human
What is a the Python program you requested given the following:
Complete the below
def grouped_hist(data, column=None, by=None, ax=None, bins=50, figsize=None, layout=None, sharex=False, sharey=False, rot=90, grid=True, xlabelsize=None, xrot=None, ylabelsize=None, yrot=None, **kwargs):

    ''''Grouped histogram
    Parameters
    data: Series/DataFrame
    column: object, optional
    by: object, optional
    ax: axes, optional
    bins: int, default 50
    figsize: tuple, optional
    layout: optional
    sharex: boolean, default False
    sharey: boolean, default False
    rot: int, default 90
    grid: bool, default True
    kwargs: dict, keyword arguments passed to matplotlib.Axes.hist
    Returns
    axes: collection of Matplotlib Axes'
    '''
assistant
#Here is the Python program you requested.
    def plot_group(group, ax):
        ax.hist(group.dropna().values, bins=bins, **kwargs)
    xrot = (xrot or rot)
    (fig, axes) = _grouped_plot(plot_group, data, column=column, by=by, sharex=sharex, sharey=sharey, ax=ax, figsize=figsize, layout=layout, rot=rot)
    _set_ticks_props(axes, xlabelsize=xlabelsize, xrot=xrot, ylabelsize=ylabelsize, yrot=yrot)
    fig.subplots_adjust(bottom=0.15, top=0.9, left=0.1, right=0.9, hspace=0.5, wspace=0.3)
    return axes