Category: Data Science

Data manipulation is an integral part of data preparation. This is especially so

To remove an element from a NumPy array: Specify the index of the

A NumPy array does not have a built-in append method. Instead, to append

To create an empty NumPy array: Specify the shape of the array. Call

In NumPy, -1 in reshape(-1) refers to an unknown dimension that the reshape()

In NumPy, the @ operator means matrix multiplication. For instance, let’s multiply two

To transpose a matrix with NumPy, call the transpose() method. For instance: Output:

To concatenate two arrays with NumPy: Import numpy. Put two arrays in a

To check if two NumPy arrays A and B are equal: Use a