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   "source": [
    "Model object and parameter access\n",
    "============================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------- Parameter summary --------------------\n",
      "      A =            0, free: F, restricted: F, related: F\n",
      "     mu =            0, free: F, restricted: F, related: F\n",
      "    sig =            0, free: F, restricted: F, related: F\n",
      "    off =            0, free: F, restricted: F, related: F\n",
      "    lin =            0, free: F, restricted: F, related: F\n",
      "----------------------------------------------------------\n",
      "\n",
      "Parameters values: \n",
      "  A   :  -10.0\n",
      "  sig :  15.77\n",
      "  off :  0.96\n",
      "  mu  :  7.5\n",
      "\n",
      "------------------- Parameter summary --------------------\n",
      "      A =         0.75, free: F, restricted: F, related: F\n",
      "     mu =         0.75, free: F, restricted: F, related: F\n",
      "    sig =         0.75, free: F, restricted: F, related: F\n",
      "    off =            1, free: F, restricted: F, related: F\n",
      "    lin =         0.75, free: F, restricted: F, related: F\n",
      "----------------------------------------------------------\n",
      "\n",
      "Parameter name/value dictionary:  OrderedDict([('A', 0.75), ('mu', 0.75), ('sig', 0.75), ('off', 1.0), ('lin', 0.75)])\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function, division\n",
    "from PyAstronomy import funcFit2 as fuf2\n",
    "\n",
    "# Create a a model object representing a Gaussian\n",
    "gf = fuf2.GaussFit()\n",
    "\n",
    "# Get some information on the available parameters\n",
    "gf.parameterSummary()\n",
    "\n",
    "# Parameters can be accessed using the square bracket\n",
    "# notation\n",
    "gf[\"A\"] = -10.0\n",
    "gf[\"sig\"] = 15.77\n",
    "gf[\"off\"] = 0.96\n",
    "gf[\"mu\"] = 7.5\n",
    "print()\n",
    "print(\"Parameters values: \")\n",
    "print(\"  A   : \", gf[\"A\"])\n",
    "print(\"  sig : \", gf[\"sig\"])\n",
    "print(\"  off : \", gf[\"off\"])\n",
    "print(\"  mu  : \", gf[\"mu\"])\n",
    "print()\n",
    "\n",
    "# Wildcards can be used to specify parameters\n",
    "gf[\"*\"] = 0.75\n",
    "gf[\"o?f\"] = 1.0 \n",
    "\n",
    "# More convenient overview of parameter status\n",
    "gf.parameterSummary()\n",
    "print()\n",
    "\n",
    "# Exporting and assigning parameter values via dictionary\n",
    "ps = gf.parameters()\n",
    "print(\"Parameter name/value dictionary: \", ps)\n",
    "# Assigning values from dictionary (identical values here)\n",
    "gf.assignValues(ps)"
   ]
  }
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