Comments (9)
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
from pyextremes.
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
from pyextremes.
@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.
from pyextremes.
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
from pyextremes.
@andersdot what versions of pyextremes
and scipy
are you using? I fixed that issue in both libraries since July 2021.
from pyextremes.
scipy version 1.7.3 and pyextremes version 2.0.0
from pyextremes.
Please use pyextremes
version 2.2.2
or later, this error was fixed in that version.
from pyextremes.
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!
from pyextremes.
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
from pyextremes.
Related Issues (20)
- What's the meaning of "ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions" HOT 10
- Add API description HOT 1
- When getting extremes with threshold, pyextremes should warn that the threshold is too high/low HOT 1
- BUG: Results are not matched with ismev for MLE HOT 4
- Support of covariates HOT 1
- Error when running your quick start example HOT 3
- How are your confidence intervals calculated? HOT 3
- KS test gives incorrect test_statistic HOT 5
- alternative to block_size HOT 2
- Getting confidence intervals for MLE after fitting the model HOT 1
- Support for covariates HOT 2
- Long timeseries support: thinking beyond pandas datetime range HOT 3
- Extracting confidence intervals on fit parameters 'c', 'loc', and 'scale' HOT 1
- Confidence interval question HOT 3
- Error in plot_parameter_stability() HOT 3
- Multi-dimensional indexing (e.g. `obj[:, None]`) is no longer supported. Convert to a numpy array before indexing instead. HOT 3
- Error in plot_mean_residual_life for scipy v1.11.2
- Make pyextremes citable with zenodo? HOT 4
- Multiprocessing in MLE model prevents use on AWS Lambda Functions HOT 1
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