计算跨轴的 numpy 数组平均值

Question

我有一个带有形状的numpy数组：

(16L, 360L, 720L)

我如何找到平均值，以便生成的数组具有形状(16)即我想要 360 轴元素中每个元素的所有 720 * 16 值的平均值。

我试过这个：

np.mean(arr, axis=0)

但这在(360 * 720)形状上是一致的

Answer 1

有什么作用

np.mean(arr, axis=(1,2)

生产？

来自mean文档

   axis : None or int or tuple of ints, optional
        Axis or axes along which the means are computed. The default is to
        compute the mean of the flattened array.
        .. versionadded: 1.7.0
        If this is a tuple of ints, a mean is performed over multiple axes,
        instead of a single axis or all the axes as before.