Range

Another cool feature of numpy is the opportunity to create various kinds of arrays.

np.arange(start, end, increment) creates arrays with incrementing values:

np.arange(5)
>>> array([0, 1, 2, 3, 4])

np.arange(3, 7, dtype=float)
>>> array([3., 4., 5., 6.])

np.arange(1, 2, 0.1)
>>> array([1., 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9])

np<strong>.</strong>linspace(start, end, elements) creates arrays with a fixed amount of elements and with equal spaces between them:

np.linspace(0, 10, 6)
>>> array([ 0.,  2.,  4.,  6.,  8., 10.])