# Divide a scalar value into every element of a masked Array and return the floor value in NumPy

To divide a scalar value into every element of a masked Array and return the floor value after division, use the bma.MaskedArray.__floordiv__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.

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
import numpy.ma as ma

Create an array with int elements using the numpy.array() method −

arr = np.array([[85, 68, 81, 84], [67, 33, 39, 53], [29, 88, 51, 37], [56, 45, 67, 85]])
print("Array...
", arr) print("
Array type...
", arr.dtype)

Get the dimensions of the Array −

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

Create a masked array and mask some of them as invalid −

maskArr = ma.masked_array(arr, mask =[[1, 1, 0, 0], [ 0, 0, 1, 0], [0, 0, 0, 1], [0, 1, 0, 0]])
print("

Get the dimensions of the Masked Array −

print("

Get the shape of the Masked Array −

print("

Get the number of elements of the Masked Array −

print("

The scalar value −

val = 3
print("
The given value to be divided...
",val)

To divide a scalar value into every element of a masked Array and return the floor value after division, use the ma.MaskedArray.__floordiv__() method −

print("

## Example

import numpy as np
import numpy.ma as ma

# Create an array with int elements using the numpy.array() method
arr = np.array([[85, 68, 81, 84], [67, 33, 39, 53], [29, 88, 51, 37], [56, 45, 67, 85]])
print("Array...
", arr) print("
Array type...
", arr.dtype) # Get the dimensions of the Array print("
Array Dimensions...
",arr.ndim) # Create a masked array and mask some of them as invalid maskArr = ma.masked_array(arr, mask =[[1, 1, 0, 0], [ 0, 0, 1, 0], [0, 0, 0, 1], [0, 1, 0, 0]]) print("
",maskArr.shape) # Get the number of elements of the Masked Array print("
",maskArr.size) # The scalar value val = 3 print("
The given value to be divided...
",val) # To divide a scalar value into every element of a masked Array and return the floor value after division, # use the ma.MaskedArray.__floordiv__() method print("

## Output

Array...
[[85 68 81 84]
[67 33 39 53]
[29 88 51 37]
[56 45 67 85]]

Array type...
int64

Array Dimensions...
2

[[-- -- 81 84]
[67 33 -- 53]
[29 88 51 --]
[56 -- 67 85]]

int64

2

(4, 4)

16

The given value to be divided...
3

[[-- -- 27 28]
[22 11 -- 17]
[9 29 17 --]
[18 -- 22 28]]

Updated on: 05-Feb-2022

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