What are the different methods to create arrays in NumPy?

What are the different methods to create arrays in NumPy?

In NumPy, you can create arrays using several methods such as np.array(), np.zeros(), np.ones(), np.arange(), and np.linspace(). Would you like to know more about any specific method?

Can you explain how to use np.zeros()?

Sure! The np.zeros() function creates an array filled with zeros. You can specify the shape of the array as a tuple. For example, np.zeros((2, 3)) creates a 2x3 array of zeros.

What about np.arange()?

np.arange() generates an array with evenly spaced values within a given interval. For instance, np.arange(0, 10, 2) creates an array with values [0, 2, 4, 6, 8]. Would you like to see more examples?

Yes, please provide an example of np.linspace().

Certainly! np.linspace(start, stop, num) generates num evenly spaced samples between start and stop. For example, np.linspace(0, 1, 5) produces the array [0. , 0.25, 0.5, 0.75, 1. ].