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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
Tools
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

The DataFrame class

The DataFrame class is used to represent two-dimensional data. To illustrate its use, let's create a DataFrame class containing student data as follows:

grades = DataFrame(
    [['Alice',  80., 92., 84,],
     ['Bob',    78., NaN, 86,],
     ['Samaly', 75., 78., 88.]],
    index = [17005, 17035, 17028],
    columns = ['Name', 'Test 1', 'Test 2', 'Final']
    )

This code demonstrates one of the most straightforward ways to construct a DataFrame class. In the preceding case, the data can be specified as any two-dimensional Python data structure, such as a list of lists (as shown in the example) or a NumPy array. The index option sets the row names, which are integers representing student IDs here. Likewise, the columns option sets the column names. Both the index and column arguments can be given as any one-dimensional Python structure, such as lists, NumPy arrays, or a Series object.

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