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September 18, 2019 17:26
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
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"<h3> Get to Know a Pandas Array </h3>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
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"You will use the dataframe <code>df</code> for the following:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import pandas as pd\n", | |
"\n", | |
"df=pd.DataFrame({'a':[1,2,1],'b':[1,1,1]})" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"1) find the unique values in column <code> 'a' </code>:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"2) return a dataframe with only the rows where column <code> a </code> is less than two " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": false | |
}, | |
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"source": [] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"<hr>\n", | |
"<small>Copyright © 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>" | |
] | |
} | |
], | |
"metadata": { | |
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"display_name": "Python 3", | |
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"name": "python3" | |
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