次级轴上的体积条形图。

Question

这是次级轴上的折线图和音量条形图的代码。它确实正确显示在plt.show（）上。但是当通过mpl_to_plotly进行转换时，图例将无法正确显示…… 我需要的传说是

收盘价
提高音量
降低音量

但是我得到的是

收盘价
迹线1

迹线2

  fig = plt.figure()
  fig.set_size_inches((16, 8))
  ax = fig.add_axes((0.06, 0.25, 0.85, 0.70))
  ax2 = fig.add_axes((0.06, 0.04, 0.85, 0.13), sharex=ax) #secondary axis. 
  ax.set_ylabel('Price')
  ax2.yaxis.set_label_position("right")
  ax2.set_ylabel('Volume', size=20)

  #ax.set_ylim(df['Close Price'].min, df['Close Price'].max)
  ln1= ax.plot_date(df['Date_Week'], df['Close Price'], ls="-", label='Close Price') #closeprice
  #ln2 = ax.plot_date(df2['Date_Week'], df2['line1'],  color='firebrick', ls="--",lw=2.0, label='Avg. Support' ) #avg support
  #ln3 = ax.plot_date(df4['Date_Week'], df4['line1'],color="black", ls="--",lw=2.0, label='Avg. Resistance') #avg resistance
  #ln4 = ax.plot_date(df5['Date_Week'], df5['line1'],color="green", ls="-.",lw=2.0, label='Support') # support
  #ln5 = ax.plot_date(df7['Date_Week'], df7['line1'],color="red", ls="-.",lw=2.0, label='Resistance') #resistance

  ax.tick_params('y', colors='k')
  ax.grid(b=True, which='major', color='w', linewidth=1.0)
  ax.grid(b=True, which='minor', color='w', linewidth=0.5)
  ax.yaxis.grid(True)
  ax.margins(0.1, None)    
  pos = hist[i:].Open-hist[i:].Close<0
  neg = hist[i:].Open-hist[i:].Close>0
  datedf.dropna(subset = ['Date_Week'],inplace=True)
  volumelabel=['Up Volume','Down Volume']

次级轴上的体积条形图。

  lnup = ax2.bar(hist[i:][pos].index,v[pos],color='green',width=1,align='center')
  lndown= ax2.bar(hist[i:][neg].index,v[neg],color='red',width=1,align='center')
  ax2.legend(volumelabel,loc=2)
  print("finished")
  #print(ax1.legend)
  #quit()
  #scale the x-axis tight
  ax2.set_xlim(min(hist[i:].index)- datetime.timedelta(days=4),max(hist[i:].index)+ datetime.timedelta(days=4))
  # the y-ticks for the bar were too dense, keep only every third one
  yticks = ax2.get_yticks()
  #ax2.set_yticks(yticks[::1])

  # the y-ticks for the bar were too dense, keep only every third one
  yticks = ax2.get_yticks()
  #ax2.set_yticks(yticks[::3])

  # format the x-ticks with a human-readable date.
  xt = ax2.get_xticks()
  new_xticks = [datetime.date.isoformat(num2date(d)) for d in xt]
  ax.set_xticklabels(new_xticks)
  ax2.yaxis.set_label_position("right")
  ax2.set_ylabel('Volume', size=20)

  # added these three lines
  #lns = ln1+ln2+ln3+ln4+ln5+[lnup]+[lndown]
  #lns = ln1+ln2+ln3+ln4+ln5
  lns = ln1+[lnup]+[lndown]
  labs = [l.get_label() for l in lns]
  ax.legend(lns, labs, loc=2)              
  plt.show()
  ax.get_legend().remove()
  #ax2.get_legend().remove()

  myFmt = mdates.DateFormatter('%Y-%m-%d')
  ax.xaxis.set_major_formatter(myFmt)
  fig.autofmt_xdate()
  plotly_fig = tls.mpl_to_plotly(fig)

  #### converted to mpl_to_plotly ##### 
  myFmt = mdates.DateFormatter('%Y-%m-%d')
  ax.xaxis.set_major_formatter(myFmt)
  fig.autofmt_xdate()
  plotly_fig = tls.mpl_to_plotly(fig)
  #plotly_fig['layout']['plot_bgcolor'] = "rgb(213, 226, 233)"
  #plotly_fig['layout']['xaxis']['gridcolor'] = "white"
  #plotly_fig['layout']['yaxis']['gridcolor'] = "white"
  #plotly_fig['layout']['xaxis']['ticks'] = ""
  #plotly_fig['layout']['yaxis']['range'] = limits
  #plotly_fig['layout']['yaxis']['title'] = ylabel
  #plotly_fig['layout']['autosize'] = True
  #plotly_fig['layout']['showlegend'] = True
  #plotly_fig['layout']['title'] = 'Trend Lines'+sym


  legend = go.layout.Legend(
          x=0.05,
          y=0.95
      )
  title = go.layout.Title(
          x=0.5,
          y=0.93
      )
  plotly_fig.update_layout(showlegend=True, legend=legend)
  plotly_fig.update_layout(
      title=title,
      title_text='Trendlines',
      titlefont = {'size':18}
  )
  #plotly_fig.for_each_annotation(lambda a: a.update(text=a.text.split("trace")[-1]))
  #plotly_fig.update_layout(uniformtext_minsize=12, uniformtext_mode='hide')
  plotly.offline.plot(plotly_fig, filename=sym+".html")

在matplot图表（plt.show（））中，图例显示正确。但是在plotly_fig中，图例对于条形图是不正确的.....当转换为mpl_to_plot

时，这种情况似乎发生在带有辅助轴且带有条形子的图表上

plt.show（）图像首先显示在下面。 [ enter image description here 1

html页面中的MPL_TO_PLOT图像显示如下：

请注意如何将条形图的标签添加为“迹线1”和“迹线2”。对于“折线”，标签正确显示，但对于在副轴上的子图中的体积条形图，标签显示为迹线1和迹线2。我需要一种方法来访问图例并更新其位置，并将其从迹线1更改为上卷，将迹线2更改为下卷。

如何在html的mpl_to_plotly图中的图例中进行更新或编辑

PLOTLY和mpl_to_plotly中的图例显示不同的标签

次级轴上的体积条形图。

0 个答案: