Python `AttributeError: rint` 使用 numpy.round 时
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`AttributeError: rint` when using numpy.round
提问by Abhishek Thakur
I have a numpy array that looks like this:
我有一个看起来像这样的 numpy 数组：
[[41.743617 -87.626839]
[41.936943 -87.669838]
[41.962665 -87.65571899999999]]
I want to round the numbers in the array to two decimal places, or three. I tried using numpy.around and numpy.round, but both of them give me the following error:
我想将数组中的数字四舍五入到两位小数或三位。我尝试使用 numpy.around 和 numpy.round，但它们都给了我以下错误：
File "/Library/Python/2.7/site-packages/numpy-1.8.0.dev_3084618_20130514-py2.7-macosx-10.8-intel.egg/numpy/core/fromnumeric.py", line 2452, in round_
return round(decimals, out)
AttributeError: rint
i used numpy.around(x, decimals = 2)and numpy.round(x,decimals=2)
我用过numpy.around(x, decimals = 2)和numpy.round(x,decimals=2)
Am I doing something wrong? Is there any other way to do this efficiently for a large array?
难道我做错了什么？对于大型阵列，还有其他方法可以有效地做到这一点吗？
采纳答案by Daniel
You cannot round numpy arrays that are objects, this can be changed with astypeas long as your array can be safely converted to floats:
您不能对作为对象的 numpy 数组进行舍入astype，只要您的数组可以安全地转换为浮点数，就可以更改它：
>>> a = np.random.rand(5).astype(np.object)
>>> a
array([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])
You will receive similar errors with string, unicode, void, and char type arrays.
对于字符串、unicode、void 和 char 类型数组，您将收到类似的错误。
回答by Sam Tubb
You could do something like this:
你可以这样做：
numbers=[22.2,99.123,1213.1230]
newnumbers=[]
for n in numbers:
newnumbers.append(round(n))
#for comparison
print numbers
print newnumbers
回答by Claudiu
numpy.aroundshould work on a list of lists:
numpy.around应该处理列表列表：
>>> import numpy as np
>>> arr = [[41.743617, -87.626839],
[41.936943, -87.669838],
[41.962665, -87.65571899999999]]
>>>
>>> np.around(arr, decimals=2)
array([[ 41.74, -87.63],
[ 41.94, -87.67],
[ 41.96, -87.66]])
>>> np.round(arr, decimals=2)
array([[ 41.74, -87.63],
[ 41.94, -87.67],
[ 41.96, -87.66]])
However, note that it doesn't work on python longs. In fact it gives the same error you reported:
但是，请注意它不适用于 python longs。实际上，它给出了您报告的相同错误：
>>> np.round(3892438942893489234899848939)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/csaftoiu/work/venv/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 2401, in round_
return _wrapit(a, 'round', decimals, out)
File "/Users/csaftoiu/work/venv/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 38, in _wrapit
result = getattr(asarray(obj),method)(*args, **kwds)
AttributeError: rint
What seems to be happening is that numpy can't convert some of the numbers in your python list to one of its data types. If it's a long then it's not a problem because it's already rounded, but you'll have to work around it.
似乎正在发生的事情是 numpy 无法将 Python 列表中的某些数字转换为其数据类型之一。如果它很长，那么这不是问题，因为它已经四舍五入了，但是您必须解决它。
