Save forecast data to csv-CodePudding

Hello I have this code.

forecast = m.predict(future)
forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']]
forecast.tail(365)

    ds  trend   yhat_lower  yhat_upper  trend_lower trend_upper additive_terms  additive_terms_lower    additive_terms_upper    weekly  weekly_lower    weekly_upper    multiplicative_terms    multiplicative_terms_lower  multiplicative_terms_upper  yhat
307 2022-12-30 01:00:00 8744.804921 4151.683644 19973.732090    8744.804921 8744.804921 3425.715807 3425.715807 3425.715807 3425.715807 3425.715807 3425.715807 0.0 0.0 0.0 12170.520728
308 2022-12-30 02:00:00 8743.882714 3948.935733 20003.308794    8743.882714 8743.882714 3691.081394 3691.081394 3691.081394

So I want to download/export this forecast data as csv file.

from google.colab import files
files.download() # ? what I need do here.

Thanks a lot

CodePudding user response：

forecast.to_csv('forecast.csv')

CodePudding user response：

I found the solution.

forecast = m.predict(future)
forecast_data = forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']]
#forecast.tail(365)
print (forecast_data)

forecast_data.to_csv('myCsv.csv')
f.close()