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  • python - What does -1 mean in numpy reshape? - Stack Overflow
    If want to reshape non-consecutive dimensions, then transpose before reshaping There probably are more advanced usages, but this is the only way I manage to understand what reshape() is doing
  • Python中reshape函数参数-1的意思？ - 知乎
    Python中reshape函数参数-1的意思？ 在Python的numpy库中，经常出现reshape (x， [-1，28，28，1])之类的表达，请问新shape中-1是什么含义？ 我在网上查不到详细… 显示全部 关注者 117 被浏览
  • Whats the difference between `reshape()` and `view()` in PyTorch?
    It doesn't work In this case, reshape () would create a new tensor with a different memory allocation to make the transpose contiguous: Note that we can use view to split the first dimension of the transpose Unlike what is said in the accepted and other answers, view () can operate on non-contiguous tensors!
  • MATLAB的reshape函数怎么用? - 知乎
    例如，将前面创建的数组A由3x4重构为6x2： 需要注意的是，在使用reshape函数对数组进行重构的过程中，数组的元素个数不能变，元素的序号不会变，它改变的只是数组的形状。 4 转置 用transpose函数可以实现数组转置，即把数组的行和列互换。
  • python - How to reshape a pandas. Series - Stack Overflow
    It is tempting to catch the reshape s and don't allow them, but a lot of the cool things you've come to love in numpy rely on altering the dimensions of the underlying data, e g get rid of reshape and tile does not work any more May be this is a small, unavoidable, price to pay for reusing the numpy engine in Pandas
  • numpy - Python reshape list to ndim array - Stack Overflow
    The examples you provide are inconsistent: (1) you cannot reshape a list with 8 elements into a 2x2 array (2) what is np shape = (28, 100) supposed to do?
  • How to reshape data from long to wide format - Stack Overflow
    The reshape comments and similar argument names aren't all that helpful However, I have found that for long to wide, you need to provide data = your data frame, idvar = the variable that identifies your groups, v names = the variables that will become multiple columns in wide format, timevar = the variable containing the values that will be appended to v names in wide format, direction = wide
  • MATLAB中reshape的用法 - 百度经验
    所以，MATLAB里面的reshape函数需要注意的就是它是按列读取输入矩阵，然后按列输出矩阵。 知道这个特性之后，我们就可以通过合理的转置操作，迅速有效的改变矩阵的size了。





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