问题描述
我正在NumPy中编写一些建模例程，这些例程需要从NumPy数组中随机选择单元并对其进行一些处理.必须选择所有单元格而不替换它们(例如，一旦选择了一个单元格，就不能再次选择它，但是必须在最后选择所有单元格.)
I'm writing some modelling routines in NumPy that need to select cells randomly from a NumPy array and do some processing on them. All cells must be selected without replacement (as in, once a cell has been selected it can't be selected again, but all cells must be selected by the end).
我正在从IDL过渡，在那里我可以找到一种很好的方法来完成此操作，但是我认为NumPy也有一种很好的方法来执行此操作.您会提出什么建议?
I'm transitioning from IDL where I can find a nice way to do this, but I assume that NumPy has a nice way to do this too. What would you suggest?
更新:我应该说过我正在尝试在2D数组上执行此操作，因此会获得一组2D索引.
Update: I should have stated that I'm trying to do this on 2D arrays, and therefore get a set of 2D indices back.
推荐答案
如果仍然需要原始数组，如何使用numpy.random.shuffle或numpy.random.permutation?
How about using numpy.random.shuffle or numpy.random.permutation if you still need the original array?
如果需要就地更改数组，则可以像这样创建索引数组:
If you need to change the array in-place than you can create an index array like this:
your_array = <some numpy array>
index_array = numpy.arange(your_array.size)
numpy.random.shuffle(index_array)
print your_array[index_array[:10]]
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