NdArray.HStack.cs

using System;

namespace NumSharp
{
    public partial class NDArray
    {
        /// <summary>
        ///     Stack arrays in sequence horizontally (column wise).
        ///     This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis.Rebuilds arrays divided by hsplit.
        ///     This function makes most sense for arrays with up to 3 dimensions.For instance, 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.
        /// </summary>
        /// <param name="tup">The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length.</param>
        /// <returns>The array formed by stacking the given arrays.</returns>
        /// <remarks>https://numpy.org/doc/stable/reference/generated/numpy.hstack.html</remarks>
        public NDArray hstack(params NDArray[] tup)
        {
            if (tup == null)
                throw new ArgumentNullException(nameof(tup));

            NDArray[] list = new NDArray[1 + tup.Length];
            list[0] = this;
            tup.CopyTo(list, 1);
            return np.hstack(list);
        }
    }
}