fix: dont check bool dtype until after ndarray conversion

proplot/internals/inputs.py

@@ -130,15 +130,16 @@ def _to_numpy_array(data, strip_units=False):
         data = data.data  # support pint quantities that get unit-stripped later
     elif isinstance(data, (DataFrame, Series, Index)):
         data = data.values
-    if data.dtype == bool:
-        data = data.view(np.uint8)
     if Quantity is not ndarray and isinstance(data, Quantity):
         if strip_units:
             return np.atleast_1d(data.magnitude)
         else:
             return np.atleast_1d(data.magnitude) * data.units
     else:
-        return np.atleast_1d(data)  # natively preserves masked arrays
+        d = np.atleast_1d(data)  # natively preserves masked arrays
+        if d.dtype == bool:
+            d = d.view(np.uint8)
+        return d
 
 
 def _to_masked_array(data, *, copy=False):

proplot/tests/test_axes.py

@@ -0,0 +1,14 @@
+import pytest
+
+import numpy as np
+import proplot as pplt
+
+
+def test_axes_plot():
+    """Test axes plots work with lists or arrays"""
+    x = np.arange(10)
+    fig, ax = pplt.subplots()
+    ax.plot(x)
+    ax.plot(x, x)
+
+    ax.plot([1, 2, 3], [4, 5, 6])