import pandas as pdimport datetime as dt# !pip install yfinanceimport yfinance as yfimport plotly.graph_objects as goimport numpy as np# Initial data & get dataframe start = dt.date(2023, 4, 15)end = dt.date(2023, 4, 21)ticker = 'SPY'df = yf.download(ticker, start, end, progress=False, interval='1m')def calc_rangebreak(time_series: pd.Series):""" Caculate the bounds of missing data returns: list of dictionaries suitable for plotly rangebreak""" timedeltas = time_series.diff() if len(time_series) < 2: return [] # find index of the gaps where it is 50% greater than the median time interval missing_times = np.where([timedeltas > timedeltas.median() * 1.5])[1] # Tiny offset to account for numerical precision off = pd.Timedelta(seconds=0.0001) rb = [{'bounds': [str((time_series.iloc[t - 1] + off)), str((time_series.iloc[t] - off))]} for t in missing_times] return rb# Make Graphfig = go.Figure()fig.add_trace(go.Scatter( x=df.index, y=df['Adj Close'], mode='lines'))rangebreak_bounds = calc_rangebreak(df.index.to_series())fig.update_xaxes(rangebreaks=rangebreak_bounds)fig.show()this solution greatly help me solve issues with gaps in plotly charts,i should say that i found this solution and it works as said,thanks to every one doing the great job of helping each other