CHANGELOG

CHANGELOG.rst

@@ -7,6 +7,11 @@ History
 * Introduced :class:`frontier.frame.DataFrame` which extends numpy's `ndarray`,
   that will now be returned from :class:`frontier.frontier.Statplexer`'s API
   functions that return read in data.
+    * :func:`frontier.frame.DataFrame.transform` takes a dictionary mapping
+      labels to a lambda function that will be applied to the corresponding
+      column of values in the DataFrame.
+    * :func:`frontier.frame.DataFrame.add_observation` stacks a new observation
+      array to the DataFrame.
 * `_test_variance` function of the `Statplexer` will now test the range of variance
   magnitudes across each parameter of read in data, issuing a warning and producing
   a table if a magnitude difference greater than ±1 is discovered.

tests/test_frame.py

@@ -119,7 +119,15 @@ def test_transform(self):
                         # Check nothing was transformed
                         self.assertEquals(frame[i, j], transformed_frame[i, j])
 
+    def test_bad_transform(self):
+        # Initialise data frame with trivial data
+        data = np.zeros([ARBITRARY_ROWS, len(TEST_PARAMETERS)])
+        frame = DataFrame(data, TEST_PARAMETERS)
+        for i in range(0, ARBITRARY_ROWS):
+            for j in range(0, len(TEST_PARAMETERS)):
+                data[i, j] = (i+1)*(j+1)
 
+        self.assertRaises(Exception, frame.transform, { TEST_PARAMETERS[0]: "hoot" })
 
 if __name__ == '__main__':
     unittest.main()