The less() function of NumPy module

Overview:

The less() function of NumPy module compares the elements of two NumPy array-likes and returns the results in a Boolean array. If element1 is less than element2 than the result is True; The result is False otherwise. If the input parameters are scalars than a Boolean value is returned.
The less() function does the opposite of the greater() function.

Example:

The Python example uses random.uniform() to generate random floating point numbers between the given range of 5.1 and 9.1 and fills the ndarray objects.

# Example Python program that compares the elements
# of two ndarray instances using numpy.less() function
import numpy
import random

# Function that fills a 3x3 ndarray with random
# floating point numbers between 5.1 and 9.1
def fillFloats(arr_in):
for x in range(0, 3):
for y in range(0, 3):
arr_in[x][y] = random.uniform(5.1, 9.1)

# Create 3x3 ndarray to store floating point numbers
fArray1 = numpy.ndarray(shape = (3, 3), dtype = float)

# Create 3x3 ndarray to store floating point numbers
fArray2 = numpy.ndarray(shape = (3, 3), dtype = float)

# Fill the arrays
fillFloats(fArray1)
fillFloats(fArray2)

print("Array1:")
print(fArray1)

print("Array2:")
print(fArray2)

# Compare using numpy.less() function
compareResults = numpy.less(fArray1, fArray2)

print("Array1 < Array2:")
print(compareResults)

Output:

Array1:

[[7.01322589 7.75920796 6.29760756]

[6.36789148 7.43626891 6.91623009]

[7.03070352 6.74934007 6.1260513 ]]

Array2:

[[5.76370196 8.00060042 6.89754765]

[8.54632546 8.67683287 6.35581307]

[7.50265029 6.64350998 6.67909488]]

Array1 < Array2:

[[False True True]

[ True True False]

[ True False True]]