[英]Array indexing in numpy
Is there a way in numpy to retrieve all items in an array except the item of the index provided. numpy中是否有一种方法可以检索数组中除提供的索引项之外的所有项。
x =
array([[[4, 2, 3],
[2, 0, 1],
[1, 3, 4]],
[[2, 1, 2],
[3, 2, 3],
[3, 4, 2]],
[[2, 4, 1],
[0, 2, 2],
[4, 0, 0]]])
and by asking for 并要求
x[not 1,:,:]
you will get 你会得到
array([[[4, 2, 3],
[2, 0, 1],
[1, 3, 4]],
[[2, 4, 1],
[0, 2, 2],
[4, 0, 0]]])
Thanks 谢谢
In [42]: x[np.arange(x.shape[0])!=1,:,:]
Out[42]:
array([[[4, 2, 3],
[2, 0, 1],
[1, 3, 4]],
[[2, 4, 1],
[0, 2, 2],
[4, 0, 0]]])
Have you tried this? 你试过这个吗?
a[(0,2), :, :]
Instead of blacklisting what you don't want to get, you can try to whitelist what you need. 您可以尝试将所需内容列入白名单,而不是将您不想要的内容列入黑名单。
If you need to blacklist anyway, you can do something like this: 如果你还需要黑名单,你可以这样做:
a[[i for i in range(a.shape[0]) if i != 1], :, :]
Basically you just create a list with all possible indexes ( range(a.shape[0])
) and filter out those that you don't want to get displayed ( if i != 1
). 基本上你只是创建一个包含所有可能索引的列表(
range(a.shape[0])
)并过滤掉那些你不想显示的列表( if i != 1
)。
这是一个非常通用的解决方案:
x[range(0,i)+range(i+1,x.shape[0]),:,:]
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.