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facebook / prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
https://facebook.github.io/prophet
MIT License
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Error "ValueError: Invalid frequency: 3600" #502

Closed tutnes closed 6 years ago

tutnes commented 6 years ago

Trying to do this: `payment = payment.rename(columns={'Time': 'ds', 'Operations': 'y'}) payment_prophet = fbprophet.Prophet(changepoint_prior_scale=0.01) payment_prophet.fit(payment)

payment_forecast = payment_prophet.make_future_dataframe(periods=2, freq=60*60, include_history=False)`

But getting this error:

`INFO:fbprophet.forecaster:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this. Traceback (most recent call last): File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\tseries\frequencies.py", line 469, in to_offset splitted = re.split(opattern, freq) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\re.py", line 212, in split return _compile(pattern, flags).split(string, maxsplit) TypeError: expected string or bytes-like object

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\github\predict-py\predv2.py", line 22, in payment_forecast = payment_prophet.make_future_dataframe(periods=2, freq=60*60, include_history=False) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\fbprophet\forecaster.py", line 1221, in make_future_dataframe freq=freq) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\core\indexes\datetimes.py", line 2057, in date_range closed=closed, kwargs) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\util_decorators.py", line 118, in wrapper return func(*args, *kwargs) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\core\indexes\datetimes.py", line 292, in new freq = to_offset(freq) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\util_decorators.py", line 118, in wrapper return func(args, kwargs) File "C:\Users\tarje\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\tseries\frequencies.py", line 494, in to_offset raise ValueError(_INVALID_FREQ_ERROR.format(freq)) ValueError: Invalid frequency: 3600`

Running version: C:\github\pstools>pip show fbprophet Name: fbprophet Version: 0.2.1 Summary: Automatic Forecasting Procedure Home-page: https://facebook.github.io/prophet/ Author: Sean J. Taylor <sjt@fb.com>, Ben Letham <bletham@fb.com> Author-email: sjt@fb.com License: BSD Location: c:\users\tarje\appdata\local\programs\python\python36-32\lib\site-packages Requires: pandas, matplotlib, pystan Required-by:

tutnes commented 6 years ago

Ok,

I found the documentation on Pandas. https://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases