What are the different types of NumPy arrays?

What are the different types of NumPy arrays?

NumPy primarily has two types of arrays: 1D arrays (vectors) and 2D arrays (matrices). There are also higher-dimensional arrays.

Can you explain 1D and 2D arrays with examples?

Sure! A 1D array is like a list of numbers, e.g., np.array([1, 2, 3]). A 2D array is a table, e.g., np.array([[1, 2], [3, 4]]).

What about higher-dimensional arrays?

Higher-dimensional arrays can have three or more dimensions, like a 3D array representing a cube of data, e.g., np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]).

Are there any specific functions to create these arrays?

Yes! You can use functions like np.zeros(), np.ones(), and np.arange() to create different types of arrays easily.