def hstack(tup):"""Stack arrays in sequence horizontally (column wise).水平（按列）順序堆疊數組。This is equivalent to concatenation along the second axis, except for 1-Darrays where it concatenates along the first axis. Rebuilds arrays dividedby `hsplit`.這等效于沿第二個軸的串聯，除了一維數組沿第一個軸的串聯。 重建除以“ hsplit”的數組。This function makes most sense for arrays with up to 3 dimensions. Forinstance, for pixel-data with a height (first axis), width (second axis),and r/g/b channels (third axis). The functions `concatenate`, `stack` and`block` provide more general stacking and concatenation operations.此功能對最多3維的陣列最有意義。 例如，對于具有高度（第一軸），寬度（第二軸）和r / g / b通道（第三軸）的像素數據。 函數concatenate，stack和block提供了更常規的堆疊和串聯操作。Parameters----------tup : sequence of ndarraysThe arrays must have the same shape along all but the second axis,except 1-D arrays which can be any length.ndarray的序列除第二個軸外，所有陣列的形狀都必須相同，除了一維陣列可以是任意長度。Returns-------stacked : ndarrayThe array formed by stacking the given arrays.堆疊：ndarray通過堆疊給定數組形成的數組。See Also--------stack : Join a sequence of arrays along a new axis.沿新軸連接一系列數組。vstack : Stack arrays in sequence vertically (row wise).垂直（行）按順序堆疊數組。dstack : Stack arrays in sequence depth wise (along third axis).沿深度方向（沿第三軸）按順序堆疊數組。concatenate : Join a sequence of arrays along an existing axis.沿現有軸連接一系列數組。hsplit : Split array along second axis.沿第二個軸拆分數組。block : Assemble arrays from blocks.從塊組裝數組。Examples-------->>> a = np.array((1,2,3))>>> b = np.array((2,3,4))>>> np.hstack((a,b))array([1, 2, 3, 2, 3, 4])>>> a = np.array([[1],[2],[3]])>>> b = np.array([[2],[3],[4]])>>> np.hstack((a,b))array([[1, 2],[2, 3],[3, 4]])"""arrs = [atleast_1d(_m) for _m in tup]# As a special case, dimension 0 of 1-dimensional arrays is "horizontal"if arrs and arrs[0].ndim == 1:return _nx.concatenate(arrs, 0)else:return _nx.concatenate(arrs, 1)

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