{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: nbAgg\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab \n",
    "from nugridpy import nugridse as mp\n",
    "from nugridpy import mesa as ms\n",
    "\n",
    "data_dir=\"/data/nugrid_apod2/\"    \n",
    "#data_dir=\"/data/nugrid_vos/\"    \n",
    "\n",
    "ms.set_nugrid_path(data_dir)\n",
    "mp.set_nugrid_path(data_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nugridpy import ascii_table as at"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dcols=['Z', 'species','mass fraction']\n",
    "z=[10,1,2,3]\n",
    "names=['ne 21','ne 21','ne 21','ne 21']\n",
    "abu = [0.1,0.2,0.3,0.4]\n",
    "data=[z,names,abu]\n",
    "hd=[\"info about this initial abundance\"]\n",
    "outfile='iniab.dat'\n",
    "%rm iniab.dat\n",
    "at.write(outfile,hd,dcols,data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%less iniab.dat\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}