diff --git a/data_prototype/containers.py b/data_prototype/containers.py
index b8593c7..140d440 100644
--- a/data_prototype/containers.py
+++ b/data_prototype/containers.py
@@ -218,7 +218,7 @@ def query(
         hash_key = hash((xmin, xmax))
         if hash_key in self._cache:
             return self._cache[hash_key], hash_key
-        # TODO this gives an artifict with high lw
+        # TODO this gives an artifact with high lw
         edges_in = []
         if dmin < xmin:
             edges_in.append(np.array([dmin]))
diff --git a/data_prototype/wrappers.py b/data_prototype/wrappers.py
index c8903d5..fac6e23 100644
--- a/data_prototype/wrappers.py
+++ b/data_prototype/wrappers.py
@@ -112,7 +112,7 @@ def _query_and_transform(self, renderer, *, xunits: List[str], yunits: List[str]
             # TODO find better way to placate mypy
             (int(round(bb_size[0])), int(round(bb_size[1]))),
             # TODO sort out how to spell the x/y scale
-            # TODO is scale enoguh?  What do we have to do about non-trivial projection?
+            # TODO is scale enough?  What do we have to do about non-trivial projection?
             xscale=None,
             yscale=None,
         )
@@ -131,7 +131,7 @@ def _query_and_transform(self, renderer, *, xunits: List[str], yunits: List[str]
 
         # doing the nu work here is nice because we can write it once, but we
         # really want to push this computation down a layer
-        # TODO sort out how this interaporates with the transform stack
+        # TODO sort out how this interoperates with the transform stack
         data = {k: self.nus.get(k, lambda x: x)(v) for k, v in data.items()}
         self._cache[cache_key] = data
         return data
diff --git a/examples/2Dfunc.py b/examples/2Dfunc.py
index 1368ab0..9c31a86 100644
--- a/examples/2Dfunc.py
+++ b/examples/2Dfunc.py
@@ -29,3 +29,4 @@
 ax.set_xlim(-5, 5)
 ax.set_ylim(-5, 5)
 fig.colorbar(im)
+plt.show()
diff --git a/setup.py b/setup.py
index f317230..acbb43c 100644
--- a/setup.py
+++ b/setup.py
@@ -37,7 +37,7 @@
     description="Experimental code for the upcoming Matplotlib data refactor.",
     long_description=readme,
     author="Thomas A Caswell",
-    author_email='tcaswll@gmail.com',
+    author_email='tcaswell@gmail.com',
     url='https://github.com/tacaswell/data_prototype',
     python_requires='>={}'.format('.'.join(str(n) for n in min_version)),
     packages=find_packages(exclude=['docs', 'tests']),