## Series, Data Frame, Panel

This author has written 75 articles

In numpy, we have one module linalg for all the functionalities for linear algebra. Like dot products, decomposition, solving equations etc. We will see some of the functions with some…

February 12, 2019

Numpy has a matrix library which has all the function in numpy subspace. It will return matrices instead of nd-arrays. Some functions are like empty, zeros, ones, eyes. Some of…

February 12, 2019

While copying the arrays in numpy, it is copying in a different manner if we use to view and copy function. We will see the difference between copy and view…

February 12, 2019

Byte Swapping It often happens that the memory that you want to view with an array is not of the same byte ordering as the computer on which you are…

February 12, 2019

Sort, Search and Counting Functions A.) Sorting functions 1.) sort(): It returns a sorted copy of the array. It takes parameters (array, axis, kind). Here for parameters axis means either along…

February 12, 2019

Statistical Functions Numpy has many useful statistical functions for calculating mean, minimum across any axis, variances etc. 1.) Order Statistics a.) Numpy.amin(): Returns the minimum across any axis. b.)…

February 12, 2019

Mathematical Functions 1. Trigonometric Functions A.) sin: Trigonometric sine elementwise. It has input an angle which is in radians(2*pie rad = 360 degrees). It has some similar functions to calculate cosine,…

February 12, 2019

Binary Operators Here are some functions in Numpy to perform binary operations. We will discuss them through example too. 1. bitwise_and: It basically performs AND operation between numbers for each…

February 12, 2019