xaxis of subplots fail to align at the end.

[jarodgeng]

hello
I want to make 5 subplot in one column, each subplot contains one trace. each trace share exactly same date time index.
I have tried multiple option to align xaxis across 5 subplot, that includes shared_xaxes= True, shared_xaxes='columns', assign reference axis, use fix range. all options did not work well, always display randomly mis-aligned at the plot end. there is no fixed pattern for this mis-alignment, sometimes the mis-alignment appears at first and 2nd plot, while some appears at 3rd and 4th plot. still some cases align well.
I think it may associate with my axes type assignment, to wavier weekend gap in candlestick plot. all x-axis were assigned as category.
can any contributor suggest an solution to fix this mis-align issue?
thank in advance.
below is the code and plot.

fig = make_subplots(rows=5, cols=1, shared_xaxes='columns', vertical_spacing=0.03, specs=[[{"type": "Candlestick", "secondary_y": False}],[{"type": "xy", "secondary_y": True}],[{"type": "Candlestick", "secondary_y": False}],[{"type": "xy", "secondary_y": True}],[{"type": "xy", "secondary_y": True}]])
fig.add_trace(go.Candlestick(x=df.index, open=open, high=high, low=low, close=close, name=stock_symbol.upper()+'_'+Period+'_'+Interval),row=1, col=1, secondary_y=False)


fig.add_trace(go.Scatter(x=df.index, y=macd, name='macd'+'_'+Period+'_'+Interval), row=2, col=1, secondary_y=False)

fig.add_trace(go.Scatter(x=df.index, y=macdsignal, name='macd_signal'+'_'+Period+'_'+Interval), row=2, col=1, secondary_y=False)

marker_color_list=pd.Series(index=df.index, dtype=str, name='marker_color')

fig.add_trace(go.Candlestick(x=df.index, open=open, high=high, low=low, close=close, name=stock_symbol.upper()+''+Period+''+Interval),row=3, col=1, secondary_y=False)
fig.update_yaxes(title_text=stock_symbol.upper() + "_" + Period, range=[min(close)*0.99, max(close)*1.01], row=3, col=1)

fig.add_trace(go.Scatter(x=df.index, y=macd, name='macd'+'_'+Period+'_'+Interval), row=4, col=1, secondary_y=False)

fig.add_trace(go.Scatter(x=df.index, y=macdsignal, name='macd_signal'+'_'+Period+'_'+Interval), row=4, col=1, secondary_y=False)


fig.add_trace(go.Bar(x=df.index, y=macdhist, name='macdhist'+'_'+Period+'_'+Interval, marker_color =marker_color_list), row=4, col=1, secondary_y=True)

fig.add_trace(go.Scatter(x=df.index, y=rsi, name='RSI'+'_'+Period+'_'+Interval),row=5, col=1)

xaxis_dict= dict(type='category',visible= False)

xaxis5_dict=(dict(categoryorder='array',
                    showticklabels=True, 
                    tickangle=45, 
                    tickfont=dict(family='Arial, sans-serif',
                                  size=12,
                                  color='#909090'),
                    rangebreaks= [dict(bounds=["sat", "mon"]),
                                    dict(pattern='hour', bounds=[20, 4]),#hide weekends
                      # #                  # dict(values=us_holidays)
                                        ]
                    ),
              dict(categoryorder='array',
                    showticklabels=True, 
                    tickangle=45, 
                    tickfont=dict(family='Arial, sans-serif',
                                  size=12,
                                  color='#909090')
                    )
                )[Interval in long_interval_list]

fig.update_layout( height=800,
                    hovermode="x",
                    xaxis1=xaxis_dict, 
                    xaxis2=xaxis_dict, 
                    xaxis3=xaxis_dict, 
                    xaxis4=xaxis_dict, 
                    xaxis5=xaxis5_dict,    
                    xaxis_rangeslider=dict(visible=False),  
                    xaxis3_rangeslider=dict(visible=False)
                  )
fig.update_layout(xaxis1=dict(matches= 'x5'),
                  xaxis2=dict(matches= 'x5'),
                  xaxis3=dict(matches= 'x5'),
                  xaxis4=dict(matches= 'x5'),
                  xaxis5=dict(matches= 'x5'),
                  )

[gvwilson]

Hi - we are trying to tidy up the stale issues and PRs in Plotly's public repositories so that we can focus on things that are still important to our community. Since this one has been sitting for several years, I'm going to close it; if it is still a concern, please add a comment letting us know what recent version of our software you've checked it with so that I can reopen it and add it to our backlog. Thanks for your help - @gvwilson