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
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)
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)
Do comment if you have any questions on this Python NumPy topic.
Note: IDE: PyCharm 2021.1.3 (Community Edition)
All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.
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