supporting quadratics

LHCfitNikhef · Dec 18, 2024 · 3ed6ead · 3ed6ead
1 parent c0715a8
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diff --git a/docs/source/report/running.md b/docs/source/report/running.md
@@ -168,6 +168,16 @@ fisher:
     figsize: [11, 15] # figure size
     title: true # if True display the fit label as title
 
+    plot:
+    summary_only: True # if True display only the fisher information per dataset group. If False will show the fine grained dataset per dataset
+    figsize: [11, 15] # figure size
+    title: true # if True display the fit label as title
+    column_names: # list of column names to be displayed, default is all
+      - group_1: "$\\rm group\\:1$"
+      - tt13: "$t\\bar{t}$"
+      - ...
+    together: ["fit_1", "fit_2"] # list of result IDs to be plotted together
+
 ```
 
 Finally the user has to specify two dictionaries where the informaions about

diff --git a/src/smefit/analyze/fisher.py b/src/smefit/analyze/fisher.py
@@ -553,6 +553,9 @@ def plot_heatmap(
             ]
         else:
             fisher_dfs = [fisher_df[latex_names.index.get_level_values(level=1)]]
+            quad_fisher_dfs = [
+                quad_fisher_df[latex_names.index.get_level_values(level=1)]
+            ]
 
         # reshuffle column name ordering
         if column_names is not None:
@@ -587,24 +590,26 @@ def plot_heatmap(
             latex_names,
             x_labels,
         )
-        # ax.set_title(r"\rm Linear", fontsize=20, y=-0.08)
+        ax.set_title(r"\rm Linear", fontsize=20, y=-0.08)
         cax1 = make_axes_locatable(ax).append_axes("right", size="5%", pad=0.5)
         colour_bar = fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax1)
 
         if quad_fisher_df is not None:
             ax = fig.add_subplot(122)
-            cax = ax.matshow(quad_fisher_df.values.T, cmap=cmap, norm=norm)
-            self.plot_values(ax, [quad_fisher_df], cmap, norm)
+            self.plot_values(ax, quad_fisher_dfs, cmap, norm)
+
             self.set_ticks(
                 ax,
-                np.arange(quad_fisher_df.shape[1]),
-                np.arange(quad_fisher_df.shape[0]),
+                np.arange(quad_fisher_dfs[0].shape[1]),
+                np.arange(quad_fisher_dfs[0].shape[0]),
                 latex_names,
                 x_labels,
             )
             ax.set_title(r"\rm Quadratic", fontsize=20, y=-0.08)
-            cax1 = make_axes_locatable(ax).append_axes("right", size="10%", pad=0.1)
-            colour_bar = fig.colorbar(cax, cax=cax1)
+            cax1 = make_axes_locatable(ax).append_axes("right", size="5%", pad=0.5)
+            colour_bar = fig.colorbar(
+                mpl.cm.ScalarMappable(norm=norm, cmap=cmap), cax=cax1
+            )
 
         fig.subplots_adjust(top=0.9)