plotly Candlestick in python

Question

I built a Candlestick chart using the plotly and would like to know if it is possible to create on top of this graph, based on the column flag which contains the number 1, a rectangle superimposing the Candlesticks.

Code example:

import pandas as pd   
import plotly.graph_objects as go  

df = pd.DataFrame({"data_minu": ['30/10 09:00','30/10 09:05','30/10 09:10','30/10 09:15','30/10 09:20','30/10 09:25','30/10 09:30','30/10 09:35','30/10 09:40','30/10 09:45'],`insira o código aqui`
                   "Open":['10','17','23','20','8','22','24','25','29','22'],
                   "High":['21','27','25','29','24','27','28','32','29','25'],
                   "Low":['6','12','18','9','5','8','24','18','15','10'],
                   "Close":['17','24','22','10','21','25','26','30','18','10'],
                   "Flag": ['0','1','1','1','0','1','1','1','0','0']})   

fig = go.Figure(data=[go.Candlestick(x=df['data_minu'],
                open=df['Open'], high=df['High'],
                low=df['Low'], close=df['Close'])
                     ])

fig.update_layout(xaxis_rangeslider_visible=False)  
fig.show()

Current result:

Expected result:

Answer 1

blz. The staff of the plotly site helped me with that doubt. I share with vcs the response link. It is not the same, but it is easy to make adjustments to the initial idea.

https://community.plot.ly/t/plotly-candlestick-in-python-with-flag/31154

df = pd.DataFrame({"data_minu": ['30/10 09:00','30/10    
 09:05','30/10,09:10','30/10 09:15','30/10 09:20','30/10 09:25','30/10  
 09:30','30/10 09:35','30/10 09:40','30/10 09:45'],
                   "Open":['10','17','23','20','8','22','24','25','29','22'],
                   "High":['21','27','25','29','24','27','28','32','29','25'],
                   "Low":['6','12','18','9','5','8','24','18','15','10'],
                   "Close":['17','24','22','10','21','25','26','30','18','10'],
                   "Flag": ['0','1','1','1','0','1','1','1','0','0']})     

fig = go.Figure(data=[go.Candlestick(x=tickvals, #df['data_minu'],
                open=df['Open'], high=df['High'],
                low=df['Low'], close=df['Close'])
                     ])  

tickvals =[k*0.5 for k in range(len(df))]
ticktext=list(df["data_minu"])
fig.update_layout(xaxis_rangeslider_visible=False, xaxis_tickvals=tickvals, xaxis_ticktext=ticktext) 
for k, flag in  enumerate(df['Flag']):
    if int(flag):
        fig.add_shape(dict(type='rect',
                          xref='x', yref='y',  
                          layer='below',   
                          x0 = tickvals[k]-0.2, y0 = float(df.loc[k, 'Low'])-1,  
                          x1 = tickvals[k]+0.2, y1 = float(df.loc[k, 'High'])+1,  
                          fillcolor='orange', #'RoyalBlue',  
                          opacity=0.35))