如何在python中将对象数组转换为普通数组
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时间：2020-08-19 08:47:05 来源:igfitidea点击:
How to convert an object array to a normal array in python
提问by Shashank
I have an object array which looks something like this
我有一个看起来像这样的对象数组
array([array([[2.4567]],dtype=object), array([[3.4567]],dtype=object), array([[4.4567]],dtype=object), array([[5.4567]],dtype=object) ... array([[6.4567]],dtype=object))
This is just an example, actual one is much bigger.
这只是一个例子，实际的要大得多。
So, how do I convert this into a normal floating value numpy array.
那么，如何将其转换为普通的浮点值 numpy 数组。
采纳答案by Ashwini Chaudhary
Use numpy.concatenate:
>>> arr = array([array([[2.4567]],dtype=object),array([[3.4567]],dtype=object),array([[4.4567]],dtype=object),array([[5.4567]],dtype=object),array([[6.4567]], dtype=object)])
>>> np.concatenate(arr).astype(None)
array([[ 2.4567],
[ 3.4567],
[ 4.4567],
[ 5.4567],
[ 6.4567]])
回答by farhawa
Or, using reshape:
或者，使用reshape：
In [1]: a = array([array([[2.4567]],dtype=object), array([[3.4567]],dtype=object), array([[4.4567]],dtype=object)])
In [2]: a.astype(float).reshape(a.size,1)
Out[2]:
array([[ 2.4567],
[ 3.4567],
[ 4.4567]])
