December 2016
Intermediate to advanced
332 pages
6h 2m
English
book
Scientific Computing with Python 3
by Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Content preview from Scientific Computing with Python 3
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The array type
The objects used to manipulate vectors, matrices, and more general tensors in NumPy are called arrays. In this section, we examine their essential properties, how to create them, and how to access their information.
Array properties
Arrays are essentially characterized by three properties, which is given in the following table (Table 4.2):
|
Name |
Description |
|
|
It describes how the data should be interpreted, as a vector, a matrix or as a higher order tensor, and it gives the corresponding dimension. It is accessed with the |
|
|
It gives the type of the underlying data (float, complex, integer, and so on). |
|
|
This attribute specifies in which order the data should be read. For instance, a matrix ... |
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