diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 2da4538f..5d841ba9 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -123,8 +123,10 @@ def dataprep(rowdatadf):
     data = DataFrame(
 	dict(
 	    time = t2,
+	    timesecs = t,
 	    hr = hr,
 	    pace = p2,
+	    pseconds=p,
 	    spm = spm,
 	    cumdist = cumdist,
 	    ftime = niceformat(t2),
diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index 8de6985c..9797be53 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -624,53 +624,60 @@ def interactive_cum_flex_chart(theworkouts,promember=0,
     
 
     datadf = dataprep.dataprep(thedata)
-    #    thedata['driveenergy'] = thedata[' DriveLength (meters)']*thedata[' AverageDriveForce (lbs)']*4.44822
-    
 
-    # throw out zeros from dataframe
-    #thedata = thedata[thedata[csvcolumns[yparam1]] > 0] 
-    #thedata = thedata[thedata[csvcolumns[xparam]] > 0] 
-    datadf = datadf[datadf[yparam1] > 0] 
-    datadf = datadf[datadf[xparam] > 0] 
+    if yparam1 != 'pace' and yparam1 != 'time':
+	datadf = datadf[datadf[yparam1] > 0]
+    elif yparam1 == 'time':
+	datadf = datadf[datadf['timesecs'] >  0]
+    else:
+	datadf = datadf[datadf['pseconds']>0]
+	
+    if xparam != 'time' and xparam != 'pace':
+	datadf = datadf[datadf[xparam] > 0]
+    elif xparam == 'time':
+	datadf = datadf[datadf['timesecs']>0]
+    else:
+	datadf = datadf[datadf['pseconds']>0]
+	
     if yparam2 != 'None':
-	#thedata = thedata[thedata[csvcolumns[yparam2]] > 0]
-	datadf = datadf[thedata[yparam2] > 0]
+	datadf = datadf[datadf[yparam2] > 0]
 	
     # check if dataframe not empty
     if datadf.empty:
 	return ['','<p>No non-zero data in selection</p>','','']
 
  
-    x1 = datadf.ix[:,xparam]
+    datadf['x1'] = datadf.ix[:,xparam]
+    tseconds = datadf.ix[:,'timesecs']
+			
 
-    y1 = datadf.ix[:,yparam1]
+    datadf['y1'] = datadf.ix[:,yparam1]
     if yparam2 != 'None':
-	y2 = datadf.ix[:,yparam2]
+	datadf['y2'] = datadf.ix[:,yparam2]
     else:
-	y2 = y1
+	datadf['y2'] = datadf['y1']
 
 
     if xparam=='time':
-	xaxmax = x1.max()
-	xaxmin = x1.min()
+	xaxmax = tseconds.max()
+	xaxmin = tseconds.min()
 	xaxmax = 1.0e3*xaxmax
 	xaxmin = 1.0e3*xaxmin
-	x1 = x1.fillna(method='ffill').apply(lambda x: timedeltaconv(x))
     elif xparam=='distance':
-	xaxmax = x1.max()
-	xaxmin = x1.min()
+	xaxmax = datadf['x1'].max()
+	xaxmin = datadf['x1'].min()
     else:
 	xaxmax = yaxmaxima[xparam]
 	xaxmin = yaxminima[xparam]
 
     # average values
     if xparam != 'time':
-	x1mean = x1.mean()
+	x1mean = datadf['x1'].mean()
     else:
 	x1mean = 0
 	
-    y1mean = y1.mean()
-    y2mean = y2.mean()
+    y1mean = datadf['y1'].mean()
+    y2mean = datadf['y2'].mean()
 
     if xparam != 'time':
 	xvals = pd.Series(xaxmin+np.arange(100)*(xaxmax-xaxmin)/100.)
@@ -684,18 +691,16 @@ def interactive_cum_flex_chart(theworkouts,promember=0,
 
     if yparam1 == 'pace':
 	y_axis_type = 'datetime'
-	y1 = y1.fillna(method='ffill').apply(lambda x: timedeltaconv(x))
+	y1mean = datadf.ix[:,'pseconds'].mean()
 
 
-    time = datadf.ix[:,'time']
-    hr = datadf.ix[:,'hr']
-    pace = datadf.ix[:,'pace']
-    distance = datadf.ix[:,'distance']
-    power = datadf.ix[:,'power']
-    ftime = datadf.ix[:,'ftime']
-    fpace = datadf.ix[:,'fpace']
-    spm = datadf.ix[:,'spm']
+    source = ColumnDataSource(
+	datadf
+	)
 
+    source2 = ColumnDataSource(
+	datadf.copy()
+	)
 
     # Add hover to this comma-separated string and see what changes
     if (promember==1):
@@ -720,37 +725,7 @@ def interactive_cum_flex_chart(theworkouts,promember=0,
 
     plot.add_layout(y1means)
 
-    source = ColumnDataSource(
-	data = dict(
-	    x1=x1,
-	    y1=y1,
-	    y2=y2,
-	    time=ftime,
-	    pace=fpace,
-	    hr = hr,
-	    spm = spm,
-	    distance=distance,
-	    power=power,
-	    )
-	)
 
-
-    source2 = ColumnDataSource(
-	data = dict(
-	    x1=x1,
-	    y1=y1,
-	    y2=y2,
-	    time=ftime,
-	    pace=fpace,
-	    hr = hr,
-	    spm = spm,
-	    distance=distance,
-	    power=power,
-	    )
-	)
-
-
-    #    plot.circle('x1','y1',source=source,legend=yparam1,size=3)
     plot.circle('x1','y1',source=source2,fill_alpha=0.3,line_color=None,
 		 legend=yparamname1,
 		 )
@@ -900,7 +875,7 @@ def interactive_cum_flex_chart(theworkouts,promember=0,
 		title="Max SPM",callback=callback)
     callback.args["maxspm"] = slider_spm_max
     
-    distmax = 100+100*int(distance.max()/100.)
+    distmax = 100+100*int(datadf['distance'].max()/100.)
     
     slider_dist_min = Slider(start=0,end=distmax,value=0,step=1,
 			     title="Min Distance",callback=callback)
@@ -1070,7 +1045,7 @@ def interactive_flex_chart2(id=0,promember=0,
     # constant power plot
     if yparam1 == 'driveenergy':
 	if xparam == 'spm':
-	    yconstantpower = y1.median()*x1.median()/xvals
+	    yconstantpower = y1.mean()*x1.mean()/xvals
 	
     x_axis_type = 'linear'
     y_axis_type = 'linear'
diff --git a/rowers/tests.py b/rowers/tests.py
index 01d0da49..e0e5a797 100644
--- a/rowers/tests.py
+++ b/rowers/tests.py
@@ -793,10 +793,6 @@ class subroutinetests(TestCase):
 					duration="0:55:00",distance=8000,
 					csvfilename=filename)
 
-    def test_seconds(self):
-	seconds = [30.3,75.8,3900.3,104670.2]
-	res = iplots.get_datetimes(seconds)
-
 
     def c2stuff(self):
 	data = c2stuff.createc2workoutdata(self.w)
diff --git a/rowers/views.py b/rowers/views.py
index 2478d4f3..8de43357 100644
--- a/rowers/views.py
+++ b/rowers/views.py
@@ -1204,8 +1204,8 @@ def cum_flex(request,theuser=0,
 	     xparam='spm',
 	     yparam1='power',
 	     yparam2='None',
-	     startdate=timezone.now()-datetime.timedelta(days=30),
-	     enddate=timezone.now(),
+	     startdate=timezone.now()-datetime.timedelta(days=10),
+	     enddate=timezone.now()+datetime.timedelta(days=1),
 	     deltadays=-1,
 	     startdatestring="",
 	     enddatestring=""):