August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Pandas
The last (but not least) among Python's most used libraries that we'll look at here, is the pandas package, which helps to simplify the ordinary activity of data cleaning (an activity that absorbs most of the analyst's time) in order to proceed with the subsequent data analysis phase.
The implementation of pandas is very similar to that of the DataFrame package in R; DataFrame is nothing but a tabular structure used to store data in the form of a table, on which the columns represent the variables, while the rows represent the data itself.
In the following example, we will show a typical use of a DataFrame, obtained as a result of the instantiation of the DataFrame class of pandas, which receives, as an input parameter, one of the ...
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