Compare and return True if a Numpy array is less than equal to another

To compare and return True if an array is less than equal to another, use the numpy.char.less_equal() method in Python Numpy. The arr1 and arr2 are the two input string arrays of the same shape.

Unlike numpy.less_equal, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray.

The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.

Steps

At first, import the required library −

import numpy as np

Create two One-Dimensional arrays of string −

arr1 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])
arr2 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad', 'aaa'])

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 compare and return True if an array is less than equal to another, use the numpy.char.less_equal() method. The arr1 and arr2 are the two input string arrays of the same shape −

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

Example

import numpy as np

# Create two One-Dimensional arrays of string
arr1 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])
arr2 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad', 'aaa'])

# 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 compare and return True if an array is less than equal to another, use the numpy.char.less_equal() method in Python Numpy
# The arr1 and arr2 are the two input string arrays of the same shape.
print("
Result...
",np.char.less_equal(arr1,arr2))

Output

Array 1...
['Cio' 'Tom' 'Cena' 'Kate' 'Adams' 'brad' 'aa']

Array 2...
['Bella' 'Tom' 'John' 'Kate' 'Amy' 'Brad' 'aaa']

Our Array 1 type...
<U5

Our Array 2 type...
<U5

Our Array 1 Dimensions...
1

Our Array 2 Dimensions...
1

Our Array 1 Shape...
(7,)

Our Array 2 Shape...
(7,)

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