README.md

Demo Jupyter notebook for remote data access with globus

CSGF+!.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CSGF +1 Demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#data_store = \"alcf#dtn_mira/projects/alpha-nek/experiments/\"\n",
    "data_store = \"maxhutch#alpha-admin/pub/\"\n",
    "data_set   = \"Wilk/Wilk_kmin_2.5/Wilk_kmin_2.5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from glopen import glopen\n",
    "import json\n",
    "with glopen(\"{:s}.json\".format(data_set), mode='r', endpoint=data_store) as f:\n",
    "    p = json.load(f)\n",
    "print(json.dumps(p, indent=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from chest import Chest\n",
    "from glopen import glopen_many\n",
    "from functools import partial\n",
    "c = Chest(\n",
    "        path      = \"{:s}-results\".format(data_set),\n",
    "        open      = partial(glopen, endpoint=data_store),\n",
    "        open_many = partial(glopen_many, endpoint=data_store)\n",
    "         )\n",
    "print(list(c.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from slict import CachedSlict\n",
    "sc = CachedSlict(c)\n",
    "frame = sc[0.3940801163614,:]\n",
    "print(frame.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(frame['t_yz'].transpose());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.imshow(frame['t_yz'].transpose(), origin='lower', extent=[0,1,-1,1]);"
   ]
  }
 ],
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   "display_name": "Python 3",
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    "name": "ipython",
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