diff --git a/python/lsst/analysis/tools/actions/plot/scatterplotWithTwoHists.py b/python/lsst/analysis/tools/actions/plot/scatterplotWithTwoHists.py
index 3b7480317..f371129d8 100644
--- a/python/lsst/analysis/tools/actions/plot/scatterplotWithTwoHists.py
+++ b/python/lsst/analysis/tools/actions/plot/scatterplotWithTwoHists.py
@@ -672,17 +672,17 @@ def _makeTopHistogram(
     ) -> None:
         # Top histogram
         topHist = figure.add_subplot(gs[0, :-1], sharex=ax)
+        x_min, x_max = ax.get_xlim()
+        bins = np.linspace(x_min, x_max, 100)
 
         if "all" in self.plotTypes:
             x_all = f"x{self._datatypes['all'].suffix_xy}"
             keys_notall = [x for x in self.plotTypes if x != "all"]
+            topHist.hist(x_all, bins=bins, color="grey", alpha=0.3, log=True, label=f"All ({len(x_all)})")
         else:
             x_all = np.concatenate([data[f"x{self._datatypes[key].suffix_xy}"] for key in self.plotTypes])
             keys_notall = self.plotTypes
 
-        x_min, x_max = ax.get_xlim()
-        bins = np.linspace(x_min, x_max, 100)
-        topHist.hist(x_all, bins=bins, color="grey", alpha=0.3, log=True, label=f"All ({len(x_all)})")
         for key in keys_notall:
             config_datatype = self._datatypes[key]
             vector = data[f"x{config_datatype.suffix_xy}"]
@@ -711,17 +711,17 @@ def _makeSideHistogram(
     ) -> None:
         # Side histogram
         sideHist = figure.add_subplot(gs[1:, -1], sharey=ax)
+        y_min, y_max = ax.get_ylim()
+        bins = np.linspace(y_min, y_max, 100)
 
         if "all" in self.plotTypes:
             y_all = f"y{self._datatypes['all'].suffix_xy}"
             keys_notall = [x for x in self.plotTypes if x != "all"]
+            sideHist.hist(y_all, bins=bins, color="grey", alpha=0.3, orientation="horizontal", log=True)
         else:
             y_all = np.concatenate([data[f"y{self._datatypes[key].suffix_xy}"] for key in self.plotTypes])
             keys_notall = self.plotTypes
 
-        y_min, y_max = ax.get_ylim()
-        bins = np.linspace(y_min, y_max, 100)
-        sideHist.hist(y_all, bins=bins, color="grey", alpha=0.3, orientation="horizontal", log=True)
         kwargs_hist = dict(
             bins=bins,
             histtype="step",