Python

In this tutorial, we will look at the syntax and usage of the numpy arange() function with the help of some examples. What does numpy arange() do? The numpy arange() function is used to create an array of evenly spaced values in a given interval with a uniform step size. The following is the syntax: […]

In this tutorial, we will look at the syntax and usage of the numpy logspace function with the help of some examples. What is numpy logspace() used for? The numpy logspace() function is used to create an array of equally spaced values between two numbers on the logarithmic scale. The following is the syntax: It

In this tutorial, we will look at how to use the numpy vstack method to vertically stack (or concat) numpy arrays with the help of some examples. How to concatenate numpy arrays vertically? You can use the numpy vstack() function to stack numpy arrays vertically. It concatenates the arrays in sequence vertically (row-wise). The following

In this tutorial, we will look at the numpy linspace method with the help of some examples. We will also look at a range of different use-cases where you might need this method. What does numpy linspace do? The numpy linspace() function is used to create an array of equally spaced values between two numbers.

In this tutorial, we will look at how to transpose a numpy array with the help of some examples. Speicifically, we will look at the usage of the numpy ndarray transpose() function and the numpy ndarray .T attribute. The transpose operation in numpy is generally applied on 2d arrays to swipe the rows and columns

In this tutorial, we will look at how to remove elements from a numpy array based on their index with the help of simple examples. Delete specific elements from numpy array You can use the np.delete() function to remove specific elements from a numpy array based on their index. The following is the syntax: Note

In this tutorial, we will look at how to perform elementwise multiplication of two numpy arrays with the help of some examples. Multiply two numpy arrays You can use the numpy np.multiply() function to perform the elementwise multiplication of two arrays. You can also use the * operator as a shorthand for np.multiply() on numpy

In this tutorial, we will look at how to get a numpy array resulting from the elementwise sum of two numpy arrays of the same dimensions. Add two numpy arrays You can use the numpy np.add() function to get the elementwise sum of two numpy arrays. The + operator can also be used as a

In this tutorial, we will look at how to get the sum of values of a numpy array. We will also look at specific use-cases like summing along an axis for higher dimensional arrays. How to sum a numpy array? You can use the numpy sum() function to sum elements of an array. The following

In this tutorial, we will look at how to count zeros in a numpy array. We will also look at how to count zeros present in each row and each column of a 2d array. How to count zeros in a numpy array? You can use np.count_nonzero() or the np.where() functions to count zeros in