Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2017-06-09 09:46:41,620 Parameters: current_time              = 0.0\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,621 Parameters: domain_dimensions         = [32 32 32]\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,623 Parameters: domain_left_edge          = [ 0.  0.  0.]\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,624 Parameters: domain_right_edge         = [ 1.  1.  1.]\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,626 Parameters: cosmological_simulation   = 0.0\n"
     ]
    }
   ],
   "source": [
    "import yt\n",
    "import numpy as np\n",
    "\n",
    "data = dict(density=np.random.random((32, 32, 32)))\n",
    "\n",
    "ds = yt.load_uniform_grid(data, domain_dimensions=(32, 32, 32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2017-06-09 09:46:41,863 xlim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,864 ylim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,865 xlim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,867 ylim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2017-06-09 09:46:41,879 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n"
     ]
    },
    {
     "data": {
      "text/html": [
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\"><br>"
      ],
      "text/plain": [
       "<yt.visualization.plot_window.AxisAlignedSlicePlot at 0x10abe5668>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot = yt.SlicePlot(ds, 2, 'density')\n",
    "plot.set_axes_unit('unitary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}