# Return element-wise quotient and remainder simultaneously in Python Numpy

To return the element-wise quotient and remainder simultaneously, use the numpy.fmod() method in Python Numpy. Here, the 1st parameter is the Dividend array. The 2nd parameter is the Divisor array.

This is the NumPy implementation of the C library function fmod, the remainder has the same sign as the dividend x1. It is equivalent to the Matlab(TM) rem function and should not be confused with the Python modulus operator x1 % x2.

The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

## Steps

At first, import the required library −

import numpy as np

Create an array. This is the dividend array −

arr = np.array([5, 9, 14, 22, 76, 81, 91])


Display the arrays −

print("Array...", arr)

Get the type of the arrays −

print("Our Array type...", arr.dtype)


Get the dimensions of the Arrays −

print("Our Array Dimension...",arr.ndim)

Get the shape of the Arrays −

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


Divisor array −

divisor = np.array([3, 7, 3, 3, 2, 7, 7])

To return the element-wise quotient and remainder simultaneously, use the numpy.fmod() method. Here, the 1st parameter is the Dividend array. The 2nd parameter is the Divisor array −

print("Result...",np.divmod(arr, divisor))


## Example

import numpy as np

# Create an array
# This is the dividend array
arr = np.array([5, 9, 14, 22, 76, 81, 91])

# Display the array
print("Array...", arr)

# Get the type of the array
print("Our Array type...", arr.dtype)

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

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

# Divisor array
divisor = np.array([3, 7, 3, 3, 2, 7, 7])

# To return the element-wise quotient and remainder simultaneously, use the numpy.fmod() method in Python Numpy
# Here, the 1st parameter is the Dividend array
# The 2nd parameter is the Divisor array
print("Result...",np.divmod(arr, divisor))

## Output

Array...
[ 5 9 14 22 76 81 91]

Our Array type...
int64

Our Array Dimension...
1

Our Array Shape...
(7,)

Result...
(array([ 1, 1, 4, 7, 38, 11, 13]), array([2, 2, 2, 1, 0, 4, 0]))