我注意到了

In [30]: np.mean([1, 2, 3])
Out[30]: 2.0

In [31]: np.average([1, 2, 3])
Out[31]: 2.0

但是，应该有一些区别，因为它们毕竟是两个不同的功能。

它们之间有什么区别？

最佳答案

np.average 采用可选的权重参数。如果未提供，则它们是等效的。看一下源码:Mean , Average

np.mean:

try:
    mean = a.mean
except AttributeError:
    return _wrapit(a, 'mean', axis, dtype, out)
return mean(axis, dtype, out)

np.平均:

...
if weights is None :
    avg = a.mean(axis)
    scl = avg.dtype.type(a.size/avg.size)
else:
    #code that does weighted mean here

if returned: #returned is another optional argument
    scl = np.multiply(avg, 0) + scl
    return avg, scl
else:
    return avg
...

https://stackoverflow.com/questions/20054243/