Remove masked array compress for percentiles

When calculating precentiles of values (e.g. track density), the 2-d grid
was passed through ma.compress(), which resulted in a scalar value as
output for the percentile. This threw the PlotInterface.map methods when
trying to create a map of the percentile values.

Evaluate/genesisDensity.py

@@ -255,8 +255,7 @@ def _calculate(self, tracks):
 
         values = np.vstack([xx[ii], yy[ii]])
         kernel = gaussian_kde(values, bw_method=.1)
-        import pdb
-        #pdb.set_trace()
+
         Z = np.reshape(kernel(positions), self.X.shape)
         return Z.T
 
@@ -266,10 +265,8 @@ def calculateMeans(self):
         self.synHistMean = ma.mean(self.synHist, axis=0)
         self.medSynHist = ma.median(self.synHist, axis=0)
 
-        self.synHistUpper = percentile(ma.compressed(self.synHist),
-                                       per=95, axis=0)
-        self.synHistLower = percentile(ma.compressed(self.synHist),
-                                       per=5, axis=0)
+        self.synHistUpper = percentile(self.synHist, per=95, axis=0)
+        self.synHistLower = percentile(self.synHist, per=5, axis=0)
 
     @disableOnWorkers
     def historic(self):

Evaluate/pressureDistribution.py

@@ -14,8 +14,6 @@
 import sys
 import logging
 
-import pdb
-
 import numpy as np
 import numpy.ma as ma
 
@@ -252,10 +250,10 @@ def calculateMeans(self, synMean, synMin, synMed, synMax, synMinCP):
         self.synMin = ma.mean(synMin, axis=0)
         self.synMax = ma.mean(synMax, axis=0)
 
-        self.synMeanUpper = percentile(ma.compressed(synMean), per=95, axis=0)
-        self.synMeanLower = percentile(ma.compressed(synMean), per=5, axis=0)
-        self.synMinUpper = percentile(ma.compressed(synMin), per=95, axis=0)
-        self.synMinLower = percentile(ma.compressed(synMin), per=5, axis=0)
+        self.synMeanUpper = percentile(synMean, per=95, axis=0)
+        self.synMeanLower = percentile(synMean, per=5, axis=0)
+        self.synMinUpper = percentile(synMin, per=95, axis=0)
+        self.synMinLower = percentile(synMin, per=5, axis=0)
 
         self.synMinCPDist = np.mean(synMinCP, axis=0)
         self.synMinCPLower = percentile(synMinCP, per=5, axis=0)

Evaluate/trackDensity.py

@@ -199,10 +199,8 @@ def calculateMeans(self):
         self.synHistMean = ma.mean(self.synHist, axis=0)
         self.medSynHist = ma.median(self.synHist, axis=0)
 
-        self.synHistUpper = percentile(ma.compressed(self.synHist),
-                                       per=95, axis=0)
-        self.synHistLower = percentile(ma.compressed(self.synHist),
-                                       per=5, axis=0)
+        self.synHistUpper = percentile(self.synHist, per=95, axis=0)
+        self.synHistLower = percentile(self.synHist, per=5, axis=0)
 
     @disableOnWorkers
     def historic(self):