我正在尝试创建一个掩码数组(或至少填充 NaN),该数组仅提供第 n 个(示例中的第 8 个)位置的值。该数组的长度应与原始数组的长度相同。
有没有一种不那么荒谬的方法来做到这一点?
b = np.array([[i for i in 7*[np.nan] + [val]] for val in a[::8]]).flatten()[7:]
最佳答案
一种方法是使用切片分配:
>>> a
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63])
>>> b = numpy.array([numpy.NaN] * len(a))
>>> b[::8] = a[::8]
>>> b
array([ 0., nan, nan, nan, nan, nan, nan, nan, 8., nan, nan,
nan, nan, nan, nan, nan, 16., nan, nan, nan, nan, nan,
nan, nan, 24., nan, nan, nan, nan, nan, nan, nan, 32.,
nan, nan, nan, nan, nan, nan, nan, 40., nan, nan, nan,
nan, nan, nan, nan, 48., nan, nan, nan, nan, nan, nan,
nan, 56., nan, nan, nan, nan, nan, nan, nan])
关于python - 如何在迭代器中屏蔽除第 n 个元素之外的每个元素?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/26318070/