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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",
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   "source": [
    "<h3> Get to Know a Pandas Array </h3>\n"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "You will use the dataframe <code>df</code> for the following:\n"
   ]
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df=pd.DataFrame({'a':[1,2,1],'b':[1,1,1]})"
   ]
  },
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   "cell_type": "markdown",
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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": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method Series.unique of 0    1\n",
       "1    2\n",
       "2    1\n",
       "Name: a, dtype: int64>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df\n",
    "df['a'].unique"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2) return a dataframe with only the rows where column <code> a </code> is less than two \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "2     True\n",
       "Name: a, dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['a']<2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "<h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
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