diff --git a/JAT/Jarkus_Analysis_Toolbox.py b/JAT/Jarkus_Analysis_Toolbox.py
index c33884b..c0a7270 100644
--- a/JAT/Jarkus_Analysis_Toolbox.py
+++ b/JAT/Jarkus_Analysis_Toolbox.py
@@ -565,12 +565,12 @@ def normalize_dimensions(self):
             # Retrieve normalization type that should be applied from the configuration file
             norm_type = self.config['user defined']['normalization']['type']
             if norm_type == 'mean':
-                for i, col in dimensions.iteritems():
+                for i, col in dimensions.items():
                     # Get the mean cross-shore location per transect and subtract that from the values of the variable for each transect
                     normalized.loc[:, i] = col - col.mean()
             elif norm_type == 'norm_year':
                 norm_year = self.config['user defined']['normalization'][' year']    
-                for i, col in dimensions.iteritems():
+                for i, col in dimensions.items():
                     # Get norm value for the cross-shore location in the norm year and subtract that from the values of the variable for each transect
                     normalized.loc[:, i] = col - col[norm_year]
             
diff --git a/setup.py b/setup.py
index 0974db1..dfedb31 100644
--- a/setup.py
+++ b/setup.py
@@ -14,16 +14,12 @@
     url="https://github.com/christavanijzendoorn/JAT.git",
     packages=setuptools.find_packages(),
 	install_requires=[
-		'numpy==1.17.2',
-		'pandas==0.25.1',
-		'netCDF4==1.4.1',
-		'scipy==1.3.1',
+		'numpy',
+		'pandas',
+		'netCDF4',
+		'scipy',
 		'matplotlib',
-		'cftime==1.0.3.4',
-		'joblib==0.13.2',
-		'pybeach',
-		'pyyaml==5.2',
-		'Pillow'],
+		'pyyaml',],
     classifiers=[
         "Programming Language :: Python :: 3",
         "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",