cycle_wrapper bugfix with colors in lists/ndarrays

Author: lukelbd

docs/1dplots.ipynb

@@ -88,11 +88,13 @@
     "axs.format(suptitle='Automatic subplot formatting')\n",
     "\n",
     "# Plot DataArray\n",
-    "cycle = plot.Cycle(plot.shade('light blue', 0.4), fade=90, space='hpl')\n",
+    "color = plot.shade('light blue', 0.4)\n",
+    "cycle = plot.Cycle(color, fade=90, space='hpl')\n",
     "axs[0].plot(da, cycle=cycle, lw=3, colorbar='ul', colorbar_kw={'locator': 20})\n",
     "\n",
     "# Plot Dataframe\n",
-    "cycle = plot.Cycle(plot.shade('jade', 0.4), fade=90, space='hpl')\n",
+    "color = plot.shade('jade', 0.4)\n",
+    "cycle = plot.Cycle(color, fade=90, space='hpl')\n",
     "axs[1].plot(df, cycle=cycle, lw=3, legend='uc')"
    ]
   },

docs/2dplots.ipynb

@@ -95,7 +95,9 @@
     "axs[0].format(yreverse=True)\n",
     "\n",
     "# Plot DataFrame\n",
-    "axs[1].contourf(df, cmap='Blues', colorbar='r', linewidth=0.7, color='gray7')\n",
+    "axs[1].contourf(\n",
+    "    df, cmap='Blues', colorbar='r', linewidth=0.7, color='gray7'\n",
+    ")\n",
     "axs[1].format(xtickminor=False)"
    ]
   },

proplot/styletools.py

@@ -2355,8 +2355,7 @@ def Cycle(
                 )
             nprops = max(nprops, len(value))
             props[key] = [*value]  # ensure mutable list
-    # If args is non-empty, means we want color cycle; otherwise is always
-    # black
+    # If args is non-empty, means we want color cycle; otherwise is black
     if not args:
         props['color'] = ['k']  # ensures property cycler is non empty
         if kwargs:
@@ -2416,8 +2415,9 @@ def Cycle(
     # Build cycler, make sure lengths are the same
     for key, value in props.items():
         if len(value) < nprops:
-            value[:] = [value[i % len(value)] for i in range(
-                nprops)]  # make loop double back
+            value[:] = [
+                value[i % len(value)] for i in range(nprops)
+            ]  # make loop double back
     cycle = cycler.cycler(**props)
     cycle.name = name
     return cycle

proplot/wrappers.py

@@ -1525,6 +1525,8 @@ def cycle_changer(
             for key, value in prop.items():
                 if key not in by_key:
                     by_key[key] = {*()}  # set
+                if isinstance(value, (list, np.ndarray)):
+                    value = tuple(value)
                 by_key[key].add(value)
         # Reset property cycler if it differs
         reset = ({*by_key} != {*cycle.by_key()})  # reset if keys are different