Created on Cognitive Class Labs

4.4_notebook_quizz_pandas.ipynb

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   "source": [
    "<h3> Get to Know a Pandas Array </h3>"
   ]
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   "cell_type": "markdown",
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   "source": [
    "You will use the dataframe <code>df</code> for the following:"
   ]
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   "cell_type": "code",
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   "outputs": [
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     "name": "stdout",
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     "text": [
      "   a  b\n",
      "0  1  1\n",
      "1  2  1\n",
      "2  1  1\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df=pd.DataFrame({'a':[1,2,1],'b':[1,1,1]})\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1) find the unique values in column <code> 'a' </code>:"
   ]
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['a'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "2) return a dataframe with only the rows where column <code> a </code> is less than two "
   ]
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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    "jupyter": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   a  b\n",
      "0  1  1\n",
      "2  1  1\n"
     ]
    }
   ],
   "source": [
    "df1=df[df['a']<2]\n",
    "print(df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<small>Copyright &copy; 2018 IBM Cognitive Class. This notebook and its source code are released under the terms of the [MIT License](https://cognitiveclass.ai/mit-license/).</small>"
   ]
  }
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