def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
               showextrema=True, showmedians=False, points=100, bw_method=None,
               hold=None):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.violinplot(dataset, positions=positions, vert=vert,
                            widths=widths, showmeans=showmeans,
                            showextrema=showextrema, showmedians=showmedians,
                            points=points, bw_method=bw_method)
        draw_if_interactive()
    finally:
        ax.hold(washold)

    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 

def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
               showextrema=True, showmedians=False, points=100, bw_method=None,
               hold=None, data=None):
    ax = gca()
    # Deprecated: allow callers to override the hold state
    # by passing hold=True|False
    washold = ax._hold

    if hold is not None:
        ax._hold = hold
        from matplotlib.cbook import mplDeprecation
        warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
                      mplDeprecation)
    try:
        ret = ax.violinplot(dataset, positions=positions, vert=vert,
                            widths=widths, showmeans=showmeans,
                            showextrema=showextrema, showmedians=showmedians,
                            points=points, bw_method=bw_method, data=data)
    finally:
        ax._hold = washold

    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset=dataset, positions=positions, vert=vert,
        widths=widths, showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        data=data)

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset, positions=positions, vert=vert, widths=widths,
        showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        **({"data": data} if data is not None else {}))


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset, positions=positions, vert=vert, widths=widths,
        showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        **({"data": data} if data is not None else {}))


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

def violinplot(
        dataset, positions=None, vert=True, widths=0.5,
        showmeans=False, showextrema=True, showmedians=False,
        points=100, bw_method=None, *, data=None):
    return gca().violinplot(
        dataset, positions=positions, vert=vert, widths=widths,
        showmeans=showmeans, showextrema=showextrema,
        showmedians=showmedians, points=points, bw_method=bw_method,
        **({"data": data} if data is not None else {}))


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost.