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Created with Raphaël 2.2.06Apr31Mar302726252423201918167643228Feb27261813121110730Jan24222120138718Dec17161110532129Nov2827262523222113731Oct3028252422211816420Sep1918111095431Jul2925171615121Jun19181712111097654329May2827232221201615141310976328Mar252221201918118754128Feb26252221201913121124Jan2214319Dec1413121065430Nov2928272623211514139765230Oct29[contrasting project] add pyrenees data. add refuge_sarradet.py analysis[contrasting project] add plot_contrasting_trend_curves_massif[contrasting project] add file that enable to reveal the snow partition for biggest snow load observed. refactor crocus files[contrasting project] add test for study loader. refactor their init function to have a better error message.[contrasting project] add fitted_stationary_gev. remove gev fit classes[contrasting project] add l_moments method for estimating stationary mle[contrasting project] remove the restriction of maxima to winter. because i will focus only on snowfall so i don't really need that restriction[contrasting project] change some plot parameters[contrasting project] generate plot for the trends in return levels for the winter extended. do the same for the distribution of wps. remove winter_maxima and summer_maxima in abstract_study.py[contrasting project] add test_year_to_winter_date. add the possibility to select a season for in abstract_study.py[contrasting project] modify nb_years. and improve the dictionary that sumps up the storms[contrasting project] modify dictionary related to wp to make them depend[contrasting project] add main_distribution_wps.py to study the (spatial and temporal) distribution of weather patterns that are causing maxima in the different region of the French Alps[contrasting project] replace the index of df_weather_types. add test_weather_patterns_maxima[contrasting project] add test anticyclonic days[contrasting project] modify year_to_days to match with the definition.[contrasting project] modify year_max, from now on it will be the year max reached by the data, and not the year max + 1.[contrasting project] add test assertion for the weather patterns. rename constant file to utils.py. add some function to create a standard str for the dates.[contrasting project] add test for the percentage of weather types.[quantile regression project] final commit. merge with branch master.[quantile regression project] final modification. attempt to add multiprocessing. but results are not conclusive[quantile regression project] fix bugs in daily_observations.py for the creation of the coordinates for the daily fit. some fix to prepare for some potential non stationary exponential model one day[quantile regression project] add quantile regression on daily values[quantile regression project] add test exp simulations (stationary and non stationary) for models on annual maxima. Prepare the code to fit with non stationary exponential models[quantile regression project] add annual maxima osbervation from daily exponential. add sammple_r_function as argument to rmargin_from_nb_obs. add abstract extreme params[quantile regression project] add annual maxima osbervation from daily exponential. add sammple_r_function as argument to rmargin_from_nb_obs[quantile regression project] add exp params. refactor annual maxima simulations[contrasting project] add global mean temperature data, and add test for adding these covariate to the coordinates.[contrasting project] fix memory issue that was happening while loading many precipitation studies. issue #300[contrasting project] fix memory issue that was happening while loading many precipitation studies. issue #300[contrasting project] add weather type loader[quantile regression project] improve display for the quantile regression simulation framework[quantile regression project] refactor simulations. add transformed coordinate to the quantile functions[quantile regression project] refactor imports for quantile estimators. two fix: nb_obs=1 in GevSimulation.py and df_merged correspond to df_coordinates from now on (such as it takes into account the transformation if there is one)[quantile regression project] add test_non_stationary_run for simulations[quantile regression project] first stationary run for the gev simulation[quantile regression project] add test_gev_simulations.py. add basic version for the simulation[refactor] create some subfiles for quantile estimators[refactor] add test_default_transformation[refactor] refactor test_quantile_estimator.py. Quantile estimators works for any temporal coordinates.