dec_hist.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import seaborn as sns;sns.set_style('darkgrid')\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "import lsst.sims.maf.db as db\n",
    "sns.set_context('poster',font_scale=1.4)\n",
    "matplotlib.rcParams['figure.figsize'] = 19,14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "Directory = '/global/cscratch1/sd/husni/OpsimRuns/'\n",
    "runName = Directory+'rolling_10yrs_opsim'\n",
    "opsdb = db.OpsimDatabase(runName+'.db')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dec = opsdb.fetchMetricData(['fieldDec'])\n",
    "dec = [x[0] for x in dec]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1368x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 836,
       "width": 1157
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(dec,100);\n",
    "plt.xlabel('dec');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "lsst",
   "language": "python",
   "name": "lsst"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}