Cleanup and fix issue passing guide_kw=None

proplot/axes/plot.py

@@ -2929,10 +2929,10 @@ def parametric(self, x, y, c, *, interp=0, scalex=True, scaley=True, **kwargs):
 
         # Interpret color values
         # NOTE: This permits string label input for 'values'
-        c, colorbar_kw = inputs._meta_coords(c, which='')  # convert string labels
+        c, guide_kw = inputs._meta_coords(c, which='')  # convert string labels
         if c.size == 1 and y.size != 1:
             c = np.arange(y.size)  # convert dummy label for single color
-        guides._add_guide_kw('colorbar', kw, **colorbar_kw)
+        guides._add_guide_kw('colorbar', kw, **guide_kw)
         guides._add_guide_kw('colorbar', kw, locator=c)
 
         # Interpolate values to allow for smooth gradations between values or just

proplot/config.py

@@ -1411,7 +1411,6 @@ def context(self, *args, mode=0, file=None, **kwargs):
         >>> ax.format(ticklen=5, metalinewidth=2)
         """
         # Add input dictionaries
-        # WARNING: Critical to fully apply
         for arg in args:
             if not isinstance(arg, dict):
                 raise ValueError(f'Non-dictionary argument {arg!r}.')

proplot/internals/guides.py

@@ -28,8 +28,13 @@ def _add_guide_kw(name, kwargs, **opts):
     """
     # NOTE: Here we *do not* want to overwrite properties in dictionary. Indicates
     # e.g. default locator inferred from levels or default title inferred from metadata.
-    kwargs = kwargs.setdefault(f'{name}_kw', {})
-    _update_kw(kwargs, overwrite=False, **opts)
+    attr = f'{name}_kw'
+    if not opts:
+        return
+    if not kwargs.get(attr, None):
+        kwargs[attr] = {}  # permit e.g. colorbar_kw=None
+    guide_kw = kwargs[attr]
+    _update_kw(guide_kw, overwrite=False, **opts)
 
 
 def _cache_guide_kw(obj, name, kwargs):
@@ -57,11 +62,11 @@ def _flush_guide_kw(obj, name, kwargs):
     # colorbar() because locator or formatter axis would get reset. Old solution was
     # to delete the _guide_kw but that destroyed default behavior. New solution is
     # to keep _guide_kw but have constructor functions return shallow copies.
-    opts = getattr(obj, f'_{name}_kw', None)
-    if opts:
-        _update_kw(kwargs, overwrite=False, **opts)
+    guide_kw = getattr(obj, f'_{name}_kw', None)
+    if guide_kw:
+        _update_kw(kwargs, overwrite=False, **guide_kw)
         for key in REMOVE_AFTER_FLUSH:
-            opts.pop(key, None)
+            guide_kw.pop(key, None)
     if isinstance(obj, (tuple, list, np.ndarray)):
         for member in obj:  # possibly iterate over matplotlib tuple/list subclasses
             _flush_guide_kw(member, name, kwargs)