numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)
| Parameters: |
- start : array_like
The starting value of the sequence.
- stop : array_like
The end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.
- num : int, optional
Number of samples to generate. Default is 50. Must be non-negative.
- endpoint : bool, optional
If True, stop is the last sample. Otherwise, it is not included. Default is True.
- retstep : bool, optional
If True, return (samples, step), where step is the spacing between samples.
- dtype : dtype, optional
The type of the output array. If dtype is not given, infer the data type from the other input arguments.
New in version 1.9.0.
- axis : int, optional
The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end.
New in version 1.16.0.
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| Returns: |
- samples : ndarray
There are num equally spaced samples in the closed interval[start, stop] or the half-open interval [start, stop)(depending on whether endpoint is True or False).
- step : float, optional
Only returned if retstep is True
Size of spacing between samples.
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實作:
ex:
接著修改一下產生的數字數量
ex:
加入endpoint:
endpoint = True
endpoint = False
加入retstep:
加入dtype:
dtype = float
dtype = int
最後一個參數 axis 還看不太懂它的作用，之後再查查。
加入dtype:
dtype = int
最後一個參數 axis 還看不太懂它的作用，之後再查查。