# Return a new Three-Dimensional array without initializing entries and store the data in column-major order in Numpy

NumpyServer Side ProgrammingProgramming

To return a new Three-Dimensional array, without initializing entries, use the numpy.empty() method in Python Numpy. The 1st parameter is the Shape of the empty array. The order is changed using the "order" parameter. We have set the order to "F" i.e. Fortran-style, that means to store the data in column-major order in memory.

The dtype is the desired output data-type 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.

## Steps

At first, import the required library −

import numpy as np

Return a new Three-Dimensional array, without initializing entries using the numpy.empty() method in Python Numpy. The order is changed using the "order" parameter −

arr = np.empty([3, 3, 3], order = 'F')


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)


## Example

import numpy as np

# To return a new Three-Dimensional array, without initializing entries, use the numpy.empty() method in Python Numpy
# The 1st parameter is the Shape of the empty array
# The order is changed using the "order" parameter
# We have set the order to "F" i.e. Fortran-style, that means to store the data in column-major order in memory
arr = np.empty([3, 3, 3], order = 'F')

# 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...
[[[4.64748890e-310 6.91009533e-310 6.90996148e-310]
[6.91009686e-310 6.91009685e-310 6.91009688e-310]
[6.91009520e-310 6.91009686e-310 6.91009688e-310]]

[[0.00000000e+000 6.90996148e-310 6.91009686e-310]
[6.91009687e-310 6.91009685e-310 6.91009685e-310]
[6.90996151e-310 6.91009682e-310 6.91009686e-310]]

[[6.91009686e-310 6.90996148e-310 6.90996148e-310]
[6.91009687e-310 6.90996148e-310 6.90996148e-310]
[6.91009686e-310 6.91009688e-310 1.10670705e-321]]]

Array type...
float64

Our Array Dimensions...
3

Number of elements...
27