{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "FemPreg_names = [\n",
    "    \"caseid\", \"nbrnaliv\", \n",
    "    \"babysex\", \"birthwgt_lb\",\n",
    "    \"birthwgt_oz\", \"prglength\", \n",
    "    \"outcome\", \"birthord\",\n",
    "    \"agepreg\", \"finalwgt\"\n",
    "]\n",
    "\n",
    "FemPreg_colspecs = [\n",
    "    (0, 12), (21, 22), \n",
    "    (55, 56), (57, 58), \n",
    "    (57, 59), (274, 276), \n",
    "    (276, 277), (278, 279), \n",
    "    (283, 285), (422, 439)\n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>caseid</th>\n",
       "      <th>nbrnaliv</th>\n",
       "      <th>babysex</th>\n",
       "      <th>birthwgt_lb</th>\n",
       "      <th>birthwgt_oz</th>\n",
       "      <th>prglength</th>\n",
       "      <th>outcome</th>\n",
       "      <th>birthord</th>\n",
       "      <th>agepreg</th>\n",
       "      <th>finalwgt</th>\n",
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      ],
      "text/plain": [
       "   caseid  nbrnaliv  babysex  birthwgt_lb  birthwgt_oz  prglength  outcome  \\\n",
       "0       1       1.0      1.0          8.0         81.0         39        1   \n",
       "1       1       1.0      2.0          7.0         71.0         39        1   \n",
       "2       2       3.0      1.0          9.0          9.0         39        1   \n",
       "3       2       1.0      2.0          7.0          7.0         39        1   \n",
       "4       2       1.0      2.0          6.0          6.0         39        1   \n",
       "\n",
       "   birthord  agepreg      finalwgt  \n",
       "0       1.0     33.0   6448.271112  \n",
       "1       2.0     39.0   6448.271112  \n",
       "2       1.0     14.0  12999.542264  \n",
       "3       2.0     17.0  12999.542264  \n",
       "4       3.0     18.0  12999.542264  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "FemPreg_data = pd.read_fwf(\n",
    "    '2002FemPreg.dat', \n",
    "    names = FemPreg_names, \n",
    "    colspecs = FemPreg_colspecs\n",
    ")\n",
    "\n",
    "display(FemPreg_data.head())"
   ]
  }
 ],
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