Python在滚动窗口中操作多个数据阵列

consider the following code:

考虑以下代码：

class MyClass(object):

    def __init__(self):

        self.data_a = np.array(range(100))
        self.data_b = np.array(range(100,200))
        self.data_c = np.array(range(200,300))

    def _method_i_do_not_have_access_to(self, data, window, func):

        output = np.empty(np.size(data))

        for i in xrange(0, len(data)-window+1):
            output[i] = func(data[i:i+window])

        output[-window+1:] = np.nan

        return output

    def apply_a(self):

        a = self.data_a

        def _my_func(val):
            return sum(val)

        return self._method_i_do_not_have_access_to(a, 5, _my_func)

my_class = MyClass()
print my_class.apply_a()
class