Kaguya_Spectral_Profiler.ipynb

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     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
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   "source": [
    "from pyhat.fileio import io_spectral_profiler as sp\n",
    "from IPython.display import display, HTML\n",
    "%pylab inline"
   ]
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    "The Spectral_Profiler object `s` represents the entirety of the data object.  It has the following attributes:\n",
    "\n",
    "  - `ancillary_data` containing a dict of data extracted from the binary\n",
    "  - `label` containing a custom dict of PVL objects\n",
    "  - `spectra` containing a dict of spectra keyed with a simple count of the observations, e.g. keys=[1, 2, 3, ..., n]\n",
    "      -  Each spectra is then a `Spectra` (Subclass of a pandas DataFrame)\n",
    "  - `wavelengths` contianing a pandas series with the wavelengths for the observations.  Each spectra is also indexed by the wavelengt\n",
    "\n",
    "For all of the extraction, `cleaned` is set to `False`, indidcating that the data should not be cleaned with the QA information."
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   "source": [
    "## Level 2C"
   ]
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   "source": [
    "s = sp.Spectral_Profiler('/Users/jlaura/Desktop/SP_2C_02_05496_N710_E0306/SP_2C_02_05496_N710_E0306.spc', cleaned=False)"
   ]
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   "metadata": {},
   "source": [
    "## Level 2B2"
   ]
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   "source": [
    "s = sp.Spectral_Profiler('/Users/jlaura/Desktop/SP_2B2_02_05491_N411_E2171/SP_2B2_02_05491_N411_E2171.spc', cleaned=False)"
   ]
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