Log-scaled axes in paired scatterplots.

libhts/libhts.py

@@ -473,7 +473,7 @@ def plot_scatter(data,
                     x=x_column, y=y_column, s=1, c=group2colour[status],
                     label=f"{status} ({len(group)})", ax=ax)
         else:
-            # Apply a coulour to a list of genes
+            # Apply a colour to a list of genes
             (status, colour) = group2colour
             row_indices = data.index.intersection(grouping)
             try:
@@ -507,11 +507,15 @@ def plot_scatter(data,
             ax.set_ylim(y_range)
     return ax
 
-def plot_paired_scatters(data, columns=None, hue=None):
+def plot_paired_scatters(data, columns=None, hue=None, log_log=False):
     """Alternative to pairplot, in order to avoid histograms on the diagonal."""
     if columns is None:
         columns = data.columns
     g = sns.PairGrid(data, vars=columns, hue=hue, size=8)
     #g.map_offdiag(plt.scatter, marker=".")
     g.map_lower(plt.scatter, marker=".")
+    if log_log:
+        for ax in g.axes.ravel():
+            ax.set_xscale('log')
+            ax.set_yscale('log')
     g.add_legend()