LABS/LAB 16. Pandas.ipynb

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   "source": [
    "# Import pandas as pd\n",
    "import pandas as pd\n",
    "\n",
    "# Import the cars.csv data: cars\n",
    "cars = pd.read_csv(\"cars.csv\")\n",
    "\n",
    "# Print out cars\n",
    "print(cars)"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "# Import pandas as pd\n",
    "import pandas as pd\n",
    "\n",
    "# Fix import by including index_col\n",
    "cars = pd.read_csv('cars.csv', index_col = 0)\n",
    "\n",
    "# Print out cars\n",
    "print(cars)"
   ]
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   "cell_type": "code",
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   "source": [
    "# Import cars data\n",
    "import pandas as pd\n",
    "cars = pd.read_csv('cars.csv', index_col = 0)\n",
    "\n",
    "# Print out country column as Pandas Series\n",
    "print(cars.country)\n",
    "\n",
    "# Print out country column as Pandas DataFrame\n",
    "print(cars[[\"country\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    "# Import cars data\n",
    "import pandas as pd\n",
    "cars = pd.read_csv('cars.csv', index_col = 0)\n",
    "\n",
    "# Print out observation for Japan\n",
    "print(cars.loc[\"JAP\"])\n",
    "\n",
    "# Print out observations for Australia and Egypt\n",
    "print(cars.loc[[\"AUS\", \"EG\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Import cars data\n",
    "import pandas as pd\n",
    "cars = pd.read_csv('cars.csv', index_col = 0)\n",
    "\n",
    "# Print out drive_right value of Morocco\n",
    "print(cars.loc[\"MOR\", \"drives_right\"])\n",
    "\n",
    "# Print sub-DataFrame\n",
    "print(cars.loc[[\"RU\", \"MOR\"], [\"country\", \"drives_right\"]])"
   ]
  }
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