python - Matplotlib/Mplfinance 'y_on_right' 的正确用法？

Question

使用 Mplfinance .我希望有人能阐明“y_on_right”参数的正确用法。我相信我正确使用了 mpf.make_addplot() 但它不会将 y 轴移动到图表的另一侧。使用 docs假如。 TIA。

        mpf.make_addplot(
        df['sentiment'], 
        type='line',
        ax=ax3,
        y_on_right=True,         
        ylabel='Sentiment',
        color='#6f2d84'
        )]

编辑:添加代码的工作示例。

def makeCharts_CountsOHLC(self, props):

fig = props['fig']
df = props['df']
symbol = props['symbol']
start = props['min_date']
end = props['max_date']

# Configure the axes
ax1 = fig.add_subplot(5,1,(1,2))
ax2 = fig.add_subplot(5,1,3, sharex=ax1)
ax3 = fig.add_subplot(5,1,4, sharex=ax1)
ax4 = fig.add_subplot(5,1,5, sharex=ax1)

# Create add plots
aps = [
    mpf.make_addplot(
    df['count_s'], 
    ax=ax2, 
    ylabel='Tweets',
    ),
    
    mpf.make_addplot(
    df['sentiment'], 
    type='bar',
    ax=ax3,
    ylabel='Sentiment',            
    )]

ax1.tick_params(labelbottom=False)
ax2.tick_params(labelbottom=False)
ax3.tick_params(labelbottom=False)

# Functions to add a day to date and format dates 
date_p1 = lambda x: dt.strftime(pd.to_datetime(x) + td(days=1), '%d %b %y')
fmt_date = lambda x: dt.strftime(pd.to_datetime(x), '%d %b %y')

title = f'{symbol} Price and Volume Traded from {fmt_date(start)} until {date_p1(end)}'

# Plot the chart
mpf.plot(
    df,
    type='candle',
    ax = ax1,
    volume = ax4,
    addplot = aps,
    xrotation = 0,
    datetime_format = '%b %d',
    axtitle = title,
    ylabel = 'Price ($USD)',
    tight_layout = True
    )

# Format the prive of the y axis 
mkfunc = lambda x, pos: '%1.1fM' % (x * 1e-6) if x >= 1e6 else '%1.1fK' % (x * 1e-3) if x >= 1e3 else '%1.1f' % x
mkformatter = matplotlib.ticker.FuncFormatter(mkfunc)
ax1.yaxis.set_major_formatter(mkformatter)

# Adjustments to plot and save
plt.subplots_adjust(hspace=0)
plt.savefig(fname=props['save_path'], dpi=self.cconf.get('RESOLUTION'))
plt.close('all')
fig.clear()

Answer 1

外轴模式不支持y_on_right。

如果你想改变特定轴的方向，你可以直接这样做:

ax3.yaxis.set_label_position("right")
ax3.yaxis.tick_right()