1.0.7

apscale_gui/__main__.py

@@ -25,7 +25,7 @@
 ##########################################################################################################################
 # update version here (will be displayed on the main layout)
 # Support for: u = ubuntu, w = windows, m = macintosh
-apscale_version = '1.0.6'
+apscale_version = '1.0.7'
 
 ## check for the latest version of TTT
 try:

apscale_gui/fastq_eestats.py

@@ -61,10 +61,20 @@ def fastq_eestats(file, folder, project = None):
     ## figure 2
     ## calculate the number of reads per base (i.e. length distriubution)
     n_recs = df['Recs'].values.tolist()[0]
-    len_dist_dict = {}
-    for i,j in df[['Pos', 'Recs']].values.tolist():
-        len_dist_dict[i] = n_recs - j
-        n_recs -= n_recs - j
+
+
+    if len(set(df['Recs'].values.tolist())) != 1:
+        ## if reads have different length, calculate the lenght distributions
+        len_dist_dict = {}
+        for i,j in df[['Pos', 'Recs']].values.tolist():
+            len_dist_dict[i] = n_recs - j
+            n_recs -= n_recs - j
+    else:
+        ## if all reads are the same length -> nothing to calculate
+        len_dist_dict = {}
+        for i,j in df[['Pos', 'Recs']].values.tolist():
+            len_dist_dict[i] = n_recs
+
     mean_ee = df['Mean_EE'].values.tolist()
     recs = df['Recs'].values.tolist()
     ee_1 = len(x_values)*[1]

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="apscale_gui",
-    version="1.0.6",
+    version="1.0.7",
     author="Till-Hendrik Macher",
     author_email="[email protected]",
     description="Advanced Pipeline for Simple yet Comprehensive AnaLysEs of DNA metabarcoding data - Graphical User Interface",
@@ -15,11 +15,12 @@
     packages=setuptools.find_packages(),
     license = 'MIT',
     install_requires = ['pySimpleGUI >= 4.15.2',
-                        'apscale >= 1.1.1',
+                        'apscale >= 1.2.0',
                         'demultiplexer >= 1.1.0',
                         'lastversion >= 1.3.3',
                         'boldigger >= 1.2.5',
                         'plotly >= 4.9.0',
+                        'kaleido >= 0.2.1',
                         'xlsxwriter >= 3.0.2'
                         ],
     include_package_data = True,