ensdf-examine.ipynb

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  {
   "cell_type": "code",
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    {
     "name": "stderr",
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     "text": [
      "/home/scopatz/miniconda3/lib/python3.5/importlib/_bootstrap.py:222: QAWarning: pyne.rxname is not yet QA compliant.\n",
      "  return f(*args, **kwds)\n",
      "/home/scopatz/miniconda3/lib/python3.5/importlib/_bootstrap.py:222: QAWarning: pyne.data is not yet QA compliant.\n",
      "  return f(*args, **kwds)\n",
      "/home/scopatz/.local/lib/python3.5/site-packages/pyne/ensdf.py:17: QAWarning: pyne.ensdf is not yet QA compliant.\n",
      "  warn(__name__ + \" is not yet QA compliant.\", QAWarning)\n"
     ]
    }
   ],
   "source": [
    "from pyne import ensdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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     "execution_count": 7,
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   ],
   "source": [
    "filename = '/home/scopatz/build_nuc_data/ENSDF/ensdf.210'\n",
    "n = 84\n",
    "data = ensdf.levels(filename)\n",
    "[row for row in data if row[0]//10000000 == n]"
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      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename = '/home/scopatz/build_nuc_data/ENSDF/ensdf.154'\n",
    "data = ensdf.levels(filename)\n",
    "data"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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