There are two ways to create an empty NumPy Array. NumPy.zeros and NumPy.empty Both of these methods differ slightly.
numpy.zeros(shape, dtype=float, order='C')
numpy.empty(shape, dtype=float, order='C')- Shape – Shape of the new array, e.g., (2, 3) or 2.
- dtype (optional) – The desired data-type for the array,e.g., numpy.int8. Default is numpy.float64.
- order (optional) – Indicates whether multi-dimensional data should be stored in row-major (C-style) or column-major (Fortran-style) order in memory.
Example Create an empty NumPy Array
Simple example code. You have to import the NumPy module for both examples.
NumPy.empty
NumPy empty creates a Numpy matrix/array without initializing it with any values. It contains a junk value.
import numpy as np
emptyArr = np.empty((3, 2))
print(emptyArr)
Output:
NumPy.zeros
NumPy zero creates a NumPy matrix/array and initializes all of its values to 0.
import numpy as np
zeroArr = np.zeros((2, 3))
print(zeroArr)
Output:
Do comment if you have any questions on this Python NumPy topic.
Note: IDE: PyCharm 2021.3.3 (Community Edition)
Windows 10
Python 3.10.1
All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.