Comments (3)
Before answering your question, I don't recommend mixing pip and conda together. Pyextremes is available on conda forge as conda install -c conda-forge pyextremes
.
Regarding your question, data
must be pandas.Series
object with date time index. Try passing it to EVA
and see what it tells you https://georgebv.github.io/pyextremes/quickstart/#create-model
from pyextremes.
I confirm that data
is a panda.Series
object, and if not, Mean Residual Life can not be ploted.
I follow your suggestion to recreate a enviroment. Unfortunately, it still don't work as before:
conda create --name EVA_env python=3.11
conda activate EVA_env
conda install -c conda-forge pyextremes
from pyextremes.
Please follow all instructions from my previous message (about index and EVA
), those should resolve your issue
from pyextremes.
Related Issues (20)
- Add API description HOT 1
- model.get_summary and model.plot_diagnostics taking a long time HOT 9
- 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
- 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
- Digital Object Identifier for pyextremes HOT 2
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