calc-average-death-factor.py

# calculate an average death rate from lagged data
avg_death_from_positive_cases = df["death_prediction_scalar"].rolling(window=rolling_avg).mean()
stable_period = 45
start = lag - stable_period # calculates the index from end of dataframe to start the calculation
death_factor = avg_death_from_positive_cases[start:lag].mean() # average of smoothed data
# copy death scalar to an entire column

df['avg_death_factor'] = [death_factor] * len(df.index) # copies value to entire column

df['predicted_death'] = df['positiveIncrease'] * df['avg_death_factor']