Python numpy.where 中的多个条件
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multiple conditions in numpy.where
提问by user2162806
With some numpy array a, what I'd like to do is
使用一些 numpy 数组 a，我想做的是
indices = np.where((a < 4) or (a > 12))
This isn't valid. It just returns "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()". But this expression isn'tambiguous, and anyand alldon't do what I want to do. (anyand allcan't take compound expressions either. But ifcan. Confused...)
这是无效的。它只是返回“具有多个元素的数组的真值不明确。使用 a.any() 或 a.all()”。但这种表达是不明确的，any并且all不这样做我想做的事情。（any并且all也不能使用复合表达式。但if可以。困惑......）
回答by YXD
You want to get a logical/boolean array as your argument for where
你想得到一个逻辑/布尔数组作为你的参数 where
You can do x | yor np.logical_or(x,y), where xand yare a < 4and a > 12
你可以做x | yor np.logical_or(x,y), where xand yare a < 4anda > 12
