Created on Skills Network Labs

PY0101EN-4.3_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 numpy Array </h3>\n"
   ]
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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": null,
   "metadata": {},
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   "source": [
    "import pandas as pd\n",
    "\n",
    "df=pd.DataFrame({'a':[11,21,31],'b':[21,22,23]})\n"
   ]
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   "source": [
    "1) Plot the first three rows:\n"
   ]
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head(3)"
   ]
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   "source": [
    "2) Obtain column  <code> 'a' </code>\n"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['a']"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "<hr>\n",
    "\n",
    "<h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
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