NumPy where(): Using Conditional Array Operations

  NumPy’s where() function is a powerful tool for performing conditional operations on arrays. This guide explores how to use np.where() effectively for array manipulation and data processing. Understanding np.where() The where() function works like a vectorized if-else statement, returning elements chosen from two arrays based on a condition. Its basic syntax is: numpy.where(condition, x, […]

Read More
codes on screen

How To Use The Num Py Zeros Function

NumPy is one of the foundational modules in the Python library that provides developers working with other modules such as scikit-learn and pandas rely on. Its zeros() function enables the creation of new arrays of various types filled with zero values. It accepts three parameters and returns arrays filled with floating-point zeros by default. The […]

Read More