The zeros()
method creates a new array of given shape and type, filled with zeros.
Example
import numpy as np
# create an array of 5 elements filled with 0s
array1 = np.zeros(5)
print(array1)
# Output: [0. 0. 0. 0. 0.]
zeros() Syntax
The syntax of zeros()
is:
numpy.zeros(shape, dtype = None, order = 'C')
zeros() Arguments
The zeros()
method takes three arguments:
shape
- desired shape of the new array (can beint
ortuple of int
)dtype
(optional) - datatype of the new arrayorder
(optional) - specifies the order in which the zeros are filled
zeros() Return Value
The zeros()
method returns the array of given shape, order, and datatype filled with 0s.
Example 1: Create Array With zeros
import numpy as np
# create a float array of 1s
array1 = np.zeros(5)
print('Float Array: ',array1)
# create an int array of 1s
array2 = np.zeros(5, dtype = int)
print('Int Array: ',array2)
Output
Float Array: [0. 0. 0. 0. 0.] Int Array: [0 0 0 0 0]
If unspecified, the default dtype
is float.
Example 2: Create nd-Array With zeros
import numpy as np
# create a n-d array of 1s
array1 = np.zeros([2,3])
print('n-d array:\n',array1)
Output
n-d array: [[0. 0. 0.] [0. 0. 0.]]