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andersdot avatar andersdot commented on July 18, 2024

If it's helpful this is what model.extremes looks like

Date_Time
1999-04-21 22:52:00    21.1
2000-05-07 22:52:00    20.3
2001-11-22 19:52:00    20.2
2002-03-13 22:52:00    21.2
2003-06-23 21:52:00    19.0
2004-05-10 22:52:00    20.6
2005-03-28 22:52:00    20.3
2006-04-05 20:52:00    19.7
2007-04-12 17:52:00    22.7
2008-06-04 22:52:00    22.4
2009-03-22 17:52:00    20.8
2010-12-30 03:52:00    19.8
2011-02-16 20:52:00    20.8
2012-03-06 22:52:00    24.0
2013-04-08 16:52:00    20.6
2014-05-10 23:52:00    21.4
2015-04-25 20:52:00    21.9
2016-04-25 20:52:00    21.0
2017-03-30 21:52:00    24.5
2018-04-12 23:52:00    20.5
2019-11-25 20:52:00    22.0
2020-06-28 20:52:00    20.5
2021-10-11 22:52:00    22.6
2022-01-22 04:52:00    20.0
Name: WG, dtype: float64

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andersdot avatar andersdot commented on July 18, 2024

And this is model.extremes for a model that fit quickly

Date_Time
1999-10-07 05:52:00    22.6
2000-06-20 04:52:00    23.4
2001-05-06 01:52:00    22.3
2002-10-17 05:52:00    23.8
2003-09-21 05:52:00    24.8
2004-10-06 02:52:00    23.9
2005-09-30 01:52:00    21.5
2006-08-22 02:52:00    23.0
2007-07-01 06:52:00    22.9
2008-09-18 05:52:00    21.4
2009-11-18 04:52:00    24.8
2010-07-12 04:52:00    19.4
2011-07-28 04:52:00    20.6
2012-11-28 05:52:00    28.0
2013-05-08 06:52:00    21.9
2014-07-07 06:52:00    23.8
2015-03-14 04:52:00    19.7
2016-08-17 03:52:00    24.4
2017-09-22 05:52:00    24.0
2018-05-24 15:52:00    22.9
2019-06-10 03:52:00    23.2
2020-05-24 09:52:00    23.6
2021-07-26 11:52:00    25.3
2022-01-08 12:52:00    16.5
Name: WG, dtype: float64

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georgebv avatar georgebv commented on July 18, 2024

@andersdot extracted extreme values look normal, it is impossible to say more based on information you provided. I would need to reproduce your issue and for that I need to repeat the same steps - please provide your code (only portion related to pyextremes is required) and all inputs provided to it.

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andersdot avatar andersdot commented on July 18, 2024

I found an error in my Jupyter notebook log that said AttributeError: 'gumbel_r_gen' object has no attribute 'wrapper' and noticed you had written to scipy about this issue. I have a minimal working example with a 52MB .csv file and .ipynb file but github won't allow me to attach them. Can I email them to you? Cheers

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georgebv avatar georgebv commented on July 18, 2024

@andersdot what versions of pyextremes and scipy are you using? I fixed that issue in both libraries since July 2021.

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andersdot avatar andersdot commented on July 18, 2024

scipy version 1.7.3 and pyextremes version 2.0.0

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georgebv avatar georgebv commented on July 18, 2024

Please use pyextremes version 2.2.2 or later, this error was fixed in that version.

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andersdot avatar andersdot commented on July 18, 2024

pip doesn't seem to have a version > 2.0.0 but I cloned the git repo and installed from source and that worked like a charm. Thanks!

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georgebv avatar georgebv commented on July 18, 2024

You should be able to install using both pip and anaconda. You can see PyPI version history here: https://pypi.org/project/pyextremes/#history

You may have other packages in your environment with pinned dependencies which may be blocking the update

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