Creating a one-dimensional NumPy array

One-dimensional array contains elements only in one dimension. In other words, the shape of the NumPy array should contain only one value in the tuple. We can create a 1-D array in NumPy using the array() function, which converts a Python list or iterable object.

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Let's explore various methods to Create one- dimensional Numpy Array.

Using Arrange()

arrange() returns evenly spaced values within a given interval.

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Using Linspace()

Linspace() creates evenly space numerical elements between two given limits.

Output:

[ 3. 6.5 10. ]

Using Fromiter()

Fromiter()is useful for creating non-numeric sequence type array however it can create any type of array. Here we will convert a string into a NumPy array of characters.

Output:

['g' 'e' 'e' 'k' 's' 'f' 'o' 'r' 'g' 'e' 'e' 'k' 's']

Using Zeros()

Zeros() returns the numbers of 0s as passed in the parameter of the method 

Output:

[0.0.0.0.0]

Using Ones() Function

ones() returns the numbers of 1s as passed in the parameter of the method 

[1. 1. 1. 1. 1.]

Using Random() Function

Random() return the random module provides various methods to create arrays filled with random values.