PYTHON

numpy linspace

np.linspace(start = 0, stop = 100, num = 5)

numpy linspace

np.linspace([start], [end], [amount of numbers])

np.linspace() in python

>>> np.linspace(2.0, 3.0, num=5)
array([2.  , 2.25, 2.5 , 2.75, 3.  ])
>>> np.linspace(2.0, 3.0, num=5, endpoint=False)
array([2. ,  2.2,  2.4,  2.6,  2.8])
>>> np.linspace(2.0, 3.0, num=5, retstep=True)
(array([2.  ,  2.25,  2.5 ,  2.75,  3.  ]), 0.25)

numpy linspace

np.linspace(0, 10, 5)  # evenly-spaced 5 numbers in [0, 10]
# [ 0. ,  2.5,  5. ,  7.5, 10. ]

np.linspace

Return evenly spaced numbers over a specified interval

np.linspace() in python

>>> import matplotlib.pyplot as plt
>>> N = 8
>>> y = np.zeros(N)
>>> x1 = np.linspace(0, 10, N, endpoint=True)
>>> x2 = np.linspace(0, 10, N, endpoint=False)
>>> plt.plot(x1, y, 'o')
[<matplotlib.lines.Line2D object at 0x...>]
>>> plt.plot(x2, y + 0.5, 'o')
[<matplotlib.lines.Line2D object at 0x...>]
>>> plt.ylim([-0.5, 1])
(-0.5, 1)
>>> plt.show()

numpy linspace function

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0)

-> start  : [optional] start of interval range. By default start = 0
-> stop   : end of interval range
-> num    : [int, optional] No. of samples to generate
-> restep : If True, return (samples, step). By default restep = False
-> dtype  : type of output array

numpy linspace function

np.linespace('Start_number', 'Stop_number', 'Chunks numbers'