以绘图方式重新设置子批次Y轴值

Question

尝试将Y轴上的值转换为美元金额，使用update_layout方法时，它只影响第一个图表，而不影响其他图表。我不知道该将方法放在何处，也不知道如何将格式单独应用于每个跟踪

fig = make_subplots(rows=2, cols=2, 
                    subplot_titles=("Daily", "Week To Date", "Month To Date", "Quarter To Date"),
                    )
    
    fig.update_layout(yaxis_tickprefix = '$', yaxis_tickformat = ',.')

    CS_df_Daily, CS_df_Weekily  = Current_Stock_Profile.Daily_DateFrame, Current_Stock_Profile.WeekToDate_DataFrame
    CS_df_Month, CS_df_Quarter  = Current_Stock_Profile.MonthToDate_DataFrame, Current_Stock_Profile.QuarterToDate_DataFrame

    fig.add_trace(go.Candlestick(x=CS_df_Daily.index,
                open=CS_df_Daily['Open'],
                high=CS_df_Daily['High'],
                low=CS_df_Daily['Low'],
                close=CS_df_Daily['Close']),
                row = 1, col = 1)
                

    fig.add_trace(go.Candlestick(x=CS_df_Weekily.index,
                open=CS_df_Weekily['Open'],
                high=CS_df_Weekily['High'],
                low=CS_df_Weekily['Low'],
                close=CS_df_Weekily['Close']), row = 1, col = 2)


    fig.add_trace(go.Candlestick(x=CS_df_Month.index,
                open=CS_df_Month['Open'],
                high=CS_df_Month['High'],
                low=CS_df_Month['Low'],
                close=CS_df_Month['Close']),row = 2, col = 1)

    fig.add_trace(go.Candlestick(x=CS_df_Quarter.index,
                open=CS_df_Quarter['Open'],
                high=CS_df_Quarter['High'],
                low=CS_df_Quarter['Low'],
                close=CS_df_Quarter['Close']), row = 2, col = 2)

    fig.update_layout(height=750, width=1200,showlegend=False,
                  title_text=Current_Stock_Profile.shortName)
    

    fig.update_xaxes(rangeslider_visible=False)

Example of the Chart I am generating

Answer 1

可以格式化每个y轴以支持它

fig.update_layout(yaxis_tickformat='$',
                  yaxis2_tickformat='$',
                  yaxis3_tickformat='$',
                  yaxis4_tickformat='$',
                  height=750,
                  width=1200,
                  showlegend=False,
                  title_text=Current_Stock_Profile.shortName)