# HG changeset patch
# User mheinzl
# Date 1559561497 14400
# Node ID 28fb192858ea21300e2c2f7a472cfc2aa5e1002b
# Parent  67e34fc2b67a685faa1fcbec5f37b228a61788d7
planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/fsd commit b8a2f7b7615b2bcd3b602027af31f4e677da94f6-dirty

diff -r 67e34fc2b67a -r 28fb192858ea fsd.py
--- a/fsd.py	Mon Jun 03 07:26:01 2019 -0400
+++ b/fsd.py	Mon Jun 03 07:31:37 2019 -0400
@@ -282,9 +282,9 @@
                 ticks1[len(ticks1) - 1] = ">20"
 
             if to_plot[l] == "Relative frequencies":
-                counts_rel = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.8, rwidth=0.8, density=True, color=colors)
+                counts_rel = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.6, rwidth=0.8, density=True, color=colors)
             else:
-                counts = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.8, rwidth=0.8, color=colors)
+                counts = ax.hist(list_to_plot2, bins=numpy.arange(minimumX, maximumX + 2), stacked=False, edgecolor="black", linewidth=1, label=label, align="left", alpha=0.6, rwidth=0.8, color=colors)
                 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1))
 
             ax.set_xticks(numpy.array(ticks))
@@ -336,37 +336,16 @@
                 else:
                     x = [xi + barWidth for xi in x]
                     w = 1./(len(list_to_plot) + 1)
-                
-                
-                #print(label[i])
-                #print(colors[i])
-                #print(w)
-                # 
-                
-                #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],linewidth=1, alpha=0.8, color=colors[i])
+                                         edgecolor="black", label=label[i],linewidth=1, alpha=0.6, color=colors[i])
                     
                 else:
                     y = list(y.reshape((len(y))))
                     counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1,
-                                     alpha=0.8, color=colors[i])
+                                     alpha=0.6, color=colors[i])
                 if i == len(list_to_plot2):
                     barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1)
                 else: