- Harmonized the parameters for all plotting functions. Removed the `plot_args` argument from all functions. Now, default parameters, such as `title`, `figsize` and many other repeating parameters are now found in a global dictionary `DEFAULT_PLOT_ARGS`. All plotting functions now default to these parameters and update a copy of it with **kwargs, thus having control to customize plots. Relevant parameters to the function are left in the function signature.
 - Added type hints for all signatures.
 - Removed functions `plot_cumulative_events_versus_time_dev`, `plot_ecdf`, `plot_magnitude_histogram_dev`.
 - Refactored catalog evaluation plot functions `plot_number_test`, `plot_magnitude_test`, `plot_spatial_test`, `plot_likelihood_test` into a generic `plot_distribution_test` (Should it be renamed plot_consistency_test?). Automatic annotations for each type test are done if required, or when called directly from EvaluationResult subclasses.
 - The function `plot_poisson_consistency_test` was collapsed onto `plot_consistency_test`, which also included the negative binomial model.
 - Reworked `plot_magnitude_vs_time`: removed some old functionality and give the possibility to scale the size of each event by its magnitude. Added datetime formatter/locator
 - Reworked`plot_cumulative_events_versus_time`. Now it has the option to plot with the real datetimes, or hours/days after a given mainshock.
 - Now plot_magnitude_histogram plots in log scale.
 - plot_basemap now allows cacheing of downloaded data
 - Created or refactored from existing functions multiple helper functions to ease unit testing and code readability: `_get_basemap`,`_autosize_scatter`, `_size_map`, `_autoscale_histogram`, `_annotate_distribution_plot`, `_calculate_spatial_extent`, `_create_geo_axes`, `_calculate_marker_size`, `_add_gridlines`, `_define_colormap_and_alpha`, `_add_colorbar`, _process_stat_distribution`. These still needs some review, type hinting and further refactoring if necessary.
 tests: Completed test coverage of almost all plots.py functions. Added test artifacts for catalog based evaluations (catalogs, forecasts, test results).

…he same projection of the cartopy GeoAxes.

ft: Added cache handler for plot_basemap. Uses the cache option from cartopy, but removes the cache if a different basemap source is selected (otherwise it would get stuck with the first cached map).
tests: added .tif basemap plotting to existing unit tests
build: added rasterio as requirement

… functions.

…d unused helper functions

…ent into the EvaluationResult, as part of the test_distribution attribute: ('negbinom', mean, variance). plot_consistency_test() now does not accept variance as attribute, but it is rather obtained when processing the negative binomial distribution.

tests: unittests of consistency test now do not accept variance argument, and negative_binomial mocks contain the second variance parameter as part of the test_distribution

…t is not necessary to set it again when plotting. plot_comparison_test() includes a default legend that explains the symbology therein.

…em compatible with sphinx docs. Reordered the index of the API reference docs for plotting functions. Also added EvaluationResult and CartesianGrid2D.get_cartesian, which are referenced by the plot docs. Added cartopy for intersphinx_mapping

refac: Renamed plot_spatial_dataset to plot_gridded_dataset (since catalogs are also a spatial datasets)

…of plot_args. Kept the `plot_args` for legacy compatibility.

docs: Adapted tutorials to the new plot refactoring. Added catalog_plot to Catalog Operations tutorial.
ft: Added higher resolutions for basemap autoscale functions, in case extent is lower.