November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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352
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附录
In [115]: ai = np.arange(10)
In [116]: ai
Out[116]: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [117]: ai.dtype
Out[117]: dtype('int64')
In [118]: af = np.arange(0.5, 9.5, 0.5)
In [119]: af
Out[119]: array([0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 6. ,
6.5,
7. , 7.5, 8. , 8.5, 9. ])
In [120]: af.dtype
Out[120]: dtype('float64')
In [121]: np.linspace(0, 10, 12)
Out[121]: array([ 0. , 0.90909091, 1.81818182, 2.72727273,
3.63636364,
4.54545455, 5.45454545, 6.36363636, 7.27272727, 8.18181818,
9.09090909, 10. ])
通过
np.arange()
构造函数实例化一个
ndarray
对象。
打印数值。
得到的数据类型
是
np.int64
。
再次使 ...
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