binary_repr() function of numpy

Overview:

The NumPy function binary_repr() returns a string of binary bits(i.e., ones and zeros) for a given number. The number could be any NumPy scalar of integer type or Boolean Type.
For negative integers the function returns the string of binary bits in twos complement form.
Unlike the other functions of NumPy, that perform bit-wise operations the binary_repr() function does not operate on one or more numpy array-likes or with a combination of array-like and scalar. It takes one numpy scalar and returns the corresponding binary string.
For a given integer the built-in function bin() also returns a string of binary bits. However, the output of the built-in function bin() does not accept bit-width as a parameter like the Numpy binary_repr() does. Because of this, there is no need for the bin() function to use zfill() and prefix the results with zeros.

Example:

# Example Python program that converts the
# given numpy scalars(integer and Boolean)
# to binary strings.
import sys
import numpy

# Start with True
num = True #CPython type
binaryForm = numpy.binary_repr(num, 8)
print("Boolean value: True")
print(binaryForm)

num = numpy.bool(True) #NumPy type
binaryForm = numpy.binary_repr(num, 8)
print(binaryForm)

# Maximum integer value
num = sys.maxsize #CPython type
binaryForm = numpy.binary_repr(num, 64)
print("Integer value in decimal form:%d"%num)
print("Integer value in binary form:")
print(binaryForm)

# Negative value
num = numpy.byte(-5)
binaryForm = numpy.binary_repr(num, 8)
print("Negative integer value:%d"%num)
print("Negative value in binary form:")
print(binaryForm)
print(type(binaryForm))

Output:

Boolean value: True

00000001

Integer value in decimal form:9223372036854775807

Integer value in binary form:

0111111111111111111111111111111111111111111111111111111111111111

Negative integer value:-5

Negative value in binary form:

11111011

Binary_repr() function of numpy

Overview:

Example:

Output: