Return a new array of given shape and type, filled with array-like in Numpy

To return a new array of given shape and type, filled with a fill value, use the numpy.full() method in Python Numpy. The 1st parameter is the shape of the new array. The 2nd parameter sets the fill value as array-like.

The dtype is the desired data-type for the array. The order suggests whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.

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

To return a new array of given shape and type, filled with a fill value, use the numpy.full() method. The 2nd parameter sets the fill value as array-like −

arr = np.full((2, 2), fill_value = [998, 999])

Display the array −

print("Array...
",arr)

Get the type of the array −

print("
Array datatype...
",arr.dtype)

Get the dimensions of the Array: −

print("
Array Dimensions...
",arr.ndim)

Get the shape of the array −

print("
Our Array Shape...
",arr.shape)

Get the number of elements of the Array −

print("
Elements in the Array...
",arr.size)

Example

import numpy as np

# To return a new array of given shape and type, filled with a fill value, use the numpy.full() method in Python Numpy
# The 1st parameter is the shape of the new array
# The 2nd parameter sets the fill value as array-like
arr = np.full((2, 2), fill_value = [998, 999])

# Displaying our array
print("Array...
",arr)

# Get the datatype
print("
Array datatype...
",arr.dtype)

# Get the dimensions of the Array
print("
Array Dimensions...
",arr.ndim)

# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)

# Get the number of elements of the Array
print("
Elements in the Array...
",arr.size)

Output

Array...
[[998 999]
[998 999]]

Array datatype...
int64

Array Dimensions...
2

Our Array Shape...
(2, 2)

Elements in the Array...
4

AmitDiwan

e

Updated on: 10-Feb-2022

121 Views

Kickstart Your Career

Get certified by completing the course

Get Started