James Adams

We previously added code to compute Pearson fitting using a scipy module, this can be revisited to see if it will improve performance while providing equivalent computations.

The notebook is now [available](https://hub.mybinder.org/user/monocongo-climate_indices-gyior5qk/notebooks/notebooks/PDSI_Canadian_Stations.ipynb), but not completely running yet. We now need to work out how to make the notebook live for users. It might be that the notebook...

Related discussion here: [Notebook added to binder but it doesn’t run (kernel not connected)](https://discourse.jupyter.org/t/notebook-added-to-binder-but-it-doesnt-run-kernel-not-connected/543)

I need to do the actual upload to PyPI since I'm the package owner. Thanks for the kick in the pants, and my apologies for letting this languish. If you'd...

Thanks @kurkutesa Are you running the notebook in a Jupyter server running on Graham and/or Cheyenne? When I developed that notebook I was running Jupyter on a laptop running Ubuntu...

I'm not sure what's going on yet. Are you saying that you can complete all the Palmers except scPDSI, and the scPDSI is the one that makes it hang? One...

Please see [this issue](https://github.com/monocongo/climate_indices/issues/370) which may be relevant.

Thanks @WeatherGod It might be best to merge the fitting parameters-related features from the `__spi__.py` script into `__main__.py` so that we can have everything together in one place. That script...

@heroldn There is nothing obviously wrong with your approach for SPEI outlined above. Basically, the SPI is just fitting the data to gamma and PearsonIII, and SPEI just subtracts PET...

This may have to do with the requirement to use 366-day years. It looks like you are using 365-day years. To fix this you need to add a time step...