2019年5月16日 星期四

[Python]Numpy linspace 的使用方法

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 (samplesstep), 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.
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.


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。

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