plot is not showing as per as the doc mention about statsforecast

[jmoralez]

Hey @neonarc4, thanks for using statsforecast. The plot method returns a matplotlib figure, which you can't print. If you're running a script you can save it like this:

fig = sf.plot(df, forecast_df, level=[90])
fig.savefig('myfigure.png')

and then open it.

If you're using jupyter you can just run fig and it will be displayed.

[mergenthaler]

Hi @neonarc4 thanks for using StatsForecast.

The "seasonality length" parameter refers to the number of time periods it takes for a full seasonal cycle to complete in your data. Eg:

Data Frequency	Seasonality Length	Description
Monthly	12	Yearly cycle (12 months in a year)
Quarterly	4	Yearly cycle (4 quarters in a year)
Weekly	52	Yearly cycle (52 weeks in a year)
Daily	7	Weekly cycle
Hourly	24	Daily cycle

Level refers to prediction intervals. See: https://nixtlaverse.nixtla.io/statsforecast/docs/tutorials/uncertaintyintervals.html

[neonarc4]

thnx bro what is session length and level do ? and in docs their mention parallel when i try to set it say it missing bug