Adds fixed figure size and font size to make corner plot less awkward

RATapi/utils/plotting.py

@@ -1,14 +1,15 @@
 """Plot results using the matplotlib library."""
 
 import copy
+import types
 from functools import partial, wraps
 from math import ceil, floor, sqrt
 from statistics import stdev
-from textwrap import fill
 from typing import Callable, Literal, Optional, Union
 
 import matplotlib
 import matplotlib.pyplot as plt
+import matplotlib.transforms as mtransforms
 import numpy as np
 from matplotlib.axes._axes import Axes
 from scipy.ndimage import gaussian_filter1d
@@ -668,11 +669,15 @@ def plot_corner(
 
     num_params = len(params)
 
-    fig, axes = plt.subplots(num_params, num_params, figsize=(2 * num_params, 2 * num_params))
+    fig, axes = plt.subplots(num_params, num_params, figsize=(11, 10))
     # i is row, j is column
     for i, row_param in enumerate(params):
         for j, col_param in enumerate(params):
             current_axes: Axes = axes[i][j]
+            current_axes.tick_params(which="both", labelsize="medium")
+            current_axes.xaxis.offsetText.set_fontsize("small")
+            current_axes.yaxis.offsetText.set_fontsize("small")
+
             if i == j:  # diagonal: histograms
                 plot_one_hist(results, param=row_param, smooth=smooth, axes=current_axes, **hist_kwargs)
             elif i > j:  # lower triangle: 2d histograms
@@ -687,10 +692,12 @@ def plot_corner(
             if i != len(params) - 1:
                 current_axes.get_xaxis().set_visible(False)
             # make labels invisible as titles cover that
+            current_axes.yaxis._update_offset_text_position = types.MethodType(
+                _y_update_offset_text_position, current_axes.yaxis
+            )
+            current_axes.yaxis.offset_text_position = "center"
             current_axes.set_ylabel("")
             current_axes.set_xlabel("")
-
-    fig.tight_layout()
     if return_fig:
         return fig
     plt.show(block=block)
@@ -776,7 +783,7 @@ def plot_one_hist(
         color="white",
     )
 
-    axes.set_title(fill(results.fitNames[param], 20))  # use `fill` to wrap long titles
+    axes.set_title(results.fitNames[param], loc="left", fontsize="medium")
 
     if estimated_density:
         dx = bins[1] - bins[0]
@@ -806,6 +813,47 @@ def plot_one_hist(
         plt.show(block=block)
 
 
+def _y_update_offset_text_position(axis, _bboxes, bboxes2):
+    """Update the position of the Y axis offset text using the provided bounding boxes.
+
+    Adapted from https://github.com/matplotlib/matplotlib/issues/4476#issuecomment-105627334.
+
+    Parameters
+    ----------
+    axis : matplotlib.axis.YAxis
+        Y axis to update.
+    _bboxes : List
+        list of bounding boxes
+    bboxes2 : List
+        list of bounding boxes
+    """
+    x, y = axis.offsetText.get_position()
+
+    if axis.offset_text_position == "left":
+        # y in axes coords, x in display coords
+        axis.offsetText.set_transform(
+            mtransforms.blended_transform_factory(axis.axes.transAxes, mtransforms.IdentityTransform())
+        )
+
+        top = axis.axes.bbox.ymax
+        y = top + axis.OFFSETTEXTPAD * axis.figure.dpi / 72.0
+
+    else:
+        # x & y in display coords
+        axis.offsetText.set_transform(mtransforms.IdentityTransform())
+
+        # Northwest of upper-right corner of right-hand extent of tick labels
+        if bboxes2:
+            bbox = mtransforms.Bbox.union(bboxes2)
+        else:
+            bbox = axis.axes.bbox
+        center = bbox.ymin + (bbox.ymax - bbox.ymin) / 2
+        x = bbox.xmin - axis.OFFSETTEXTPAD * axis.figure.dpi / 72.0
+        y = center
+    x_offset = 110
+    axis.offsetText.set_position((x - x_offset, y))
+
+
 @assert_bayesian("Contour")
 def plot_contour(
     results: RATapi.outputs.BayesResults,
@@ -899,7 +947,7 @@ def panel_plot_helper(plot_func: Callable, indices: list[int]) -> matplotlib.fig
     """
     nplots = len(indices)
     nrows, ncols = ceil(sqrt(nplots)), round(sqrt(nplots))
-    fig = plt.subplots(nrows, ncols, figsize=(2.5 * ncols, 2 * nrows))[0]
+    fig = plt.subplots(nrows, ncols, figsize=(11, 10))[0]
     axs = fig.get_axes()
 
     for plot_num, index in enumerate(indices):

tests/test_plotting.py

@@ -1,7 +1,6 @@
 import os
 import pickle
 from math import ceil, sqrt
-from textwrap import fill
 from unittest.mock import MagicMock, patch
 
 import matplotlib.pyplot as plt
@@ -293,7 +292,7 @@ def test_hist(dream_results, param, hist_settings, est_dens):
 
     # assert title is as expected
     # also tests string to index conversion
-    assert ax.get_title() == fill(dream_results.fitNames[param] if isinstance(param, int) else param, 20)
+    assert ax.get_title(loc="left") == dream_results.fitNames[param] if isinstance(param, int) else param
 
     # assert range is default, unless given
     # this tests non-default hist_settings propagates correctly
@@ -377,8 +376,10 @@ def test_corner(dream_results, params):
                 assert current_axes.get_xbound() == axes[-1][j].get_xbound()
             elif i == j:
                 # check title is correct
-                assert current_axes.get_title() == fill(
-                    dream_results.fitNames[params[i]] if isinstance(params[i], int) else params[i], 20
+                assert (
+                    current_axes.get_title(loc="left") == dream_results.fitNames[params[i]]
+                    if isinstance(params[i], int)
+                    else params[i]
                 )
 
     plt.close(fig)