`AttributeError: rint` 使用 numpy.round 时 [英] `AttributeError: rint` when using numpy.round

问题描述

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]]

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，但它们都给我以下错误:

 文件/Library/Python/2.7/site-packages/numpy-1.8.0.dev_3084618_20130514-py2.7-macosx-10.8-intel.egg/numpy/core/fromnumeric.py"，第2452行, 在圆形_返回轮(小数，出)属性错误:rint

我使用了 numpy.around(x,decimals = 2)和 numpy.round(x,decimals=2)

我做错了吗?对于大型阵列，还有其他方法可以有效地做到这一点吗?

解决方案

你不能对作为对象的 numpy 数组进行舍入，这可以通过 astype 改变，只要你的数组可以安全地转换为浮点数:

<预><代码>>>>a = np.random.rand(5).astype(np.object)>>>一种数组([0.5137250555772075，0.4279757819721647，0.4177118178603122，0.6270676923544128, 0.43733218329094947], dtype=object)>>>np.around(a,3)回溯(最近一次调用最后一次):文件<stdin>"，第 1 行，在 <module> 中文件/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/fromnumeric.py"，第2384行，大约返回轮(小数，出)属性错误:rint>>>np.around(a.astype(np.double),3)数组([ 0.514, 0.428, 0.418, 0.627, 0.437])

对于字符串、unicode、void 和 char 类型的数组，您会收到类似的错误.

I have a numpy array that looks like this:

[[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:

  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)

Am I doing something wrong? Is there any other way to do this efficiently for a large array?

解决方案

You cannot round numpy arrays that are objects, this can be changed with astype as long as your array can be safely converted to floats:

>>> 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.

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