diff --git a/src/CSET/operators/collapse.py b/src/CSET/operators/collapse.py
index 5f65f97e3..723433201 100644
--- a/src/CSET/operators/collapse.py
+++ b/src/CSET/operators/collapse.py
@@ -39,8 +39,9 @@ def collapse(
     cube: iris.cube.Cube
          Cube to collapse and iterate over one dimension
     coordinate: str | list[str]
-         Coordinate(s) to collapse over i.e. 'time', 'longitude', 'latitude',
-         'model_level_number'. A list of multiple coordinates can be given.
+         Coordinate(s) to collapse over e.g. 'time', 'longitude', 'latitude',
+         'model_level_number', 'realization'. A list of multiple coordinates can
+         be given.
     method: str
          Type of collapse i.e. method: 'MEAN', 'MAX', 'MIN', 'MEDIAN',
          'PERCENTILE' getattr creates iris.analysis.MEAN, etc For PERCENTILE
diff --git a/src/CSET/operators/plot.py b/src/CSET/operators/plot.py
index d3ba680b4..d86bf5b20 100644
--- a/src/CSET/operators/plot.py
+++ b/src/CSET/operators/plot.py
@@ -23,7 +23,6 @@
 import iris.cube
 import iris.exceptions
 import iris.plot as iplt
-import matplotlib as mpl
 import matplotlib.pyplot as plt
 from markdown_it import MarkdownIt
 
@@ -164,7 +163,7 @@ def spatial_contour_plot(
     # plt.rc('ytick',labelsize=22)
 
     # Filled contour plot of the field.
-    iplt.contourf(cube, cmap=mpl.cm.magma)
+    iplt.contourf(cube)
 
     # Add coastlines.
     plt.gca().coastlines(resolution="10m")
@@ -243,7 +242,7 @@ def postage_stamp_contour_plot(
     colorbar = plt.colorbar(plot, colorbar_axes, orientation="horizontal")
     colorbar.set_label(f"{cube.name()} / {cube.units}")
 
-    plt.savefig(filename)
+    plt.savefig(filename, bbox_inches="tight")
     logging.info("Saved contour postage stamp plot to %s", filename)
     _make_plot_html_page(filename)
     return cube