Abstract
In the previous chapter, you got familiar with the pandas library and with all the basic functionalities that it provides for the data analysis. You have seen that DataFrame and Series are the heart of this library. These are the material on which to perform all manipulations of data, calculations, and analysis.
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© 2015 Fabio Nelli
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Nelli, F. (2015). pandas: Reading and Writing Data. In: Python Data Analytics. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0958-5_5
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DOI: https://doi.org/10.1007/978-1-4842-0958-5_5
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0959-2
Online ISBN: 978-1-4842-0958-5
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