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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def multi_polygons_data(element):
 """ Expands polygon data which contains holes to a bokeh multi_polygons representation. Multi-polygons split by nans are expanded and the correct list of holes is assigned to each sub-polygon. """

    paths = element.split(datatype='array', dimensions=element.kdims)
    xs, ys = ([path[:, idx] for path in paths] for idx in (0, 1))
    holes = element.holes()
    xsh, ysh = [], []
    for x, y, multi_hole in zip(xs, ys, holes):
        xhs = [[h[:, 0] for h in hole] for hole in multi_hole]
        yhs = [[h[:, 1] for h in hole] for hole in multi_hole]
        array = np.column_stack([x, y])
        splits = np.where(np.isnan(array[:, :2].astype('float')).sum(axis=1))[0]
        arrays = np.split(array, splits+1) if len(splits) else [array]
        multi_xs, multi_ys = [], []
        for i, (path, hx, hy) in enumerate(zip(arrays, xhs, yhs)):
            if i != (len(arrays)-1):
                path = path[:-1]
            multi_xs.append([path[:, 0]]+hx)
            multi_ys.append([path[:, 1]]+hy)
        xsh.append(multi_xs)
        ysh.append(multi_ys)
    return xsh, ysh