46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import numpy as np
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a1 = np.array([i for i in range(10)])
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a2 = np.zeros(10)
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a3 = np.ones(10)
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a4 = np.ones((3,5))
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a5 = np.full((3,5),123)
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a6 = np.arange(0,10,2)
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# 0到10之间 插入15个元素
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a7 = np.linspace(0,10,15)
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# random
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a8 = np.random.randint(0,10,size=(3,5),dtype=int)
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a9 = np.random.random((3,5))
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# 参数loc(float)：正态分布的均值，对应着这个分布的中心。
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# 参数scale(float)：正态分布的标准差
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# 参数size(int 或者整数元组)：输出矩阵的shape，默认为None
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a10 = np.random.normal(0,10,(3,5))
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# seed( ) 是用于指定随机数生成时所用算法开始的整数值，
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# 代码中每执行一次都使用了相同的随机数种子28，所以生成的随机数是相同的。
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np.random.seed(12)
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a11 = np.random.random((3,5))
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np.random.seed(12)
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a12 = np.random.random((3,5))
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a13 = np.ndarray((4,2),dtype='f')
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l = [1,2,3,4]
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a14 = np.array(l)
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print(f"a1 = {a1} "
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f"a2 = {a2} "
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f"a3 = {a3} "
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f"a4 = {a4} "
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f"a5 = {a5} "
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f"a6 = {a6} "
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f"a7 = {a7} "
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f"a8 = {a8} "
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f"a9 = {a9} "
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f"a10 = {a10} "
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f"a11 = {a11} "
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f"a12 = {a12} "
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f"a13 = {a13} "
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f"a14 = {a14} "
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)
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a = np.array([2,3,1])
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b = np.array([1,2,1])
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print(f"a15 = {(a*b).sum()} a len = {len(a)}") |