oelsmann / discotimes Goto Github PK

adapt ymod function to other required settings e.g. no trend but offsets

Hi users and developers,

I have a question about computation time when running this software.
So far I actually only wanted to work through the tutorial with the example dataset.

I have to admit, that the step series = file_reader(file,variable='auto',resample='W') took ages (actually never finished) and digging into the code I found the step data['Year']=pd.to_datetime(data['Year']-1970.,unit='Y') being the reason. This date conversion is super slow or "hangs". I have no explanation.

After copy/pasting the code of the file_reader() function and manually executing it on the dataset with a workaround of the above mentioned critical line, I could manage to retrive the pd.series.

But now in the next step dt_model = dt(series,settings=settings,name='G103') again, it takes forever without finishing. I checked with programm htop and one core is constantly on 100% load. After several hours it still did not finish. The dataset is actually not really long so I am puzzled what could be the cause.

I would really love to test this code and idea but am getting obstacle after obstacle.

Any advice, cross-check, questions and remarks are highly appreciated!

Thanks!

Hi,

thanks for this piece of software! It sounds really cool and I wanted to test and try it straight away when I read about it.
Sadly this is not working out. I thought maybe you have a "perfect setup" that would help it.

I tried on different machines, both Linux and windows.
Python 3.9 and 3.10
Different versions of numpy (as this is part of the error I guess).

E.g. running:

from discotimes.discotimes import file_reader 

I always get the following error:

module 'numpy.distutils.__config__' has no attribute 'blas_opt_info'

Did anyone experience the same or similar and knows a fix?
Which numpy version is working well for this?

Would be highly appreciated!

Thanks already! :)