# Return the truth value of an array less than equal to another element-wise in Numpy

To return the truth value of an array less than equal to another element-wise, use the numpy.less_equal() method in Python Numpy. Return value is either True or False. Returns output array, element-wise comparison of x1 and x2. Typically of type bool, unless dtype=object is passed. This is a scalar if both x1 and x2 are scalars.

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.

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

Creating two 2D numpy array using the array() method. We have inserted elements of int type −

arr1 = np.array([[49, 76, 61], [82, 69, 29]])
arr2 = np.array([[40, 60, 61], [81, 55, 32]])

Display the arrays −

print("Array 1...", arr1)
print("Array 2...", arr2)

Get the type of the arrays −

print("Our Array 1 type...", arr1.dtype)
print("Our Array 2 type...", arr2.dtype)

Get the dimensions of the Arrays −

print("Our Array 1 Dimensions...",arr1.ndim)
print("Our Array 2 Dimensions...",arr2.ndim)

Get the shape of the Arrays −

print("Our Array 1 Shape...",arr1.shape)
print("Our Array 2 Shape...",arr2.shape)

To return the truth value of an array less than equal to another element-wise, use the numpy.less_equal() method. Return value is either True or False −

print("Result...",np.less_equal(arr1, arr2))

## Example

import numpy as np

# Creating two 2D numpy array using the array() method
# We have inserted elements of int type
arr1 = np.array([[49, 76, 61], [82, 69, 29]])
arr2 = np.array([[40, 60, 61], [81, 55, 32]])

# Display the arrays
print("Array 1...", arr1)
print("Array 2...", arr2)

# Get the type of the arrays
print("Our Array 1 type...", arr1.dtype)
print("Our Array 2 type...", arr2.dtype)

# Get the dimensions of the Arrays
print("Our Array 1 Dimensions...",arr1.ndim)
print("Our Array 2 Dimensions...",arr2.ndim)

# Get the shape of the Arrays
print("Our Array 1 Shape...",arr1.shape)
print("Our Array 2 Shape...",arr2.shape)

# To return the truth value of an array less than equal to another element-wise, use the numpy.less_equal() method in Python Numpy
# Return value is either True or False
print("Result...",np.less_equal(arr1, arr2))

## Output

Array 1...
[[49 76 61]
[82 69 29]]

Array 2...
[[40 60 61]
[81 55 32]]

Our Array 1 type...
int64

Our Array 2 type...
int64

Our Array 1 Dimensions...
2

Our Array 2 Dimensions...
2

Our Array 1 Shape...
(2, 3)

Our Array 2 Shape...
(2, 3)

Result...
[[False False True]
[False False True]]