numpy.log2() in Python Last Updated : 29 Nov, 2018 Suggest changes Share Like Article Like Report numpy.log2(arr, out = None, *, where = True, casting = 'same_kind', order = 'K', dtype = None, ufunc 'log1p') : This mathematical function helps user to calculate Base-2 logarithm of x where x belongs to all the input array elements. Parameters : array : [array_like]Input array or object. out : [ndarray, optional]Output array with same dimensions as Input array, placed with result. **kwargs : Allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone. Return : An array with Base-2 logarithmic value of x; where x belongs to all elements of input array. Code 1 : Working Python3 # Python program explaining # log2() function import numpy as np in_array = [1, 3, 5, 2**8] print ("Input array : ", in_array) out_array = np.log2(in_array) print ("Output array : ", out_array) print("\nnp.log2(4**4) : ", np.log2(4**4)) print("np.log2(2**8) : ", np.log2(2**8)) Output : Input array : [1, 3, 5, 256] Output array : [ 0. 1.5849625 2.32192809 8. ] np.log2(4**4) : 8.0 np.log2(2**8) : 8.0 Code 2 : Graphical representation Python3 # Python program showing # Graphical representation of # log2() function import numpy as np import matplotlib.pyplot as plt in_array = [1, 1.2, 1.4, 1.6, 1.8, 2] out_array = np.log2(in_array) print ("out_array : ", out_array) plt.plot(in_array, in_array, color = 'blue', marker = "*") # red for numpy.log2() plt.plot(out_array, in_array, color = 'red', marker = "o") plt.title("numpy.log2()") plt.xlabel("out_array") plt.ylabel("in_array") plt.show() Output : out_array : [ 0. 0.26303441 0.48542683 0.67807191 0.84799691 1. ] References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp.html . M mohit gupta_omg :) Follow Article Tags : Python Python-numpy Python numpy-Logic Functions Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read My Profile ${profileImgHtml} My Profile Edit Profile My Courses Join Community Transactions Logout Like