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changeset 33:55c7e49eea88 draft

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planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/fsd commit b8a2f7b7615b2bcd3b602027af31f4e677da94f6-dirty
author mheinzl
date Mon, 03 Jun 2019 07:02:48 -0400
parents 5e1450eda945
children faa56fbf6b32
files fsd.py
diffstat 1 files changed, 13 insertions(+), 8 deletions(-) [+]
line wrap: on
line diff
--- a/fsd.py	Mon Jun 03 06:58:20 2019 -0400
+++ b/fsd.py	Mon Jun 03 07:02:48 2019 -0400
@@ -343,24 +343,29 @@
                 #print(w)
                 # linewidth=1,
                 
-                print(numpy.sum(y))
-                print(float(numpy.sum(y)))
-                print(x)
-                new_y = numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y])))
-                print(new_y.shape)
-                new_y = numpy.array(new_y).reshape((len(new_y)))
-                print(new_y.shape)
-                print(new_y)
+                #print(numpy.sum(y))
+                #print(float(numpy.sum(y)))
+                #print(x)
+                #print(new_y.shape)
+                #new_y = numpy.array(new_y).reshape((len(new_y)))
+                #print(new_y.shape)
+                #print(new_y)
+                
+                
                 
                 #new_y_heights = [x[0] for x in new_y]
                 #print(new_y_heights)
                 #print(new_y.shape)
 
                 if to_plot[l] == "Relative frequencies":
+                    print("relative")
+                    new_y = list(numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y]))))
+                    
                     counts2_rel = ax.bar(x, new_y, align="edge", width=w,
                                          edgecolor="black", label=label[i], alpha=0.8, color=colors[i])
                     
                 else:
+                    y = list(y)
                     counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i],
                                      alpha=0.8, color=colors[i])
                 if i == len(list_to_plot2):