您不能对作为对象的numpy数组进行四舍五入
astype，只要可以将数组安全地转换为float即可更改此值：
>>> a = np.random.rand(5).astype(np.object)>>> aarray([0.5137250555772075, 0.4279757819721647, 0.4177118178603122, 0.6270676923544128, 0.43733218329094947], dtype=object)>>> np.around(a,3)Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 2384, in around return round(decimals, out)AttributeError: rint>>> np.around(a.astype(np.double),3)array([ 0.514, 0.428, 0.418, 0.627, 0.437])
对于字符串，unipre，void和char类型的数组，您将收到类似的错误。
