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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 beeswarm(*args, **kwargs):
 """ Create a R-like beeswarm plot showing the mean and datapoints. The difference from matplotlib is only the left axis line is shown, and ticklabels labeling each category of data can be added. @param ax: @param x: @param kwargs: Besides xticklabels, which is a prettyplotlib-specific argument which will label each individual beeswarm, many arguments for matplotlib.pyplot.boxplot will be accepted: http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.boxplot Additional arguments include: *median_color* : (default gray) The color of median lines *median_width* : (default 2) Median line width *colors* : (default None) Colors to use when painting a dataseries, for example list1 = [1,2,3] list2 = [5,6,7] ppl.beeswarm([list1, list2], colors=["red", "blue"], xticklabels=["data1", "data2"]) @return: """

    ax, args, kwargs = maybe_get_ax(*args, **kwargs)
    # If no ticklabels are specified, don't draw any
    xticklabels = kwargs.pop('xticklabels', None)
    colors = kwargs.pop('colors', None)
    fontsize = kwargs.pop('fontsize', 10)
    
    gray = _colors.set1[8]
    red = _colors.set1[0]
    blue = kwargs.pop('color', _colors.set1[1])

    kwargs.setdefault('widths', 0.25)
    kwargs.setdefault('sym', "o")
    
    bp = _beeswarm(ax, *args, **kwargs)
    
    kwargs.setdefault("median_color", gray)
    kwargs.setdefault("median_linewidth", 2)
    
    
    if xticklabels:
        ax.xaxis.set_ticklabels(xticklabels, fontsize=fontsize)

    show_caps = kwargs.pop('show_caps', True)
    show_ticks = kwargs.pop('show_ticks', False)

    remove_chartjunk(ax, ['top', 'right', 'bottom'], show_ticks=show_ticks)
    linewidth = 0.75

    plt.setp(bp['boxes'], color=blue, linewidth=linewidth)
    plt.setp(bp['medians'], color=kwargs.pop("median_color"), linewidth=kwargs.pop("median_linewidth"))
    #plt.setp(bp['whiskers'], color=blue, linestyle='solid',
    #         linewidth=linewidth)
    for color, flier in zip(colors, bp['fliers']):
        plt.setp(flier, color=color)
    #if show_caps:
    #    plt.setp(bp['caps'], color=blue, linewidth=linewidth)
    #else:
    #    plt.setp(bp['caps'], color='none')
    ax.spines['left']._linewidth = 0.5
    return bp