Prophet on CoCalc

Forecasting at scale!

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import pandas as pd
from fbprophet import Prophet

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fn = "example_wp_log_peyton_manning.csv"

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! wget -q -O $fn https://raw.githubusercontent.com/facebook/prophet/master/examples/example_wp_log_peyton_manning.csv

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df = pd.read_csv(fn)
df.head()

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m = Prophet()
m.fit(df)

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INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.

<fbprophet.forecaster.Prophet at 0x7f1715940048>

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future = m.make_future_dataframe(periods=365)
future.tail()

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

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fig1 = m.plot(forecast)

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fig2 = m.plot_components(forecast)

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