NumPy add() is a mathematical function and is used to calculate the addition between two NumPy arrays. This function adds given arrays element-wise. The add() function returns a scalar or…

NumPy cross() function in Python is used to compute the cross-product of two given vector arrays. In other words. A cross product is a mathematical tool to get the perpendicular…

NumPy multiply() function is used to compute the element-wise multiplication of the two arrays with the same shape or multiply one array with a single numeric value. This function provides…

NumPy flip() function in Python is used to reverse the order of array elements along the given axis. The shape of the array is preserved, but the elements are reordered.…

Convert the NumPy matrix to an array can be done by taking an N-Dimensional array (matrix) and converting it to a single dimension array. There are various ways to transform…

NumPy stack() function is used to stack or join the sequence of given arrays along a new axis. It generates a single array by taking elements from the sequence of…

NumPy vstack() function in Python is used to stack or concate the sequence of given arrays vertically(row-wise). It takes all elements from the given arrays and forms a single array,…

NumPy hstack() function in Python is used to stack or concatenate arrays in sequence horizontally (column-wise). This process is similar to concatenate arrays along the second axis, except for 1-D…

NumPy full() function in Python is used to return a new array of a given shape and data type filled with fill_value. In this article, I will explain syntax and…

NumPy log() function in Python is used to compute the natural logarithm of x where x, such that all the elements of the given array. The natural logarithm log is the inverse…