13-Pandas_concat.ipynb

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   "source": [
    "# Pandas concat\n",
    "\n",
    "* 영상링크 : https://youtu.be/vbr4xrFEbyw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s1 = pd.Series(['a', 'b'])\n",
    "s1"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "s2 = pd.Series(['c', 'd'])\n",
    "s2"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "pd.concat([s1, s2], ignore_index=True)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "pd.concat([s1, s2], keys=['s1', 's2',], names=['Series name', 'Row ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "df1 = pd.DataFrame([['a', 1], ['b', 2]],\n",
    "                   columns=['letter', 'number'])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "df2 = pd.DataFrame([['c', 3], ['d', 4]],\n",
    "                   columns=['letter', 'number'])\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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    "pd.concat([df1, df2])"
   ]
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    "df3 = pd.DataFrame([['c', 3, 'cat'], ['d', 4, 'dog']],\n",
    "                   columns=['letter', 'number', 'animal'])\n",
    "df3"
   ]
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   "cell_type": "code",
   "execution_count": null,
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    "pd.concat([df1, df3], sort=False)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat([df1, df3], join=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = pd.DataFrame([['bird', 'polly'], ['monkey', 'george']],\n",
    "                   columns=['animal', 'name'])\n",
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "df5 = pd.DataFrame([1], index=['a'])\n",
    "df5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df6 = pd.DataFrame([2], index=['a'])\n",
    "df6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ValueError: Indexes have overlapping values: ['a']\n",
    "# pd.concat([df5, df6], verify_integrity=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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