How to Create Python Numpy Array with Zeros?

Contents

Python Numpy – zeros(shape)

To create a numpy array with zeros, given shape of the array, use numpy.zeros() function.

The syntax to create zeros numpy array is:

numpy.zeros(shape, dtype=float, order='C')

where

shape could be an int for 1D array and tuple of ints for N-D array.
dtype is the datatype of elements the array stores. By default, the elements are considered of type float. You may specify a datatype.
C and F are allowed values for order. This effects only how the data is stored in memory. C: C-style of storing multi-dimensional data in row-major memory. F: Fortran style of storing multi-dimensional data in column-major in memory.

Mostly, we only use shape parameter.

To create a one-dimensional array of zeros, pass the number of elements as the value to shape parameter.

In this example, we shall create a numpy array with 8 zeros.

Python Program

import numpy as np

#create numpy array with zeros
a = np.zeros(8)

#print numpy array
print(a)

Output

[0. 0. 0. 0. 0. 0. 0. 0.]

Numpy array (1-Dimensional) of size 8 is created with zeros. The default datatype is float.

To create a two-dimensional array of zeros, pass the shape i.e., number of rows and columns as the value to shape parameter.

In this example, we shall create a numpy array with 3 rows and 4 columns.

Python Program

import numpy as np

#create 2D numpy array with zeros
a = np.zeros((3, 4))

#print numpy array
print(a)

Please observe that we have provided the shape as a tuple of integers.

Output

[[0. 0. 0. 0.]
 [0. 0. 0. 0.]
 [0. 0. 0. 0.]]

Numpy array (2-Dimensional) of shape (3,4) is created with zeros. The default datatype is float.

To create a three-dimensional array of zeros, pass the shape as tuple to shape parameter.

In this example, we shall create a numpy array with shape (3,2,4).

Python Program

import numpy as np

#create 3D numpy array with zeros
a = np.zeros((3, 2, 4))

#print numpy array
print(a)

Please observe that we have provided the shape as a tuple of integers.

Output

[[[0. 0. 0. 0.]
  [0. 0. 0. 0.]]

 [[0. 0. 0. 0.]
  [0. 0. 0. 0.]]

 [[0. 0. 0. 0.]
  [0. 0. 0. 0.]]]

Numpy array (3-Dimensional) of shape (3,2,4) is created with zeros. The default datatype is float.

To create numpy zeros array with specific datatype, pass the required datatype as dtype parameter.

In this example, we shall create a numpy array with zeros of datatype integers.

Python Program

import numpy as np

#create numpy array with zeros of integer datatype
a = np.zeros(8, int)

#print numpy array
print(a)

Output

[0 0 0 0 0 0 0 0]

In this article of Python Examples, we created numpy array of specific shape and datatype and initialized the array with zeros.