set up a candlestick chart using plotly and would like to know if you can create on top of that chart based on the flag column containing the number 1, a rectangle that overlaps candlesticks Exemplo: 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'], "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()

@haraujo To add rectangular shapes to your flagged candlesticks we are performing a trick: map the time interval to an arbitrary interval, let us say, [0, 4.5] defining: tickvals = [k*0.5 for k in range(len(df))] Then we define the candlestick with values x=tickvals, but take care to display as tick labels at the locations of these values the strings in df["data_minu"]. In this way we can easily define rectangular shapes: 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'], "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)) [candlesticks]

Plotly candlestick in python with flag

📊 Plotly Python

haraujo November 13, 2019, 12:07pm 3

Sensational!!! Many thanks for the reply.

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Plotly candlestick in python with flag

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