I have a list containing single items and tuples of "subitems" as follows:
items = ['item_1', 'item_2', 'item_3', 'item_4', ('item_5a', 'item_5b'), 'item_6', ('item_7a', 'item_7b')]
I now want to select n (here 4) number of items from said list, for example using np.random.choice:
>>> np.random.choice(items, 4, replace=False)
array([('item_5a', 'item_5b'), 'item_6', ('item_7a', 'item_7b'), 'item_4'],
dtype=object)
This works but it considers tuples as one item. What im looking for is:
- Keep the items within a tuple grouped – always select together
- Select
nitems including "subitems" in a tuple
Something like this:
>>> choose_n_items(items, 4, replace=False)
array([('item_5a', 'item_5b'), 'item_6', 'item_4'],
dtype=object)
Is there some function with this functionality? Thanks in advance. BBQuercus ;)
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