small correction to delete NaN in pd df

nutrimorph.py

@@ -652,7 +652,7 @@ if __name__ == '__main__':
                 concatenated_features_df = concatenated_features_df.append(features_df)
                 # If some rows (ie. somas0) have NaN, drop them
                 # -- due to best fitting ellipsoid algo (JTJ is singular due to convex hull being flat)
-                concatenated_features_df.dropna()
+                concatenated_features_df = concatenated_features_df.dropna(axis=0, how="any")
 
         # Save to .csv in the parent repository
         if save_csv is None: