numpy.ldexp() in Python Last Updated : 22 Jul, 2021 Comments Improve Suggest changes Like Article Like Report In Python, numpy.ldexp(arr1, arr2[, out]) function returns arr1 * (2**arr2), element-wise. This is also called as inverse of numpy.frexp() function. Syntax: numpy.ldexp()Parameters: arr1: [array_like] Array of multipliers. arr2: [array_like, int] Array of twos exponents. out: [ndarray, optional] Output array for the result.Returns: [ndarray, scalar] Return the result of arr1 * (2**arr2). This is a scalar if both arr1 and arr2 are scalars. Code #1: Python3 # Python program explaining # numpy.ldexp() method # importing numpy import numpy as geek # ldexp() Function on + ve nd -ve Numbers print(geek.ldexp(6, geek.arange(4))) print(geek.ldexp(-8, geek.arange(4))) # ldexp() Function on fractional Number print(geek.ldexp(5.2, geek.arange(3))) print(geek.ldexp(-3.2, geek.arange(3))) Output: [ 6. 12. 24. 48.] [ -8. -16. -32. -64.] [ 5.2 10.4 20.8] [ -3.2 -6.4 -12.8] Code #2: Complex data-types are not supported, they will raise a TypeError. Python3 # Python program explaining # numpy.ldexp() method # importing numpy import numpy as geek # ldexp() Function on complex dtypes print(geek.ldexp(-5 + 9J, geek.arange(4))) Output: TypeError: ufunc 'ldexp' not supported for the input types Comment More infoAdvertise with us Next Article Introduction to Machine Learning S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy python Practice Tags : Machine Learningpython Similar Reads Machine Learning Tutorial Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data.Do you 5 min read Introduction to Machine LearningIntroduction to Machine LearningMachine learning (ML) allows computers to learn and make decisions without being explicitly programmed. 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