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    "# Querying Opacities  \n",
    "\n",
    "``PICASO`` currently comes with single opacity database that includes both the continuum and molecular opacity. The opacity file that comes included with has a 0.3-14 $\\mu$m opacity grid sampled at R=15000. This is why we consistently bin our spectra to R~100. Contact us with opacity needs. \n",
    "\n",
    "We chose those use `sqlite3` for our database because of it's 1) user-friendliness, 2) speed, 3) scalability, 4) compatibility with parallel programing. We tried out various other methods as well-- `json`, `hdf5`, `ascii`, `sqlalchemy`-- but `sqlite3` was truly better for this specific problem.  \n",
    "\n",
    "In this tutorial you wil learn how to quickly grab any opacity data"
   ]
  },
  {
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       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
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       "\n",
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       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"p1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.0.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.0.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.0.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.0.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.0.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"p1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import io\n",
    "import numpy as np\n",
    "import os\n",
    "import picaso.opacity_factory as opa\n",
    "#plotting \n",
    "import picaso.justplotit as jpi\n",
    "import picaso.justdoit as jdi\n",
    "jpi.output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General Sqlite3 and how our database is structured\n",
    "\n",
    "- 3 Tables: `header`, `continuum`, and `molecular`\n",
    "- header: contains units and the wavenumber grid\n",
    "- continuum: contains a grid continuum opacity and is temperature dependent \n",
    "- molecular: contains all molecular opacity and is pressure-temperature dependent. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to Query the Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this is where your opacity file should be located if you've set your environments correctly\n",
    "db_filename = os.path.join(os.getenv('picaso_refdata'), 'opacities','opacities.db')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What Species, Pressures and Temperatures are Available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "molecules, pt_pairs = opa.molecular_avail(db_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AlH', 'C2H2', 'C2H4', 'C2H6', 'CH4', 'CO', 'CO2', 'CaH', 'CrH', 'Cs', 'Fe', 'FeH', 'H2', 'H2O', 'H2S', 'H3+', 'HCN', 'K', 'Li', 'LiCl', 'LiF', 'LiH', 'MgH', 'N2', 'N2O', 'NH3', 'Na', 'O2', 'O3', 'OCS', 'PH3', 'Rb', 'SiO', 'TiH', 'TiO', 'VO']\n"
     ]
    }
   ],
   "source": [
    "print(molecules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 1e-06, 75.0),\n",
       " (2, 3e-06, 75.0),\n",
       " (3, 1e-05, 75.0),\n",
       " (4, 3e-05, 75.0),\n",
       " (5, 0.0001, 75.0),\n",
       " (6, 0.0003, 75.0),\n",
       " (7, 0.001, 75.0),\n",
       " (8, 0.003, 75.0),\n",
       " (9, 0.01, 75.0),\n",
       " (10, 0.03, 75.0)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt_pairs[0:10] #full list of all the pt pairs. the first value is just an index for bookkeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "species_to_get = ['H2O']\n",
    "temperature = list(np.arange(400,1000,10)) #this will find the nearest point for you in the db\n",
    "pressure = [1]*len(temperature) #in bars\n",
    "\n",
    "#NOTE: temperature and pressure lists are defined as pairs. The list above is \n",
    "#grabbing temperatures from 400-1000 all at 1 bar. \n",
    "\n",
    "data  = opa.get_molecular(db_filename, species_to_get, temperature,pressure)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['H2O', 'wavenumber'])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys([400.0, 425.0, 450.0, 475.0, 500.0, 525.0, 550.0, 575.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#note these temperatures might be different from your input \n",
    "#if there isnt an exact point matching your input\n",
    "data['H2O'].keys() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys([1.0])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['H2O'][400.0].keys() #in this case we had the exact point (1.0 bar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"ab83f330-fc9d-46c3-a60b-2c330b82bf53\" data-root-id=\"p1588\" style=\"display: contents;\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
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\"},\"shape\":[575],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2107\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2108\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2103\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#9e0142\"}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2104\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#9e0142\",\"line_alpha\":0.1}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2105\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#9e0142\",\"line_alpha\":0.2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1595\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1619\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1620\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1621\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1622\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1623\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1624\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1625\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LogAxis\",\"id\":\"p1612\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"LogTicker\",\"id\":\"p1614\",\"attributes\":{\"num_minor_ticks\":10,\"mantissas\":[1,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"LogTickFormatter\",\"id\":\"p1613\"},\"axis_label\":\"Cross Section (cm2/species)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1615\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1605\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1607\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1606\"},\"axis_label\":\"Micron\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1608\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1611\",\"attributes\":{\"axis\":{\"id\":\"p1605\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1618\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1612\"}}},{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1657\",\"attributes\":{\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1658\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"400.0\"},\"renderers\":[{\"id\":\"p1640\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1687\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"425.0\"},\"renderers\":[{\"id\":\"p1665\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1721\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"450.0\"},\"renderers\":[{\"id\":\"p1694\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1760\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"475.0\"},\"renderers\":[{\"id\":\"p1728\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1804\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"500.0\"},\"renderers\":[{\"id\":\"p1767\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1853\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"525.0\"},\"renderers\":[{\"id\":\"p1811\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1907\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"550.0\"},\"renderers\":[{\"id\":\"p1860\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1966\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"575.0\"},\"renderers\":[{\"id\":\"p1914\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2030\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"600.0\"},\"renderers\":[{\"id\":\"p1973\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2099\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"650.0\"},\"renderers\":[{\"id\":\"p2037\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2173\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"700.0\"},\"renderers\":[{\"id\":\"p2106\"}]}}]}}]}}]}};\n",
       "  const render_items = [{\"docid\":\"338ebbae-17af-4011-b90a-0a7edd290c3a\",\"roots\":{\"p1588\":\"ab83f330-fc9d-46c3-a60b-2c330b82bf53\"},\"root_ids\":[\"p1588\"]}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "p1588"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Spectral11  = jpi.pals.Spectral11\n",
    "f = jpi.figure(y_axis_type='log',height=500,y_range=[1e-29,1e-17],\n",
    "          y_axis_label='Cross Section (cm2/species)', x_axis_label='Micron')\n",
    "for T , C in zip(data['H2O'].keys(), Spectral11):\n",
    "    x,y = jdi.mean_regrid(data['wavenumber'],data['H2O'][T][1.0], R=200)\n",
    "    f.line(1e4/x,y, color=C,legend_label=str(T))\n",
    "jpi.show(f)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get Continuum Opacity\n",
    "\n",
    "Very similar to molecular opacity, except not pressure dependent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "molecules, temperatures = opa.continuum_avail(db_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['H-bf', 'H-ff', 'H2-', 'H2CH4', 'H2H', 'H2H2', 'H2He', 'H2N2']\n"
     ]
    }
   ],
   "source": [
    "print(molecules)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: The continuum is perhaps the most \"hard-coded\" aspect of this code. If you want to add new continuum molecules you must also update this part of `picaso`: \n",
    "\n",
    "https://github.com/natashabatalha/picaso/blob/8ae68dfb0bd7c876f5f4fe7ee1d2ac00366d15ef/picaso/atmsetup.py#L313"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data  = opa.get_continuum(db_filename, ['H2He'], list(temperature))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['H2He', 'wavenumber'])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys([400.0, 425.0, 450.0, 475.0, 500.0, 525.0, 550.0, 575.0, 600.0, 625.0, 650.0, 675.0, 700.0, 725.0, 750.0, 775.0, 800.0, 825.0, 850.0, 875.0, 900.0, 925.0, 950.0, 975.0, 1000.0])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['H2He'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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Section (cm-1 amagat-2)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2686\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2676\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2678\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2677\"},\"axis_label\":\"Micron\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2679\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2682\",\"attributes\":{\"axis\":{\"id\":\"p2676\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2689\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2683\"}}},{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p2728\",\"attributes\":{\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2729\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"400.0\"},\"renderers\":[{\"id\":\"p2711\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2758\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"450.0\"},\"renderers\":[{\"id\":\"p2736\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2792\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"500.0\"},\"renderers\":[{\"id\":\"p2765\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2831\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"550.0\"},\"renderers\":[{\"id\":\"p2799\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2875\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"600.0\"},\"renderers\":[{\"id\":\"p2838\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2924\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"650.0\"},\"renderers\":[{\"id\":\"p2882\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2978\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"700.0\"},\"renderers\":[{\"id\":\"p2931\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p3037\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"750.0\"},\"renderers\":[{\"id\":\"p2985\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p3101\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"800.0\"},\"renderers\":[{\"id\":\"p3044\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p3170\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"850.0\"},\"renderers\":[{\"id\":\"p3108\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p3244\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"900.0\"},\"renderers\":[{\"id\":\"p3177\"}]}}]}}]}}]}};\n",
       "  const render_items = [{\"docid\":\"2bd5c852-4ba1-4deb-aeb4-a3ccd7e4bb98\",\"roots\":{\"p2659\":\"5d93d94e-4897-4b3b-8e04-4c3ddbe8fcdb\"},\"root_ids\":[\"p2659\"]}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "p2659"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "f = jpi.figure(y_axis_type='log',height=300,y_range=[1e-15,1e-5],\n",
    "          y_axis_label='Cross Section (cm-1 amagat-2)', x_axis_label='Micron')\n",
    "for T , C in zip(list(data['H2He'].keys())[::2], Spectral11):\n",
    "    x,y = jdi.mean_regrid(data['wavenumber'],data['H2He'][T], R=200)\n",
    "    f.line(1e4/x,y, color=C,legend_label=str(T))\n",
    "    \n",
    "jpi.show(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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   "title_cell": "Table of Contents",
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   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
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  "varInspector": {
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    "lenType": 16,
    "lenVar": 40
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
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     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   "types_to_exclude": [
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