importpandasaspd;importnumpyasnpimportplotly.graph_objectsasgofromplotly_resamplerimportFigureResamplerfromplotly_resampler.aggregationimportM4# 1. Create dummy datax=np.arange(2_000_000)x_time=pd.date_range("2020-01-01",periods=len(x),freq="1min")noisy_sin= (3+np.sin(x/ (len(x)/55))+np.random.randn(len(x))/10)*x/1_000# 2. Create a figurefig=FigureResampler(default_n_shown_samples=1000,verbose=False)fig.add_trace(go.Scattergl(name="Original",mode="lines",visible="legendonly"),hf_x=x_time,hf_y=noisy_sin,)fig.add_trace(go.Candlestick(name="OHLC"),hf_x=x_time,hf_y=noisy_sin,downsampler=M4(parallel=True),max_n_samples=400,)fig.update_layout(title="OHLC Downsampling",showlegend=True)fig.update_xaxes(rangeslider_visible=False)fig