Finalise GP recipe 19 plot and functional code

Author: sadielbartholomew

docs/source/recipes/plot_19_recipe.py

@@ -18,16 +18,14 @@
 
 # Collapse data by area mean (average over spatial dimensions)
 am_max = sst.collapse("area: maximum")  # equivalent to "X Y: mean"
-am_min = sst.collapse("area: minimum")  # equivalent to "X Y: mean"
-print("AM SEASONAL IS", am_min, am_max)
+am_min = sst.collapse("area: minimum")
 
 # Reduce all timeseries down to just 1980+ since there are some data
 # quality issues before 1970
 am_max = am_max.subspace(T=cf.ge(cf.dt("1980-01-01")))
 am_min = am_min.subspace(T=cf.ge(cf.dt("1980-01-01")))
-print("FINAL FIELDS ARE", am_max, am_min)
 
-# TODO
+# TODO COMMENT
 colours_seasons_map = {
     "red": (cf.mam(), "Mean across MAM: March, April and May"),
     "blue": (cf.jja(), "Mean across JJA: June, July and August"),
@@ -36,7 +34,7 @@
 }
 
 cfp.gopen(
-    rows=2, columns=1, bottom=0.1, top=0.75, file="global_avg_sst_plot.png")
+    rows=2, columns=1, bottom=0.1, top=0.85, file="global_avg_sst_plot.png")
 
 # Put maxima subplot at top since these values are higher, given
 # increasing x axis
@@ -46,6 +44,9 @@
     "including seasonal means of these extrema",
     fontsize=18,
 )
+# Set limits manually only to allow space so the legend doesn't overlap the
+# data, which isn't possible purely from positioning it anywhere
+cfp.gset(xmin="1980-01-01", xmax="2022-12-01", ymin=304, ymax=312)
 for colour, season_query in colours_seasons_map.items():
     query_on_season, season_description = season_query
     am_sub = am_max.collapse("T: mean", group=query_on_season)
@@ -54,21 +55,19 @@
         color=colour,
         markeredgecolor=colour,
         marker="o",
-        xlabel="",
         label=season_description,
         title="Maxima per month or season",
-        # TODO FONTSIZE HERE
     )
 cfp.lineplot(
     am_max,
     color="grey",
     xlabel="",
-    ylabel="Temperature (K)",
-    label="All months"
+    label="All months",
 )
 
 # Minima subplot below the maxima one
 cfp.gpos(2)
+cfp.gset(xmin="1980-01-01", xmax="2022-12-01", ymin=269, ymax=272)
 for colour, season_query in colours_seasons_map.items():
     query_on_season, season_description = season_query
     am_sub = am_min.collapse("T: mean", group=query_on_season)