flake8 and imports

Makefile

@@ -14,6 +14,6 @@ help:
 test:
 	$(TEST_COMMAND)
 pep8:
-	flake8 gneiss setup.py --ignore E303,E731
+	flake8 gneiss setup.py --ignore E303,E731,E722
 
 all: pep8 test

gneiss/plot/_decompose.py

@@ -9,7 +9,7 @@
 import matplotlib.pyplot as plt
 import pandas as pd
 from gneiss.util import NUMERATOR, DENOMINATOR
-import warning
+import warnings
 
 
 def balance_boxplot(balance_name, data, num_color='#FFFFFF',

gneiss/plot/_heatmap.py

@@ -11,6 +11,7 @@
 import pandas as pd
 from gneiss.plot._dendrogram import SquareDendrogram
 from gneiss.util import match_tips, NUMERATOR, DENOMINATOR
+import warnings
 
 
 def heatmap(table, tree, mdvar, highlights=None, cmap='viridis',

gneiss/plot/_radial.py

@@ -7,10 +7,15 @@
 # ----------------------------------------------------------------------------
 import pandas as pd
 from gneiss.plot._dendrogram import UnrootedDendrogram
-from bokeh.models.glyphs import Circle, Segment
-from bokeh.models import ColumnDataSource, DataRange1d, Plot
-from bokeh.models import (HoverTool, BoxZoomTool, ResetTool,
-                          WheelZoomTool, SaveTool, PanTool)
+import warnings
+try:
+    from bokeh.models.glyphs import Circle, Segment
+    from bokeh.models import ColumnDataSource, DataRange1d, Plot
+    from bokeh.models import (HoverTool, BoxZoomTool, ResetTool,
+                              WheelZoomTool, SaveTool, PanTool)
+except:
+    warnings.warn("Bokeh isn't installed - "
+                  "the interactive visualizations won't work.")
 
 
 def radialplot(tree, node_color='node_color', node_size='node_size',

gneiss/plot/_regression_plot.py

@@ -15,6 +15,7 @@
 from gneiss.regression._mixedlm import LMEModel
 
 from statsmodels.sandbox.stats.multicomp import multipletests
+import warnings
 try:
     from bokeh.embed import file_html
     from bokeh.resources import CDN
@@ -25,7 +26,8 @@
                               FuncTickFormatter, FixedTicker)
     from bokeh.palettes import RdYlBu11 as palette
 except:
-    warnings.warn("Bokeh isn't installed - the interactive visualizations won't work.")
+    warnings.warn("Bokeh isn't installed - "
+                  "the interactive visualizations won't work.")
 
 
 def _projected_prediction(model, plot_width=400, plot_height=400):