[contrasting] add plot to compare the size of confidence interval between the pointwise approach and the piecewise elevational-temporal approach. bootstrap level is set to 100

[contrasting] implement bootstrap confidence interval both for pointwise stationary models and for elevation-temporal models. accelerate bootstraping with multiprocessing & storing of fitted functions only (storing the estimator was impossible).

[contrasting] harmonize coherence plot & preliminary plot. add verification script for return levels.

[contrasting] change reference altititudes. change cmap for the plots. change axis for the preliminary plots.

[contrasted] add massif_name_to_annual_total to abstract_study. add plot that compare side by side the total snowfall & maxima of snowfall.

[snow projection] improve rank & bias plots. remove dataset attribute for abstract_adamont_study.py.

[snow projection] improve drastically the loading time for the abstract_adamont_study.py based on a simple conversion to numpy array.
 remove fit_method from plot_map argument.

[contrasting v2] fix one condition. keep all one fold fit, with at least one valid (and not one non stationary model). change xlabel for in altitude_group.py

[contrasting v2] improve a lot of all my plots (i save both a transparent version in svg & a non transparent in png).

[contrasting v2] download_adamont.py all studies. Lower a bit the text for some massif. files are by default generated in svg from now on.
change group -> range. remove the elevation 3900 from the high-elevation range.

add altitude argument to adamont studies. refactor a bit. add time series display for adamont series

[contrasting] improve plots. last version of the plot for the v1. improve the size of the label. improve also the process to get the legend for coherence plot

[contrasting] improve plots. add comma to the name of the models. change altitude to elevation in several plots.

[contrasting] for preliminary_analysis.py from now we use fevd fit method & fit on series with more than 90% of non zero maxima. improve coherence plot

[contrasting] add general test for test_gev_spatio_temporal_polynomial_extremes_mle.py. refactor a bit