NumPy Log Base 2 Tutorial | numpy.log2() in Python
Introduction
In this article, we will look at the NumPy Python library’s numpy.log2() function, which is used to calculate the logarithm base 2 of its inputs. With the help of several examples of the np.log2() function, we will explore its syntax and different uses.
Syntax of Numpy.log2()
The syntax of the Numpy Log2 function is as below –
numpy.log2(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
- x: It denotes the input array or object that can be converted to an array.
- out: It is the optional parameter that specifies the array where the result will be stored as output.
- Other parameters like where, casting, order, dtype, subok, signature, and extobj are optional and not