Five Simple NumPy Functions

What is NumPy?

NumPy is an open source project aiming to enable numerical computing with Python and builds on (and is a successor to) the successful Numeric array object.

It provides two fundamental objects: an N-dimensional array object (ndarray) and a universal function object (ufunc). In addition, there are other objects that build on top of these.

The current notebook will only provide a brief outline of five NumPy functions which is important to get a very rough idea about a data-set:

• np.linalg.solve
• np.nonzero
• np.random.randint
• np.median
• np.corrcoef

Where the numpy package has been imported under the alias np.

Function 1 - np.linalg.solve

What is the general form?

np.linalg.solve(A, b)

What is the output?

Computes the exact solution, $x$ of the well-determined, i.e., full rank, linear matrix equation, or system of linear scalar equations of the form: $Ax = b$, where coefficient matrix $A$ is a 2-d array and $b$ is a 1-d or 2-d array of ordinates or dependent variable values.