April 2016
Beginner
156 pages
3h 23m
English
Content preview from NumPy EssentialsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Creating arrays
Arrays can be created in a number of ways, for instance from other data structures, by reading files on disk, or from the Web. For the purposes of this chapter, whose aim is to familiarize us with the core characteristics of a NumPy array, we will be creating arrays using lists or various NumPy functions.
Creating arrays from lists
The simplest way to create an array is using the array function. To create a valid array object, arguments to array functions need to adhere to at least one of the following conditions:
- It has to be a valid iterable value or sequence, which may be nested
- It must have an
__array__method that returns a valid numpy array
Consider the following snippet:
In [32]: x = np.array([1, 2, 3]) In [33]: y = np.array(['hello', ...
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