I wrote the following code (minimally working example) that uses plotly to show candlestick charts in real-time.

It works great.

However, the only issue I have is that every time I receive new data there will be a new plotly figure and over time I will end up having many opened figures, which I don’t want.

Is there any way to plot everything in a single plot and update the same figure with new data?

import pandas as pd
import plotly.graph_objects as go
from datetime import datetime
from time import sleep
import random

ohlc_data = pd.DataFrame(columns=["timestamp", "open", "high", "low", "close", "volume"])
fig = go.Figure(data=[go.Candlestick(x=[], open=[], high=[], low=[], close=[])])
fig.update_layout(title=f'Live Candlestick Chart', xaxis_title='Time', yaxis_title='Price')

def update_live_chart(fig, df):
    fig.update_traces(x=df['timestamp'], open=df['open'], high=df['high'], low=df['low'], close=df['close'])


while True:

    sleep(1)
    new_data = pd.DataFrame([{
        "timestamp": datetime.now().timestamp(),
        "open": random.randint(100, 110),
        "high": random.randint(100, 110),
        "low": random.randint(100, 110),
        "close": random.randint(100, 110),
        "volume": random.randint(100, 110)
    }])

    ohlc_data = pd.concat([ohlc_data, new_data], ignore_index=True)
    ohlc_data = ohlc_data.tail(100)
    update_live_chart(fig, ohlc_data)

    fig.show()