diff --git a/_docs/api/generate_analysis_documentation/generate_analysis_rst.py b/_docs/api/generate_analysis_documentation/generate_analysis_rst.py
index 49c66de43..c202f5151 100644
--- a/_docs/api/generate_analysis_documentation/generate_analysis_rst.py
+++ b/_docs/api/generate_analysis_documentation/generate_analysis_rst.py
@@ -62,45 +62,45 @@
 
 mapping = dict()
 for line in open("algorithm_mapping.csv"):
-	desc,alg = line[:-1].split(",")
-	mapping[desc] = alg
+    desc,alg = line[:-1].split(",")
+    mapping[desc] = alg
 
 print(header)
 
 for k in sorted_namespaces:
-	ns = k[0].upper()+k[1:]
-	print(ns+ " Descriptors")
-	print(">>>>>>>>>>>>>>>>>>>>\n\n")
-	for d in top[k].keys():
-		descriptor = k+"."+d
-		print(descriptor)
-		print("-------------------------")
-		print("\n::\n")
-		print(curl_str+k+"/"+d)
-		if mapping[descriptor] !="None":
-			print("\n**Essentia Algorithm**\n")
-			print(algorithm_doc_str+mapping[descriptor]+".html")
-		stats = top[k][d]
-		if descriptor in desc_exceptions: 
-			print("\n")
-			continue
-		if isinstance(stats, dict):
-			print("\n\n**Stats**::\n\n")
-			for s in stats.keys():
-				print("/"+s)
-
-			print("\n\n**Distribution in Freesound**\n")
-
-			if "mean" in stats.keys():
-				if  isinstance(stats['mean'], list):
-					for i in range(len(stats['mean'])):
-						img = image_str+descriptor+".mean.%03d"%i
-						print(img+".png")
-						print(height_str)
-				else:
-					print(image_str+descriptor+".mean.png")
-					print(height_str)
-		elif isinstance(stats, float) or isinstance(stats, int):
-			print(image_str+descriptor+".png")
-			print(height_str)
-		print("\n\n")
+    ns = k[0].upper()+k[1:]
+    print(ns+ " Descriptors")
+    print(">>>>>>>>>>>>>>>>>>>>\n\n")
+    for d in top[k].keys():
+        descriptor = k+"."+d
+        print(descriptor)
+        print("-------------------------")
+        print("\n::\n")
+        print(curl_str+k+"/"+d)
+        if mapping[descriptor] !="None":
+            print("\n**Essentia Algorithm**\n")
+            print(algorithm_doc_str+mapping[descriptor]+".html")
+        stats = top[k][d]
+        if descriptor in desc_exceptions: 
+            print("\n")
+            continue
+        if isinstance(stats, dict):
+            print("\n\n**Stats**::\n\n")
+            for s in stats.keys():
+                print("/"+s)
+
+            print("\n\n**Distribution in Freesound**\n")
+
+            if "mean" in stats.keys():
+                if  isinstance(stats['mean'], list):
+                    for i in range(len(stats['mean'])):
+                        img = image_str+descriptor+".mean.%03d"%i
+                        print(img+".png")
+                        print(height_str)
+                else:
+                    print(image_str+descriptor+".mean.png")
+                    print(height_str)
+        elif isinstance(stats, float) or isinstance(stats, int):
+            print(image_str+descriptor+".png")
+            print(height_str)
+        print("\n\n")
diff --git a/_docs/api/generate_analysis_documentation/generate_plots.py b/_docs/api/generate_analysis_documentation/generate_plots.py
index db5f88922..ffd2724c3 100644
--- a/_docs/api/generate_analysis_documentation/generate_plots.py
+++ b/_docs/api/generate_analysis_documentation/generate_plots.py
@@ -54,7 +54,7 @@ def plot_histogram(pool, label,  x_label_ticks = False):
 for descriptor_name in descriptor_names:
     region = ds.layout().descriptorLocation(descriptor_name)
     if region.lengthType() == gaia2.VariableLength or descriptor_name.split('.')[-1] in reject_stats:
-	continue
+        continue
 
     try:
         example_value = example_point.value(descriptor_name)