Numpy Zeros np.zeros() in Python
Numpy zeros np.zeros() function in python is used to get an array of given shape and type filled with zeros. You can pass three parameters inside function np.zeros shape, dtype and order. Numpy zeros function returns an array of the given shape.
Basic Syntax
np.zeros(shape,dtype,order)
And the parameters are:
Parameter  Description 

shape  like (2,3) or 2. For (2,3) it will return an array of shape 2 by 3 and for 2 it will return an array of shape 1 by 2. 
dtype  (Optional) This is the desired data type for an array for example numpy.int8 or numpy.float64 which is the default. 
order  (Optional) The values should be ‘C’ or ‘F’. This parameter describes storing data in rowmajor (‘C’) or columnmajor (‘F’) order style in memory. 
Return Value
This function will return ndarray of zeros with given shape, dtype and order.
Example
The following are the examples for the np.zeros() function in Python.
Example 1
import numpy as np first = np.zeros(2, dtype = int) print("Matrix first : \n", first) second = np.zeros([2, 2], dtype = int) print("\nMatrix second : \n", second)
Matrix first:
[0,0]
Matrix second:
[[0,0]
[0,0]]
[0,0]
Matrix second:
[[0,0]
[0,0]]
Example 2
# Python Program for np.zeros() function import numpy as np first = np.zeros((2,2), dtype=[('x', 'int'), ('y', 'float')]) print(first)
The output should be:
[(0,0.0) (0,0.0)]
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