# HG changeset patch
# User mheinzl
# Date 1559560926 14400
# Node ID 54ba0ad1263f52e996a35690a6010a48b44e7308
# Parent  56ad50707dc8b65ccb34a56de180635bb5214fff
planemo upload for repository https://github.com/monikaheinzl/duplexanalysis_galaxy/tree/master/tools/fsd commit b8a2f7b7615b2bcd3b602027af31f4e677da94f6-dirty

diff -r 56ad50707dc8 -r 54ba0ad1263f fsd.py
--- a/fsd.py	Mon Jun 03 07:08:37 2019 -0400
+++ b/fsd.py	Mon Jun 03 07:22:06 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, normed=True)
+                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)
             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)
+                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)
                 ax.legend(loc='upper right', fontsize=14, frameon=True, bbox_to_anchor=(0.9, 1))
 
             ax.set_xticks(numpy.array(ticks))
@@ -341,7 +341,7 @@
                 #print(label[i])
                 #print(colors[i])
                 #print(w)
-                # linewidth=1,
+                # 
                 
                 #print(numpy.sum(y))
                 #print(float(numpy.sum(y)))
@@ -359,19 +359,15 @@
 
                 if to_plot[l] == "Relative frequencies":
                     print("relative")
-                    new_y = list(numpy.concatenate((numpy.array([yi / float(numpy.sum(y)) for yi in y]))))
+                    #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])
+                    counts2_rel = ax.bar(x, list(numpy.float_(y)) / numpy.sum(y), align="edge", width=w,
+                                         edgecolor="black", label=label[i],linewidth=1, alpha=0.8, color=colors[i])
                     
                 else:
-                    print("absolute")
-                    print(y.shape)
-                    #print(x.shape)
-                    print(y)
                     y = list(y.reshape((len(y))))
                     
-                    counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i],
+                    counts2 = ax.bar(x, y, align="edge", width=w, edgecolor="black", label=label[i], linewidth=1,
                                      alpha=0.8, color=colors[i])
                 if i == len(list_to_plot2):
                     barWidth += 1. / (len(list_to_plot) + 1) + 1. / (len(list_to_plot) + 1)