numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)
[source]
Return evenly spaced numbers over a specified interval.
Returns num
evenly spaced samples, calculated over the interval [start
, stop
].
The endpoint of the interval can optionally be excluded.
Parameters: |
start : scalar The starting value of the sequence. stop : scalar The end value of the sequence, unless num : int, optional Number of samples to generate. Default is 50. Must be non-negative. endpoint : bool, optional If True, retstep : bool, optional If True, return ( dtype : dtype, optional The type of the output array. If New in version 1.9.0. |
---|---|
Returns: |
samples : ndarray There are step : float, optional Only returned if Size of spacing between samples. |
See also
>>> 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)
Graphical illustration:
>>> 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()
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.linspace.html