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PY0101EN-4.4_notebook_quizz_pandas.ipynb

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   "source": [
    "<center>\n",
    "    <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n"
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   "source": [
    "<h3> Get to Know a Pandas Array </h3>\n"
   ]
  },
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   "source": [
    "You will use the dataframe <code>df</code> for the following:\n"
   ]
  },
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   "metadata": {},
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   "source": [
    "import pandas as pd\n",
    "\n",
    "df=pd.DataFrame({'a':[1,2,1],'b':[1,1,1]})"
   ]
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   "source": [
    "1) Find the unique values in column <code> 'a' </code>:\n"
   ]
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   "cell_type": "code",
   "execution_count": 2,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2])"
      ]
     },
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   "source": [
    "df['a'].unique()"
   ]
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   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "df['a'].unique()\n",
    "    \n",
    "```\n",
    "\n",
    "</details>\n",
    "         \n"
   ]
  },
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   "source": [
    "2) Return a dataframe with only the rows where column <code> a </code> is less than two \n"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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     "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": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "df[df['a']<2]\n",
    "    \n",
    "```\n",
    "\n",
    "</details>\n",
    "         \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "<h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
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