3_b_merge_dataframe_by_columns_on_index.ipynb

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    "merge dataframe by columns using index"
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  {
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   "execution_count": 1,
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   "source": [
    "import pandas as pd"
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "   A  B\n",
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   "source": [
    "df = pd.DataFrame([[1, 3], [2, 4]], columns=['A', 'B'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
    {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "   A  D\n",
       "0  1  5\n",
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     "execution_count": 3,
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   "source": [
    "df2 = pd.DataFrame([[1, 5], [1, 6]], columns=['A', 'D'])\n",
    "df2"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
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   "outputs": [
    {
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      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>A</th>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
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       "      <td>6</td>\n",
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      "text/plain": [
       "   A  B  A  D\n",
       "0  1  3  1  5\n",
       "1  2  4  1  6"
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     "execution_count": 4,
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   "source": [
    "pd.concat([df, df2], axis=1)"
   ]
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   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
   },
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   "source": []
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