# Prophet Forecasting

## Question:

My dataframe is in weekly level as below:

sample

was trying to implement prophet model using the below code.

```
df.columns = ['ds', 'y']
# define the model
model = Prophet(seasonality_mode='multiplicative')
# fit the model
model1=model.fit(df)
model1.predict(10)
```

I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?

I need to predict the output in a weekly level for the next 10 weeks.How can I fix this?

## Answers:

You need to use `model.make_future_dataframe`

to create new dates:

```
model = Prophet()
model.fit(df)
future = model.make_future_dataframe(periods=10)
predictions = model.predict(future)
```

`predictions`

will give predicted values for the whole dataframe, you can reach to the forecasted values for the next 10 weeks with simple indexing:

```
future_preds = predictions.iloc[-10:]
```