Increase coverage to 85% with targeted tests

ultraplot/colors.py

@@ -2934,8 +2934,14 @@ def _translate_cmap(cmap, lut=None, cyclic=None, listedthresh=None):
     # WARNING: Apply default 'cyclic' property to native matplotlib colormaps
     # based on known names. Maybe slightly dangerous but cleanest approach
     lut = _not_none(lut, rc["image.lut"])
-    cyclic = _not_none(cyclic, cmap.name and cmap.name.lower() in CMAPS_CYCLIC)
+    name = getattr(cmap, "name", None)
+    cyclic = _not_none(cyclic, name and name.lower() in CMAPS_CYCLIC)
     listedthresh = _not_none(listedthresh, rc["cmap.listedthresh"])
+    if not isinstance(cmap, mcolors.Colormap):
+        raise ValueError(
+            f"Invalid colormap type {type(cmap).__name__!r}. "
+            "Must be instance of matplotlib.colors.Colormap."
+        )
 
     # Translate the colormap
     # WARNING: Here we ignore 'N' in order to respect ultraplotrc lut sizes
@@ -2957,12 +2963,6 @@ def _translate_cmap(cmap, lut=None, cyclic=None, listedthresh=None):
             cmap = DiscreteColormap(colors, name)
     elif isinstance(cmap, mcolors.Colormap):  # base class
         pass
-    else:
-        raise ValueError(
-            f"Invalid colormap type {type(cmap).__name__!r}. "
-            "Must be instance of matplotlib.colors.Colormap."
-        )
-
     # Apply hidden settings
     cmap._rgba_bad = bad
     cmap._rgba_under = under

ultraplot/internals/rcsetup.py

@@ -356,7 +356,7 @@ def _validate_color(value, alternative=None):
 def _validate_bool_or_iterable(value):
     if isinstance(value, bool):
         return _validate_bool(value)
-    elif np.isiterable(value):
+    elif np.iterable(value):
         return value
     raise ValueError(f"{value!r} is not a valid bool or iterable of node labels.")
 
@@ -460,15 +460,15 @@ def _validate_float_or_iterable(value):
     try:
         return _validate_float(value)
     except Exception:
-        if np.isiterable(value) and not isinstance(value, (str, bytes)):
+        if np.iterable(value) and not isinstance(value, (str, bytes)):
             return tuple(_validate_float(item) for item in value)
     raise ValueError(f"{value!r} is not a valid float or iterable of floats.")
 
 
 def _validate_string_or_iterable(value):
     if isinstance(value, str):
         return _validate_string(value)
-    if np.isiterable(value) and not isinstance(value, (str, bytes)):
+    if np.iterable(value) and not isinstance(value, (str, bytes)):
         values = tuple(value)
         if all(isinstance(item, str) for item in values):
             return values
@@ -601,6 +601,8 @@ def _yaml_table(rcdict, comment=True, description=False):
 
     # Generate string
     string = ""
+    if not data:
+        return string
     keylen = len(max(rcdict, key=len))
     vallen = len(max((tup[1] for tup in data), key=len))
     for key, value, descrip in data:

ultraplot/proj.py

@@ -81,7 +81,7 @@ def __init__(
                 f"The {self.name!r} projection does not handle elliptical globes."
             )
 
-        proj4_params = {"proj": "aitoff", "lon_0": central_longitude}
+        proj4_params = [("proj", "aitoff"), ("lon_0", central_longitude)]
         super().__init__(
             proj4_params,
             central_longitude,
@@ -126,7 +126,7 @@ def __init__(
                 f"The {self.name!r} projection does not handle elliptical globes."
             )
 
-        proj4_params = {"proj": "hammer", "lon_0": central_longitude}
+        proj4_params = [("proj", "hammer"), ("lon_0", central_longitude)]
         super().__init__(
             proj4_params,
             central_longitude,
@@ -172,7 +172,7 @@ def __init__(
                 f"The {self.name!r} projection does not handle elliptical globes."
             )
 
-        proj4_params = {"proj": "kav7", "lon_0": central_longitude}
+        proj4_params = [("proj", "kav7"), ("lon_0", central_longitude)]
         super().__init__(
             proj4_params,
             central_longitude,
@@ -218,7 +218,7 @@ def __init__(
                 f"The {self.name!r} projection does not handle " "elliptical globes."
             )
 
-        proj4_params = {"proj": "wintri", "lon_0": central_longitude}
+        proj4_params = [("proj", "wintri"), ("lon_0", central_longitude)]
         super().__init__(
             proj4_params,
             central_longitude,

ultraplot/scale.py

@@ -686,7 +686,7 @@ def inverted(self):
 
     def transform_non_affine(self, a):
         with np.errstate(divide="ignore", invalid="ignore"):
-            return np.rad2deg(np.arctan2(1, np.sinh(a)))
+            return np.rad2deg(np.arctan(np.sinh(a)))
 
 
 class SineLatitudeScale(_Scale, mscale.ScaleBase):
@@ -853,7 +853,8 @@ def __init__(self, threshs, scales, zero_dists=None):
         with np.errstate(divide="ignore", invalid="ignore"):
             dists = np.concatenate((threshs[:1], dists / scales[:-1]))
             if zero_dists is not None:
-                dists[scales[:-1] == 0] = zero_dists
+                zero_idx = np.flatnonzero(scales[:-1] == 0) + 1
+                dists[zero_idx] = zero_dists
             self._dists = dists
 
     def inverted(self):