adjust font size and add run_id to legends in FastEval

config/evaluate/eval_config.yml

@@ -5,6 +5,8 @@
 #  regions: ["europe", "global"] # Have regions here, if you want for them to apply to all streams (map generation)
 #  image_format : "png" #options: "png", "pdf", "svg", "eps", "jpg" ..
 #  animation_format: "gif" #options: "mp4", "gif"
+#  font_size: 12
+#  font_type: "serif" 
 
 #  dpi_val : 300
 #  fps: 2

packages/evaluate/src/weathergen/evaluate/plotting/plot_orchestration.py

@@ -305,8 +305,11 @@ def run_score_map_pipeline(
         "fig_size": cfg.get("fig_size", None),
         "animation_format": cfg.get("animation_format", "gif"),
         "fps": cfg.get("fps", 2),
+        "font_size": cfg.get("font_size"),
+        "font_type": cfg.get("font_type"),
     }
     output_basedir = str(reader.runplot_dir)
+    apply_font_settings(plotter_cfg)
     run_id = reader.run_id
 
     _computed, raw_results = _compute_scores(
@@ -888,9 +891,12 @@ def plot_data(
         "log_y": global_plotting_opts.get("log_y", False),
         "n_bins": global_plotting_opts.get("n_bins", 50),
         "plot_subtimesteps": reader.get_inference_stream_attr(stream, "tokenize_spacetime", False)
+        "font_size": global_plotting_opts.get("font_size"),
+        "font_type": global_plotting_opts.get("font_type"),
         | plot_settings.get("plot_subtimesteps", False),
     }
 
+    apply_font_settings(plotter_cfg)
     plotter = Plotter(plotter_cfg, reader.runplot_dir)
 
     available_data = reader.check_availability(stream, mode="plotting")
@@ -1251,8 +1257,11 @@ def plot_summary(cfg: dict, scores_dict: dict, summary_dir: Path):
         "add_grid": eval_opt.get("add_grid", False),
         "plot_ensemble": eval_opt.get("plot_ensemble", False),
         "baseline": eval_opt.get("baseline", None),
+        "font_size": plt_opt.get("font_size"),
+        "font_type": plt_opt.get("font_type"),
     }
 
+    apply_font_settings(plot_cfg)
     # Prefix the output directory with a run_ids identifier so that
     # different evaluation configs can coexist in the same base directory.
     run_ids_str = "_".join(sorted(runs.keys()))

packages/evaluate/src/weathergen/evaluate/plotting/plot_utils.py

@@ -17,9 +17,31 @@
 import xarray as xr
 from numpy.typing import NDArray
 
+import matplotlib as mpl
+
 _logger = logging.getLogger(__name__)
 
 
+def apply_font_settings(cfg: dict) -> None:
+    """Apply font settings from plotter config to matplotlib rcParams.
+
+    Parameters
+    ----------
+    cfg : dict
+        Plotter configuration dictionary.  Recognised keys:
+
+        - ``font_size``: base font size (default: matplotlib default)
+        - ``font_type``: font family, e.g. ``'serif'``, ``'sans-serif'``,
+          ``'monospace'`` (default: matplotlib default)
+    """
+    font_size = cfg.get("font_size")
+    font_type = cfg.get("font_type")
+    if font_size is not None:
+        mpl.rcParams["font.size"] = font_size
+    if font_type is not None:
+        mpl.rcParams["font.family"] = font_type
+
+
 class PlotSubdir(str, Enum):
     """Known plot subdirectory names produced by the plotting pipeline.
 
@@ -393,12 +415,15 @@ def plot_metric_region(
                     continue
 
                 selected_data.append(data.sel(channel=ch))
-                labels.append(runs[run_id].get("label", run_id))
+                label = runs[run_id].get("label", run_id)
+                if label != run_id:
+                    label = f"{run_id} - {label}"
+                labels.append(label)
                 run_ids.append(run_id)
                 colors.append(runs[run_id].get("color", None))
 
             if selected_data:
-                _logger.info(f"Creating line plot for {metric} - {region} - {stream} - {ch}.")
+                _logger.info(f"Creating plot for {metric} - {region} - {stream} - {ch}.")
 
                 name = create_filename(
                     prefix=[metric, region], middle=sorted(set(run_ids)), suffix=[stream, ch]
@@ -760,7 +785,10 @@ def quantile_plot_metric_region(
                     qq_full_data.append(qq_dataset)
 
                 selected_data.append(data_for_channel)
-                labels.append(runs[run_id].get("label", run_id))
+                label = runs[run_id].get("label", run_id)
+                if label != run_id:
+                    label = f"{run_id} - {label}"
+                labels.append(label)
                 run_ids.append(run_id)
 
             if selected_data:

packages/evaluate/src/weathergen/evaluate/plotting/plotter.py

@@ -575,7 +575,7 @@ def create_maps_per_sample(
                         region,
                         tag=tag,
                         map_kwargs=self._match_glob_kwargs(map_kwargs, var) | map_kwargs_stream,
-                        title=self.get_map_title(var, valid_time, da_t),
+                        title=self.get_map_title(var, valid_time, da_t, tag=tag),
                     )
                     plot_names.append(name)
 
@@ -1165,7 +1165,7 @@ def get_hist_output_dir(self):
         """
         return self.out_plot_basedir / self.stream / "histograms"
 
-    def get_map_title(self, var, valid_time, data):
+    def get_map_title(self, var, valid_time, data, tag=""):
         """Build the title string for a map plot.
 
         Parameters
@@ -1178,13 +1178,18 @@ def get_map_title(self, var, valid_time, data):
         data : xr.DataArray
             DataArray from which to extract ``valid_time`` range when
             *valid_time* is ``None``.
+        tag : str
+            Plot tag. When ``"targets"``, ``" (target)"`` is appended
+            to the title.
 
         Returns
         -------
         str
             Formatted title string.
         """
         title = f"{self.stream}, {var} : fstep = {self.fstep:03}"
+        if tag == "targets":
+            title += " (target)"
         if valid_time is not None:
             title += f" ({format_datetime(valid_time)})"
         elif "valid_time" in data.coords: