Update recipe 19: gopen & gclose in same block for plot to emerge

Author: sadielbartholomew

docs/source/recipes/plot_19_recipe.py

@@ -46,19 +46,17 @@
 }
 
 # %%
-# 6. Create and open the plot file:
-cfp.gopen(
-    rows=2, columns=1, bottom=0.1, top=0.85, file="global_avg_sst_plot.png"
-)
-
-# %%
-# 7. Put maxima subplot at top since these values are higher, given
-# increasing x axis. Note we set limits manually with 'gset' only to
+# 6. Create and open the plot file. Put maxima subplot at top since these
+# values are higher, given increasing x axis.
+# Note we set limits manually with 'gset' only to
 # allow space so the legend doesn't overlap the data, which isn't
 # possible purely from positioning it anywhere within the default plot.
 # Otherwise cf-plot handles this for us. To plot the per-season means
 # of the maxima, we loop through the season query mapping and do a
 # "T: mean" collapse setting the season as the grouping:
+cfp.gopen(
+    rows=2, columns=1, bottom=0.1, top=0.85, file="global_avg_sst_plot.png"
+)
 cfp.gpos(1)
 cfp.gset(xmin="1980-01-01", xmax="2022-12-01", ymin=304, ymax=312)
 for colour, season_query in colours_seasons_mapping.items():
@@ -78,11 +76,9 @@
     xlabel="",
     label="All months",
 )
-
-# %%
-# 8. Create and add minima subplot below the maxima one. Just like for the
+# Create and add minima subplot below the maxima one. Just like for the
 # maxima case, we plot per-season means by looping through the season query
-# mapping and doing a "T: mean" collapse setting the season as the grouping:
+# mapping and doing a "T: mean" collapse setting the season as the grouping
 cfp.gpos(2)
 cfp.gset(xmin="1980-01-01", xmax="2022-12-01", ymin=269, ymax=272)
 for colour, season_query in colours_seasons_mapping.items():
@@ -100,9 +96,7 @@
     am_min,
     color="grey",
 )
-
-# %%
-# 9. Add an overall title to the plot and close the file to save it:
+# Add an overall title to the plot and close the file to save it
 plt.suptitle(
     "Global mean sea surface temperature (SST) monthly\nminima and maxima "
     "showing seasonal means of these extrema",