How to use 'seaborn barplot' in Python

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def plot_bar(xs, ys, names, error_ys=None, xlabel='x', ylabel='y', title=''):
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    layout = go.Layout(
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        title=title,
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        xaxis=dict(
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            title=xlabel,
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            titlefont=dict(
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                family='Courier New, monospace',
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                size=18,
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                color='#7f7f7f'
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            )
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        ),
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        yaxis=dict(
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            title=ylabel,
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            titlefont=dict(
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                family='Courier New, monospace',
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                size=18,
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                color='#7f7f7f'
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            )
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        )
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    )
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    traces = []
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    for (i, y) in enumerate(ys):
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        kwargs = {}
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        if names:
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            kwargs['name'] = names[i]
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        if error_ys:
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            kwargs['error_y'] = dict(
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                type='data',     # or 'percent', 'sqrt', 'constant'
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                array=error_ys[i],     # values of error bars
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                visible=True
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            )
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        trace = go.Bar(
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            x = xs[i],
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            y = y,
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            **kwargs
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        )
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        traces.append(trace)
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    data = traces
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    print 'data', data
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    fig = go.Figure(data=data, layout=layout)
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    # disp = iplot(fig, filename=datetime.now().strftime('%a, %d %b %Y %H:%M:%S +0000'))
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    disp = iplot(fig) # offline mode, no need for filename.

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def plot_bars():
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    ylim = plt.ylim()
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    for x in np.arange(0, t[-1], presentation_time):
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        plt.plot([x, x], ylim, 'k--')