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Return a new Three-Dimensional array without initializing entries in Numpy
To return a new 3D array without initializing entries, use the numpy.empty() method in Python Numpy. The 1st parameter is the Shape of the empty array. The dtype is the desired output datatype for the array, e.g, numpy.int8. Default is numpy.float64. The order suggests whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
The function empty() returns an array of uninitialized (arbitrary) data of the given shape, dtype, and order. Object arrays will be initialized to None.
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
Steps
At first, import the required library −
import numpy as np
Return a new 3D array without initializing entries, use the numpy.empty() method in Python Numpy −
arr = np.empty([3, 3, 3]) print("Array...\n",arr)
Get the type of the array −
print("\nArray type...\n", arr.dtype)
Get the dimensions of the Array −
print("\nOur Array Dimensions...\n", arr.ndim)
Get the number of elements in the Array −
print("\nNumber of elements...\n", arr.size)
Example
import numpy as np # To return a new 3D array without initializing entries, use the numpy.empty() method in Python Numpy # The 1st parameter is the Shape of the empty array arr = np.empty([3, 3, 3]) # Display the array print("Array...\n",arr) # Get the type of the array print("\nArray type...\n", arr.dtype) # Get the dimensions of the Array print("\nOur Array Dimensions...\n", arr.ndim) # Get the number of elements in the Array print("\nNumber of elements...\n", arr.size)
Output
Array... [[[4.65419892e-310 0.00000000e+000 6.92674569e-310] [6.92674569e-310 6.92674570e-310 6.92674570e-310] [6.92674403e-310 6.92661033e-310 6.92674569e-310]] [[6.92674415e-310 6.92661031e-310 6.92661031e-310] [6.92674568e-310 6.92674568e-310 6.92661031e-310] [6.92674569e-310 6.92674565e-310 6.92674570e-310]] [[6.92661031e-310 6.92674569e-310 6.92661031e-310] [6.92674571e-310 6.92674568e-310 6.92661031e-310] [6.92674570e-310 6.92674569e-310 1.10670705e-321]]] Array type... float64 Our Array Dimensions... 3 Number of elements... 27
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