You can think of reshaping that the new shape is filled row by row (last dimension varies fastest) from the flattened original list/array. ... <看更多>
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You can think of reshaping that the new shape is filled row by row (last dimension varies fastest) from the flattened original list/array. ... <看更多>
You can do this : list = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; ragList = {{a, b, c}, {d, {e, f}, g}, {h}, {{{i}}, j}}; i=1; Map[list[[i++]]&,ragList,{-1}]. ... <看更多>
An R package to flexible rearrange, reshape and aggregate data - reshape/melt.list.Rd at master · hadley/reshape. ... <看更多>
If you are familiar with Python's standard list indexing, indexing in NumPy will feel ... The most flexible way of doing this is with the reshape method. ... <看更多>
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