Version bump

DistrictDataLabs · May 4, 2017 · 097700e · 097700e
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diff --git a/docs/changelog.rst b/docs/changelog.rst
@@ -2,6 +2,40 @@
 Changelog
 =========
 
+Version 0.4
+-----------
+This release is the culmination of the Spring 2017 DDL Research Labs that focused on developing Yellowbrick as a community effort guided by a sprint/agile workflow. We added several more visualizers, did a lot of user testing and bug fixes, updated the documentation, and generally discovered how best to make Yellowbrick a friendly project to contribute to.
+
+Notable in this release is the inclusion of two new feature visualizers that use few, simple dimensions to visualize features against the target. The ``JointPlotVisualizer`` graphs a scatter plot of two dimensions in the data set and plots a best fit line across it. The ``ScatterVisualizer`` also uses two features, but also colors the graph by the target variable, adding a third dimension to the visualization.
+
+This release also adds support for clustering visualizations, namely the elbow method for selecting K, ``KElbowVisualizer`` and a visualization of cluster size and density using the ``SilhouetteVisualizer``. The release also adds support for regularization analysis using the ``AlphaSelection`` visualizer. Both the text and classification modules were also improved with the inclusion of the ``PosTagVisualizer`` and the ``ConfusionMatrix`` visualizer respectively.
+
+This release also added an Anaconda repository and distribution so that users can ``conda install`` yellowbrick. Even more notable, we got yellowbrick stickers! We've also updated the documentation to make it more friendly and a bit more visual; fixing the API rendering errors. All-in-all, this was a big release with a lot of contributions and we thank everyone that participated in the lab!
+
+* Tag: v0.4_
+* Deployed: Thursday, May 4, 2017
+* Contributors: Benjamin Bengfort, Rebecca Bilbro, Nathan Danielsen, Matt Andersen, Prema Roman, Neal Humphrey, Jason Keung, Bala Venkatesan, Paul Witt, Morgan Mendis, Tuuli Morril
+
+Changes:
+   - Part of speech tags visualizer -- ``PosTagVisualizer``.
+   - Alpha selection visualizer for regularized regression -- ``AlphaSelection``
+   - Confusion Matrix Visualizer -- ``ConfusionMatrix``
+   - Elbow method for selecting K vis -- ``KElbowVisualizer``
+   - Silhouette score cluster visualization -- ``SilhouetteVisualizer``
+   - Joint plot visualizer with best fit -- ``JointPlotVisualizer``
+   - Scatter visualization of features -- ``ScatterVisualizer``
+   - Added three more example datasets: mushroom, game, and bike share
+   - Contributor's documentation and style guide
+   - Maintainers listing and contacts
+   - Light/Dark background color selection utility
+   - Structured array detection utility
+   - Updated classification report to use colormesh
+   - Added anacondas packaging and distribution
+   - Refactoring of the regression, cluster, and classification modules
+   - Image based testing methodology
+   - Docstrings updated to a uniform style and rendering
+   - Submission of several more user studies
+
 Version 0.3.3
 -------------
 Intermediate sprint to demonstrate prototype implementations of text visualizers for NLP models. Primary contributions were the ``FreqDistVisualizer`` and the ``TSNEVisualizer``.
@@ -131,6 +165,7 @@ Created the yellowbrick library MVP with two primary operations: a classificatio
    - Stub tests/stub documentation
 
 
+.. _v0.4: https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.4
 .. _v0.3.3: https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.3.3
 .. _v0.3.2: https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.3.2
 .. _v0.3.1: https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.3.1a2

diff --git a/tests/__init__.py b/tests/__init__.py
@@ -28,7 +28,7 @@
 ## Test Constants
 ##########################################################################
 
-EXPECTED_VERSION = "0.3.3"
+EXPECTED_VERSION = "0.4"
 
 
 ##########################################################################

diff --git a/yellowbrick/features/jointplot.py b/yellowbrick/features/jointplot.py
@@ -174,11 +174,12 @@ def fit(self, X, y, **kwargs):
         #throw an error if X has more than 1 column
         if is_dataframe(X):
             nrows, ncols = X.shape
-        if ncols > 1:
-            raise YellowbrickValueError((
-                "X needs to be an ndarray or DataFrame with one feature, "
-                "please select one feature from the DataFrame"
-            ))
+
+            if ncols > 1:
+                raise YellowbrickValueError((
+                    "X needs to be an ndarray or DataFrame with one feature, "
+                    "please select one feature from the DataFrame"
+                ))
 
         #throw an error is y is None
         if y is None:

diff --git a/yellowbrick/version.py b/yellowbrick/version.py
@@ -19,8 +19,8 @@
 
 __version_info__ = {
     'major': 0,
-    'minor': 3,
-    'micro': 3,
+    'minor': 4,
+    'micro': 0,
     'releaselevel': 'alpha',
     'serial': 3,
 }