arr1: [array_like] Input array or object which works as dividend.
arr2: [array_like] Input array or object which works as divisor.
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.
An array with arr1 / arr2 (element-wise) as elements of output array.
Code 1: Divide arr1 into arr2 elements
arr1: [2, 27, 2 , 21, 23] ar r2: [2, 3, 4, 5, 6] Output array: [1. 9. 0.5 4.2 3.83333333]
Code 2: arr1 elements separated by divisor p >
arr1: [2, 27, 2, 21, 23] arr2: [2, 3, 0, 5, 6] Output array: [1. 9. inf 4.2 3.83333333] RuntimeWarning: divide by zero encountered in true_divide out = np.power (arr1, arr2)
If you can program, you are ready to grapple with Bayesian statistics. In this book, you'll learn how to solve statistical problems using Python code instead of math formulas, using discrete probabili...
Acquire and analyze data from all corners of the social web with Python. This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social m...
The role of adaptation, learning and optimization are becoming increasingly essen- tial and intertwined. The capability of a system to adapt either through modification of its physiological structure ...
R for Everyone: Advanced Analytics and Graphics. ...