/yt/yt/yt/data_objects/data_containers.py:1404: VisibleDeprecationWarning: The requested field name 'density' is ambiguous and corresponds to any one of the following field types:\n",
      " {'gas'}\n",
      "Please specify the requested field as an explicit tuple (ftype, fname).\n",
      "Defaulting to '(\"gas\", \"density\")'.\n",
      "Deprecated since v4.0.0. This feature will be removed in v4.1.0\n",
      "  finfo = self.ds._get_field_info(field)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "YTQuadTreeProj (HexahedralMeshData): , axis=0, field=[('gas', 'density')], weight_field=None"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[:].sum(\"density\", axis=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0c492f1f-95e8-4e15-a4a7-32d6e7306c18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<yt.frontends.stream.data_structures.StreamHexahedralHierarchy at 0x7fc03873be80>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b2a2edb7-2f0d-4c0b-b766-57f4dc35654a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SemiStructuredMesh_0000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.index.meshes[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec653160-de73-482a-8cc2-245698dfc8cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py39",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
 "nbformat": 4,
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yt.patch

diff --git a/yt/data_objects/index_subobjects/unstructured_mesh.py b/yt/data_objects/index_subobjects/unstructured_mesh.py
index 375a2ae19..e864498f7 100644
--- a/yt/data_objects/index_subobjects/unstructured_mesh.py
+++ b/yt/data_objects/index_subobjects/unstructured_mesh.py
@@ -1,4 +1,5 @@
 import numpy as np
+from yt.geometry.selection_routines import convert_mask_to_indices
 
 from yt.data_objects.selection_objects.data_selection_objects import (
     YTSelectionContainer,
@@ -163,6 +164,18 @@ class SemiStructuredMesh(UnstructuredMesh):
         elif field == "dz":
             return self._current_chunk.fwidth[:, 2]
 
+    def select_icoords(self, dobj):
+        mask = self._get_selector_mask(dobj.selector)
+        if mask is None:
+            return np.empty((0, 3), dtype="int64")
+        indices = np.unravel_index(np.where(mask), [64, 64, 64])
+        mask = np.zeros((64, 64, 64), dtype="bool")
+        mask[indices] = True
+        coords = convert_mask_to_indices(mask, self._last_count)
+        start_index = np.array([0, 0, 0], dtype="i8")
+        coords += start_index[None, :]
+        return coords
+
     def select_fwidth(self, dobj):
         mask = self._get_selector_mask(dobj.selector)
         if mask is None:
diff --git a/yt/loaders.py b/yt/loaders.py
index e63069d22..faca50925 100644
--- a/yt/loaders.py
+++ b/yt/loaders.py
@@ -805,7 +805,7 @@ def load_hexahedral_mesh(
     )
     from yt.frontends.stream.definitions import process_data, set_particle_types
 
-    domain_dimensions = np.ones(3, "int32") * 2
+    domain_dimensions = np.ones(3, "int32") * 64
     nprocs = 1
     if bbox is None:
         bbox = np.array([[0.0, 1.0], [0.0, 1.0], [0.0, 1.0]], "float64")
@@ -1157,7 +1157,7 @@ def load_unstructured_mesh(
     from yt.frontends.stream.definitions import process_data, set_particle_types
 
     dimensionality = coordinates.shape[1]
-    domain_dimensions = np.ones(3, "int32") * 2
+    domain_dimensions = np.ones(3, "int32") * 64
     nprocs = 1
 
     if elem_data is None and node_data is None: