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Hands-On Data Analysis with NumPy and pandas

You're reading from   Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789530797
Length 168 pages
Edition 1st Edition
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Curtis Miller Curtis Miller
Author Profile Icon Curtis Miller
Curtis Miller
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Advanced indexing


Let's now discuss more advanced indexing techniques. We can index ndarray objects using other ndarray. We can slice an ndarray using either ndarray objects containing integers that correspond to the indices of the ndarray we wish to select, or ndarray objects of Boolean values, where the value true means a cell should be included in the slice.

Select the elements of arr2 that are not Wayne, and this is the result:

Wayne is not included in the selection, and this was the array that was generated to do that indexing:

It is True everywhere except where the contents were Wayne.

Another more advanced technique is to select using arrays of integers that identify which elements we want. So here, we're going to create two arrays that will be used for this slicing:

This first 0 in the first array means the first coordinate is zero, and the first 0 in the second array means that second coordinate is zero, as specified by the order these two arrays are listed in. So, in the first row and...

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