numpy.zeros() in Python (original) (raw)
Last Updated : 24 Jan, 2025
numpy.zeros() function creates a new array of specified shapes and types, filled with zeros. It is beneficial when you need a placeholder array to initialize variables or store intermediate results. We can create 1D array using numpy.zeros().
Let’s understand with the help of an example:
Python `
import numpy as np
#Create 1D array arr = np.zeros(5) print(arr)
`
Table of Content
**Syntax of numpy.zeros()
numpy.zeros(shape, dtype = None, order = ‘C’)
**Parameters:
- **shape: integer or sequence of integers – Defines the shape of the new array. Can be a single integer or a tuple.
- **dtype: optional, default is float – The data type of the returned array. If not specified, the default is float.
- **order: {‘C’, ‘F’} – Specifies the memory layout order:
- **C-order: C-contiguous order means the last index varies the fastest. It is optimal for row-wise operations.
- **F-order: FORTRAN-contiguous order means the first index varies the fastest. It is optimal for column-wise operations.
Return Value
- numpy.zeros() returns a new array filled with zeros, based on the specified shape and type.
Creating 2D Array
by using NumPy, we can easily create a 2D array filled with zeros using the numpy.zeros() function.
Python `
import numpy as np
Creating a 2D array with 3 rows and 4 columns
arr = np.zeros((3, 4))
print(arr)
`
Output
[[0. 0. 0. 0.] [0. 0. 0. 0.] [0. 0. 0. 0.]]
Specifying Data Type (dtype)
dtype parameter in numpy.zeros() defines the type of data stored in the array.
Python `
import numpy as np
Create an array of tuples with zeros
d = np.zeros((2, 2), dtype=[('f', 'f4'), ('i', 'i4')]) print(d)
`
Output
[[(0., 0) (0., 0)] [(0., 0) (0., 0)]]
C vs F Order
Choosing the right memory layout can significantly improve performance, depending on our specific operations. If your operations are row-wise, use C-order. If they are column-wise, use F-order.
Python `
import numpy as np
Create a 2x3 array in C-order
e = np.zeros((2, 3), order='C') print("C-order array:", e)
Create a 2x3 array in F-order
f = np.zeros((2, 3), order='F') print("F-order array:", f)
`
Output
C-order array: [[0. 0. 0.] [0. 0. 0.]] F-order array: [[0. 0. 0.] [0. 0. 0.]]