Creating Larger Arrays Using np.zeros() Function in NumPy

When working with NumPy, creating arrays of specific sizes filled with zeros is a common task, especially when initializing arrays for later use. While np.array() can be used to create arrays filled with zeros, an alternative method is to utilize the np.zeros() function provided by the NumPy library.

The np.zeros() Function

The np.zeros() function creates an array filled with zeros of a specified shape. It takes the desired shape of the array as input and returns a new array initialized with zeros.

• shape: Shape of the array, represented as a tuple of integers.
• dtype (optional): Data type of the array elements. Default is float.
• order (optional): Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order. Default is 'C'.