`AttributeError: rint` when using numpy.round

Question

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?

Answer 1

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.