In the realm of data science and computational tasks, 3D Numpy arrays are a vital tool for managing multi-dimensional data. This thread explores the different techniques of initializing these arrays with random values, along with example codes.
1. Using the np.empty function:
2. Using the np.zeros function:
3. Using the np.random.random_sample function:
All these methods will create a 3-dimensional NumPy array of shape (3, 4, 5) and fill it with random values in the range [0, 1).