numpy Archives - onlinetutorialspoint

How to split Numpy Arrays ?

Aditya — Wed, 16 Dec 2020 08:06:07 +0000

In this tutorial, we will see how to divide an array into multiple parts. We will use the splitting operation of NumPy arrays to split arrays into rows or columns. How to split NumPy arrays horizontally into equal parts? We can use the hsplit() method of NumPy module to split a given NumPy array into

The post How to split Numpy Arrays ? appeared first on onlinetutorialspoint.

How to Join NumPy Arrays ?

Aditya — Sun, 13 Dec 2020 07:41:04 +0000

In this tutorial we will see how to join different numpy arrays horizontally and vertically using different methods.We can merge multiple numpy arrays to form a new numpy array which will contain all the arrays given as input. Numpy provides the stacking concept which contains a number of functions that will help in merging the

The post How to Join NumPy Arrays ? appeared first on onlinetutorialspoint.

Shape Manipulation of Numpy Arrays

Aditya — Sat, 05 Dec 2020 04:53:02 +0000

In this tutorial, we are going to discuss the shape manipulation of NumPy arrays. We will see how to convert a one-dimensional array into a matrix and vice-versa. We will also see how to find the transpose of a matrix. What is shape Manipulation of arrays in Python? Shape manipulation is a technique by which

The post Shape Manipulation of Numpy Arrays appeared first on onlinetutorialspoint.

Slicing NumPy Arrays

Aditya — Thu, 03 Dec 2020 05:12:55 +0000

Slicing is the way by which we can extract the portion of an array to generate a new array. In this tutorial, we will see how to use slicing on numpy arrays. For slicing we use a sequence of numbers separated by “:” within square brackets.If we want to slice an array A from index

The post Slicing NumPy Arrays appeared first on onlinetutorialspoint.

Indexing in NumPy Arrays

Aditya — Wed, 02 Dec 2020 06:11:07 +0000

In this tutorial, we will see how to access elements from a numpy array with the help of indexing to obtain the values in the arrays or assigning new values to the elements. Indexing in 1-D numpy arrays Python uses square brackets [] to index the elements of an array. When we are using 1-D

The post Indexing in NumPy Arrays appeared first on onlinetutorialspoint.

NumPy Matrix Multiplication Example

Aditya — Mon, 30 Nov 2020 05:40:17 +0000

In this tutorial, we will see how to do Numpy Matrix Multiplication using NumPy library. NumPy Multiplication: Let's say we have two 2-d arrays say arr1 and arr2, then if we do arr1*arr2 then it does element-wise multiplication, just like below. import numpy as np arr1 = np.array([[1,2,3],[1,2,3]]) arr2 = np.array([[4,5,6],[4,5,6]]) print(arr1*arr2) Output: [[ 4

The post NumPy Matrix Multiplication Example appeared first on onlinetutorialspoint.

Arithmetic Operations on NumPy Arrays

Aditya — Sat, 28 Nov 2020 12:42:27 +0000

In this tutorial, we will see how to perform basic arithmetic operations, apply trigonometric and logarithmic functions on the array elements of a NumPy array. We will also see how to find sum, mean, maximum and minimum of elements of a NumPy array and then we will also see how to perform matrix multiplication using

The post Arithmetic Operations on NumPy Arrays appeared first on onlinetutorialspoint.

What is Python NumPy Library

Pranay — Fri, 30 Oct 2020 12:56:24 +0000

In this article, we are going to learn basics about, what is Python NumPy Library and how to create arrays in NumPy. Introduction to Python NumPy Library NumPy stands for Numerical Python. It has many inbuilt Mathematical functions for fast calculations without writing loops. NumPy functions are usually 10 to 100 times efficient than native

The post What is Python NumPy Library appeared first on onlinetutorialspoint.