Plotly Weekly & Monthly Range selector buttons not working on time series data

Hi,

I am having last 1 year time series financial data. I removed weekends as no data is present.

I created plotly viz, 2w,1m range selector buttons are not showing correct time range. While YTD,6m,all showing correct data.

2w button showing 2 week forward days but there is no data, want to see last two week and 1m data.

Reproducable Code-

# !pip install investpy
import pandas as pd
import investpy
import plotly.graph_objects as go
import plotly.figure_factory as ff
import plotly.express as px

today = datetime.now()  #Today Datetime
today_fut = today.strftime("%Y,%m,%d") #Converting today date to string format "%Y,%m,%d"
today_fut = datetime. strptime(today_fut, '%Y,%m,%d').date() #Converting today's date to "date" format for NSE Tools library
today = today.strftime("%d/%m/%Y") #Converting today date to string format "%d/%m/%Y"
one_year= datetime.today() - timedelta(days=370) #Subrtracting todays date with 370 Days
one_year = one_year.strftime("%d/%m/%Y") #Converting into  string format "%d/%m/%Y"

df = investpy.get_index_historical_data(index="Nifty 50",country="India",from_date=str(one_year),to_date= str(today))
print("Investpy NF Dataframe",df.tail())

bnf = investpy.get_index_historical_data(index="Nifty Bank",country="India",from_date=str(one_year),to_date= str(today))
print("Investpy BNF Dataframe",bnf.tail())

fig = go.Figure(data = [ go.Scatter(x = df.index,y = df['Close'],line=dict(color = 'Steelblue',width=2),mode='lines+markers',name = 'NIFTY'),
                        go.Scatter(x = bnf.index,y = bnf['Close'],line=dict(color = 'yellowgreen',width=2),mode='lines+markers',name = 'BANK NIFTY'),
                        ])
fig.update_layout(
    title='NF and BNF',template = 'plotly_dark',xaxis_tickformat = ' %d %B (%a)<br> %Y',
    yaxis_title='NF & BNF',yaxis_tickformat= "000",yaxis_side = 'right',xaxis_title='Date',legend = dict(bgcolor = 'rgba(0,0,0,0)'))

layout = go.Layout(showlegend=True)

##https://plotly.com/python/legend/
fig.update_layout(legend=dict(
    yanchor="top",
    y=0.99,
    xanchor="left",
    x=0.01  ))
#hide weekends
fig.update_xaxes( rangeslider_visible=True, rangebreaks=[
        dict(bounds=["sat", "mon"]) ])
##https://plotly.com/python/legend/
fig.update_layout(legend=dict(
    orientation="h",
    yanchor="bottom",
    y=1.02,
    xanchor="right",
    x=1
))


config = dict({'scrollZoom': False})

fig.update_layout(
    xaxis=dict(rangeselector=dict(buttons=list([
               dict(count=14,label="2w",step="day",stepmode="todate"),
               dict(count=1,label="1m",step="month",stepmode="backward"),
               dict(count=3,label="3m",step="month",stepmode="backward"),
               dict(count=6,label="6m",step="month",stepmode="backward"),
               dict(count=1,label="YTD",step="year",stepmode="todate"),
               dict(step="all") ])),rangeslider=dict(visible=True),type="date"))
fig.update_layout(
                  xaxis_rangeselector_font_color='white',
                  xaxis_rangeselector_activecolor='red',
                  xaxis_rangeselector_bgcolor='green',
                 )
 
fig.show()
pio.write_html(fig, file='wrong_range_selecor_for-2w&1m_button.html', auto_open=True)

Pls let me know , if there is any bug in plotly range selector or I am doing something wrong in
xaxis=dict(rangeselector=dict(buttons=list([xaxis=dict(rangeselector=dict(buttons=list([ code.
I tried dict(count=14,label="2w",step="day",stepmode="backward") but still same issue.

Snaps-
When I click on 2w but it show future dates, where no data is present in dataframe.

1m button snap-

首先，使用 issue 中所示的 xaxis.rangeselector 按钮和 rangebreaks 配置运行可复现的 Python 示例。比较交易日索引上 2w 和 1m 按钮的 todate 与 backward 行为；当所选范围以最新可用数据结束，并显示预期的历史时期时，即表示完成。