Piyush Raj

In this tutorial, we will look at the numpy vsplit() function and its usage with the help of some examples. What is does numpy vsplit() do? The numpy vsplit() function is used to split a numpy array into multiple sub-arrays vertically (row-wise). Pass the input array and the number of sub-arrays as arguments. The following […]

In this tutorial, we will look at the numpy hsplit() function and its usage with the help of some examples. What does numpy hsplit() do? The numpy hsplit() function is used to split a numpy array into multiple sub-arrays horizontally (column-wise). Pass the input array and the number of sub-arrays as arguments. The following is

In this tutorial, we will look at the numpy unique() function and its use-cases with the help of some examples. How to get unique values in a numpy array? You can use the numpy unique() function to get the unique values of a numpy array. Pass the array for which you want the get the

In this tutorial, we will look at how to trim zeros in python from a numpy array with the help of some examples. What is numpy trim_zeros()? The trim_zeros() function in numpy is used to trim leading and/or trailing zeros from a one-dimensional numpy array or sequence. The following is the syntax. Here, “flit” is

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

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