quantlies line style

demo.py

@@ -18,12 +18,13 @@
 ndim, nsamples = 3, 50000
 
 # Generate some fake data.
-data1 = np.random.randn(ndim * 4 * nsamples / 5).reshape(
-    [4 * nsamples / 5, ndim]
+data1 = np.random.randn(int(ndim * 4 * nsamples / 5)).reshape(
+    [int(4 * nsamples / 5), ndim]
 )
+
 data2 = 4 * np.random.rand(ndim)[None, :] + np.random.randn(
-    ndim * nsamples / 5
-).reshape([nsamples / 5, ndim])
+    int(ndim * nsamples / 5)
+).reshape([int(nsamples / 5), ndim])
 data = np.vstack([data1, data2])
 
 # Plot it.
@@ -36,6 +37,7 @@
         r"$\Gamma \, [\mathrm{parsec}]$",
     ],
     quantiles=[0.16, 0.5, 0.84],
+    q_ls=["solid", "dashed", "dashdot"],
     show_titles=True,
     title_kwargs={"fontsize": 12},
 )

src/corner/core.py

@@ -49,6 +49,7 @@ def corner_impl(
     truth_color="#4682b4",
     scale_hist=False,
     quantiles=None,
+    q_ls=None,
     title_quantiles=None,
     verbose=False,
     fig=None,
@@ -243,8 +244,19 @@ def corner_impl(
         # Plot quantiles if wanted.
         if len(quantiles) > 0:
             qvalues = quantile(x, quantiles, weights=weights)
-            for q in qvalues:
-                ax.axvline(q, ls="dashed", color=color)
+            if q_ls is None or len(q_ls) == 0:
+                for q in qvalues:
+                    ax.axvline(q, ls="dashed", color=color)
+            else:
+                if len(q_ls) == len(quantiles):
+                    for q, ls in zip(qvalues, q_ls):
+                        ax.axvline(q, ls=ls, color=color)
+                elif len(q_ls) < len(quantiles):
+                    print(
+                        f"Not enough line styles given for quantiles, using {q_ls[0]} for all"
+                    )
+                    for q in qvalues:
+                        ax.axvline(q, ls=q_ls[0], color=color)
 
             if verbose:
                 print("Quantiles:")

src/corner/corner.py

@@ -37,6 +37,7 @@ def corner(
     truth_color="#4682b4",
     scale_hist=False,
     quantiles=None,
+    q_ls=None,
     verbose=False,
     fig=None,
     max_n_ticks=5,
@@ -180,7 +181,10 @@ def corner(
 
     quantiles : iterable
         A list of fractional quantiles to show on the 1-D histograms as
-        vertical dashed lines.
+        vertical dashed lines or depends on ``q_ls``.
+
+    q_ls : iterable
+        A list of matplotlib line style specifiers to be used for the quantiles.
 
     verbose : bool
         If true, print the values of the computed quantiles.
@@ -266,6 +270,7 @@ def corner(
             truth_color=truth_color,
             scale_hist=scale_hist,
             quantiles=quantiles,
+            q_ls=q_ls,
             verbose=verbose,
             fig=fig,
             max_n_ticks=max_n_ticks,