aplpy.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# initialise matplot inline plotting\n",
    "### note: don't start jupyter with --matplotlib / --pylab (depricated)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import aplpy\n",
    "import astropy\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# disable annoying astropy logging junk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "astropy.log.setLevel('WARNING')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import aplpy\n",
    "import astropy\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## disable useless astropy log junk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from astropy import log\n",
    "log.setLevel('INFO')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## make a pretty plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "gc = aplpy.FITSFigure('data/2MASS_k.fits')\n",
    "gc.show_rgb('data/2MASS_arcsinh_color.png')\n",
    "gc.set_tick_labels_font(size='small')\n",
    "gc.show_contour('data/mips_24micron.fits',colors='white')\n",
    "data = numpy.loadtxt('data/yso_wcs_only.txt')\n",
    "ra,dec = data[:,0],data[:,1]\n",
    "gc.show_markers(ra,dec,layer='scatter_set_1',edgecolor='red', facecolor='none',marker='o',s=10,alpha=0.5)"
   ]
  }
 ],
 "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": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}