f2.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": 3
  },
  "orig_nbformat": 2
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv(\"communities.data\" , header=None)\n",
    "def read_header(filename):\n",
    "    '''\n",
    "    Given a filename containing headers, extract the headers and assign it to df\n",
    "    '''\n",
    "\n",
    "    header_list = []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            if \"@attribute\" in line:\n",
    "                header_list.append(line.split(\" \")[1])\n",
    "    return header_list\n",
    "    \n",
    "headers = read_header(\"communities.names\")\n",
    "df1.columns = headers"
   ]
  }
 ]
}