NumPy ones()

import numpy as np

# create an array of 1s
array1 = np.ones(5)

print(array1)

# Output: [1. 1. 1. 1. 1.]

ones() Syntax

The syntax of ones() is:

numpy.ones(shape, dtype = None, order = 'C')

ones() Arguments

The ones() method takes three arguments:

• shape - desired new shape of the array (can be integer or tuple of integers)
• dtype (optional) - datatype of the returned array
• order (optional) - specifies the order in which the ones are filled

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ones() Return Value

The ones() method returns the array of given shape, order, and datatype filled with 1s.

Example 1: Create Array With ones

import numpy as np

# create a float array of 1s
array1 = np.ones(5
)
print('Float Array: ',array1)

# create an int array of 1s
array2 = np.ones(5, dtype = int)
print('Int Array: ',array2)

Output

Float Array:  [1. 1. 1. 1. 1.]
Int Array:  [1 1 1 1 1]

If unspecified, the default dtype is float.

Example 2: Create nd-Array With ones

import numpy as np

# create a n-d array of 1s
array1 = np.ones([2,3])
print('n-d array:\n',array1)

Output

n-d array:
 [[1. 1. 1.]
 [1. 1. 1.]]