code/ch4/5_data_selection.ipynb

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   "source": [
    "import pandas as pd"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "#### Data loading\n",
    "- xlrd 모듈이 없을 경우, conda install xlrd"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "!conda install --y xlrd "
   ]
  },
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "df = pd.read_excel(\"./data/excel-comp-data.xlsx\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "#### data selction with index number and column names"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "df[\"account\"].head(2)"
   ]
  },
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   "source": [
    "df[[\"account\", \"street\", \"state\"]].head(3)"
   ]
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    "df[:3]"
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   "outputs": [],
   "source": [
    "df[\"name\"][:3]"
   ]
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   "cell_type": "code",
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   "source": [
    "account_serires = df[\"account\"]\n",
    "account_serires[:3]"
   ]
  },
  {
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   "outputs": [],
   "source": [
    "account_serires[[1,5,2]]"
   ]
  },
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   "source": [
    "account_serires[account_serires<250000]"
   ]
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   "source": [
    "df.index = df[\"account\"]"
   ]
  },
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   "execution_count": null,
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   "outputs": [],
   "source": [
    "df.head()"
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   "outputs": [],
   "source": [
    "del df[\"account\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[[\"name\",\"street\"]][:2]"
   ]
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[[211829,320563],[\"name\",\"street\"]]"
   ]
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   "source": [
    "df[[\"name\", \"street\"]].iloc[:10]"
   ]
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   "source": [
    "### reindex"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "df.index = list(range(0,15))\n",
    "df.head()"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "### data drop"
   ]
  },
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "df"
   ]
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   "outputs": [],
   "source": [
    "df.drop(1)"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
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   "outputs": [],
   "source": [
    "df.drop([0,1, 2,3])"
   ]
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   "outputs": [],
   "source": [
    "matrix = df.as_matrix()\n",
    "matrix[:3]"
   ]
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   "source": [
    "matrix[:,-3:]"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix[:,-3:].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(\"city\",axis=1) \n",
    "df.drop([\"city\", \"state\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix = df.as_matrix()\n",
    "matrix"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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