califa.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Abstract"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do large scale examination"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from specview.main import SView\n",
    "%gui qt\n",
    "sv = SView()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "datadir = '/Users/eisenham/Documents/ssbdev/testdata/CALIFA/califa'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "from specview.tools.preprocess import read_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "add_dataset = lambda name: sv.display_graph(sv.add_data_set(read_data('/'.join([datadir, name]), ext=0), name=name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Main"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: The unit 'Angstrom' has been deprecated in the FITS standard. Suggested: nm (with data multiplied by 0.1). [astropy.units.format.utils]\n",
      "WARNING:astropy:UnitsWarning: The unit 'Angstrom' has been deprecated in the FITS standard. Suggested: nm (with data multiplied by 0.1).\n"
     ]
    }
   ],
   "source": [
    "sv.create_display(sv.add_data_set(read_data('/'.join([datadir, 'ngc0036_0.fits']), ext=0), name='collection'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for fname in os.listdir(datadir):\n",
    "    if fname.endswith('00.fits'):\n",
    "        add_dataset(fname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Big Data\n",
    "Graph of 3200 spectra from a CALIFA dataset.\n",
    "\n",
    "<img src='spectral_analysis_mm/califa_3200_spectra.png' />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}