I'm working with TimeSeries in python with data that looks like this:
Day Revenue
2 0.000793
3 0.825542
4 0.320332
5 1.082554
Note: It starts on day 2 because day 1 was 0, so I removed it.
I receive an error that says AttributeError: 'Int64Index' object has no attribute 'inferred_freq'
decomposition = seasonal_decompose(df_log)
model = ARIMA(df_log, order=(2,1,2))
results = model.fit(disp=-1)
plt.plot(df_log_shift)
plt.plot(results.fittedvalues, color='red')
With that error, I tried
decomposition = seasonal_decompose(df_log, freq ="d")
and am now receiving this error: TypeError: not all arguments converted during string formatting
Any ideas?