How to use the quantstats.plots.returns function in QuantStats

100).round(2).astype(str) + '%'
        yoy.index.name = 'Year'
        tpl = tpl.replace('{{eoy_title}}', '<h3>EOY Returns</h3>')
        tpl = tpl.replace('{{eoy_table}}', _html_table(yoy))

    dd = _stats.to_drawdown_series(returns)
    dd_info = _stats.drawdown_details(dd).sort_values(
        by='max drawdown', ascending=True)[:10]

    dd_info = dd_info[['start', 'end', 'max drawdown', 'days']]
    dd_info.columns = ['Started', 'Recovered', 'Drawdown', 'Days']
    tpl = tpl.replace('{{dd_info}}', _html_table(dd_info, False))

    # plots
    figfile = _utils._file_stream()
    _plots.returns(returns, benchmark, grayscale=grayscale,
                   figsize=(8, 5), subtitle=False,
                   savefig={'fname': figfile, 'format': 'svg'},
                   show=False, ylabel=False, cumulative=compounded)
    tpl = tpl.replace('{{returns}}', figfile.getvalue().decode())

    figfile = _utils._file_stream()
    _plots.log_returns(returns, benchmark, grayscale=grayscale,
                       figsize=(8, 4), subtitle=False,
                       savefig={'fname': figfile, 'format': 'svg'},
                       show=False, ylabel=False, cumulative=compounded)
    tpl = tpl.replace('{{log_returns}}', figfile.getvalue().decode())

    if benchmark is not None:
        figfile = _utils._file_stream()
        _plots.returns(returns, benchmark, match_volatility=True,
                       grayscale=grayscale, figsize=(8, 4), subtitle=False,

figsize=(figsize[0], figsize[0]*.5),
                               show=True, ylabel=False,
                               compounded=compounded)

        return

    _plots.returns(returns, benchmark, grayscale=grayscale,
                   figsize=(figsize[0], figsize[0]*.6),
                   show=True, ylabel=False)

    _plots.log_returns(returns, benchmark, grayscale=grayscale,
                       figsize=(figsize[0], figsize[0]*.5),
                       show=True, ylabel=False)

    if benchmark is not None:
        _plots.returns(returns, benchmark, match_volatility=True,
                       grayscale=grayscale,
                       figsize=(figsize[0], figsize[0]*.5),
                       show=True, ylabel=False)

    _plots.yearly_returns(returns, benchmark,
                          grayscale=grayscale,
                          figsize=(figsize[0], figsize[0]*.5),
                          show=True, ylabel=False)

    _plots.histogram(returns, grayscale=grayscale,
                     figsize=(figsize[0], figsize[0]*.5),
                     show=True, ylabel=False)

    _plots.daily_returns(returns, grayscale=grayscale,
                         figsize=(figsize[0], figsize[0]*.3),
                         show=True, ylabel=False)

def plots(returns, benchmark=None, grayscale=False,
          figsize=(8, 5), mode='basic', compounded=True):

    if mode.lower() != 'full':
        _plots.snapshot(returns, grayscale=grayscale,
                        figsize=(figsize[0], figsize[0]),
                        show=True, mode=("comp" if compounded else "sum"))

        _plots.monthly_heatmap(returns, grayscale=grayscale,
                               figsize=(figsize[0], figsize[0]*.5),
                               show=True, ylabel=False,
                               compounded=compounded)

        return

    _plots.returns(returns, benchmark, grayscale=grayscale,
                   figsize=(figsize[0], figsize[0]*.6),
                   show=True, ylabel=False)

    _plots.log_returns(returns, benchmark, grayscale=grayscale,
                       figsize=(figsize[0], figsize[0]*.5),
                       show=True, ylabel=False)

    if benchmark is not None:
        _plots.returns(returns, benchmark, match_volatility=True,
                       grayscale=grayscale,
                       figsize=(figsize[0], figsize[0]*.5),
                       show=True, ylabel=False)

    _plots.yearly_returns(returns, benchmark,
                          grayscale=grayscale,
                          figsize=(figsize[0], figsize[0]*.5),

_po.r2 = stats.r2
    _po.information_ratio = stats.information_ratio
    _po.greeks = stats.greeks
    _po.rolling_greeks = stats.rolling_greeks
    _po.compare = stats.compare

    # plotting methods
    _po.plot_snapshot = plots.snapshot
    _po.plot_earnings = plots.earnings
    _po.plot_daily_returns = plots.daily_returns
    _po.plot_distribution = plots.distribution
    _po.plot_drawdown = plots.drawdown
    _po.plot_drawdowns_periods = plots.drawdowns_periods
    _po.plot_histogram = plots.histogram
    _po.plot_log_returns = plots.log_returns
    _po.plot_returns = plots.returns
    _po.plot_rolling_beta = plots.rolling_beta
    _po.plot_rolling_sharpe = plots.rolling_sharpe
    _po.plot_rolling_sortino = plots.rolling_sortino
    _po.plot_rolling_volatility = plots.rolling_volatility
    _po.plot_yearly_returns = plots.yearly_returns
    _po.plot_monthly_heatmap = plots.monthly_heatmap

    _po.metrics = reports.metrics
# extend_pandas()

_plots.returns(returns, benchmark, grayscale=grayscale,
                   figsize=(8, 5), subtitle=False,
                   savefig={'fname': figfile, 'format': 'svg'},
                   show=False, ylabel=False, cumulative=compounded)
    tpl = tpl.replace('{{returns}}', figfile.getvalue().decode())

    figfile = _utils._file_stream()
    _plots.log_returns(returns, benchmark, grayscale=grayscale,
                       figsize=(8, 4), subtitle=False,
                       savefig={'fname': figfile, 'format': 'svg'},
                       show=False, ylabel=False, cumulative=compounded)
    tpl = tpl.replace('{{log_returns}}', figfile.getvalue().decode())

    if benchmark is not None:
        figfile = _utils._file_stream()
        _plots.returns(returns, benchmark, match_volatility=True,
                       grayscale=grayscale, figsize=(8, 4), subtitle=False,
                       savefig={'fname': figfile, 'format': 'svg'},
                       show=False, ylabel=False, cumulative=compounded)
        tpl = tpl.replace('{{vol_returns}}', figfile.getvalue().decode())

    figfile = _utils._file_stream()
    _plots.yearly_returns(returns, benchmark, grayscale=grayscale,
                          figsize=(8, 4), subtitle=False,
                          savefig={'fname': figfile, 'format': 'svg'},
                          show=False, ylabel=False, compounded=compounded)
    tpl = tpl.replace('{{eoy_returns}}', figfile.getvalue().decode())

    figfile = _utils._file_stream()
    _plots.histogram(returns, grayscale=grayscale,
                     figsize=(8, 4), subtitle=False,
                     savefig={'fname': figfile, 'format': 'svg'},