diff --git a/cellpy/cli.py b/cellpy/cli.py
index 49b586d2..caed43fa 100644
--- a/cellpy/cli.py
+++ b/cellpy/cli.py
@@ -1737,7 +1737,7 @@ def _new(
 
             else:
                 selected_project_dir = None
-                click.echo(f"Select another directory instead")
+                click.echo("Select another directory instead")
     CREATE_NEW_DIR = "Create new project..."
     if not selected_project_dir:
         project_dirs = [
@@ -1745,9 +1745,7 @@ def _new(
             for d in directory.iterdir()
             if d.is_dir() and not d.name.startswith(".")
         ]
-        print(f"project_dirs: {project_dirs}")
         project_dirs.insert(0, CREATE_NEW_DIR)
-        print(f"project_dirs: {project_dirs}")
 
         project_dir = cookiecutter.prompt.read_user_choice(
             "project folder", project_dirs
diff --git a/cellpy/utils/batch_tools/batch_journals.py b/cellpy/utils/batch_tools/batch_journals.py
index 6937383d..e1ca3b3f 100644
--- a/cellpy/utils/batch_tools/batch_journals.py
+++ b/cellpy/utils/batch_tools/batch_journals.py
@@ -219,7 +219,7 @@ def from_db(self, project=None, name=None, batch_col=None, dbreader_kwargs=None,
                 self.pages = self.engine(self.db_reader, batch_name=name, **kwargs)
 
             if self.pages.empty:
-                logging.critical(f"EMPTY JOURNAL: are you sure you have provided correct input to batch?")
+                logging.critical("EMPTY JOURNAL: are you sure you have provided correct input to batch?")
                 logging.critical(f"name: {name}")
                 logging.critical(f"project: {self.project}")
                 logging.critical(f"batch_col: {batch_col}")
diff --git a/cellpy/utils/collectors.py b/cellpy/utils/collectors.py
index ea806c32..47de400a 100644
--- a/cellpy/utils/collectors.py
+++ b/cellpy/utils/collectors.py
@@ -131,15 +131,15 @@ def generate_output_path(name, directory, serial_number=None):
     f = d / name
     return f
 
-def incremental_image_exporter_plotly(self, filename, timeout=IMAGE_TO_FILE_TIMEOUT, **kwargs):
+def incremental_image_exporter_plotly(figure, filename, timeout=IMAGE_TO_FILE_TIMEOUT, **kwargs):
     use_subprocess = kwargs.pop("use_subprocess", True)
     
     if not use_subprocess:
         print(f"saving image to {filename}")
-        self.figure.write_image(filename, **kwargs)
+        figure.write_image(filename, **kwargs)
         return
     p = Process(
-        target=self.figure.write_image,
+        target=figure.write_image,
         args=(filename,),
         name="save_plotly_image_to_file",
         kwargs=kwargs,
@@ -818,6 +818,8 @@ def save(self, serial_number=None, save_hdf5=True, save_image_files=True, to_csv
 
         if self._figure_valid():
             if save_image_files:
+                if to_image_files_kwargs is None:
+                    to_image_files_kwargs = {}
                 self.to_image_files(serial_number=serial_number, **to_image_files_kwargs)
 
     def _output_path(self, serial_number=None):
diff --git a/cellpy/utils/helpers.py b/cellpy/utils/helpers.py
index 10d09719..79de3f2a 100644
--- a/cellpy/utils/helpers.py
+++ b/cellpy/utils/helpers.py
@@ -1369,7 +1369,7 @@ def select_summary_based_on_rate(
     step_table = cell.data.steps
     
     if partition_by_cv:
-        summary = _partition_summary_based_on_cv_steps(cell.data.summary)
+        summary = _partition_summary_based_on_cv_steps(cell)
     else:
         summary = cell.data.summary
 
@@ -1380,7 +1380,7 @@ def select_summary_based_on_rate(
             summary.set_index(cycle_number_header, drop=True, inplace=True)
         else:
             print(f"{cycle_number_header} not set as index!")
-            print(f"Please, set the cycle index header as index before proceeding!")
+            print("Please, set the cycle index header as index before proceeding!")
             return summary
 
     if on:
@@ -1437,7 +1437,7 @@ def add_normalized_capacity(cell, norm_cycles=None, individual_normalization=Fal
     try:
         norm_val_charge = cell.data.summary.loc[norm_cycles, col_name_charge].mean()
     except KeyError as e:
-        print(f"Oh no! Are you sure these cycle indexes exist?")
+        print("Oh no! Are you sure these cycle indexes exist?")
         print(f"  norm_cycles: {norm_cycles}")
         print(f"  cycle indexes: {list(cell.data.summary.index)}")
         raise KeyError from e
diff --git a/cellpy/utils/plotutils.py b/cellpy/utils/plotutils.py
index 119ac8a7..a7f5692d 100644
--- a/cellpy/utils/plotutils.py
+++ b/cellpy/utils/plotutils.py
@@ -1782,6 +1782,8 @@ def _calculate_seaborn_plot_properties(number_of_rows, number_of_cols, plot_type
 
             if fullcell_standard_normalization_type is not False:
                 cum_loss_info_range = norm_range or [0.0, max(max_val_normalized_col, fullcell_standard_normalization_scaler)]
+            else:
+                cum_loss_info_range = norm_range or y_range
 
             cv_info = dict(
                 title="",
diff --git a/tests/test_ica.py b/tests/test_ica.py
index 4ba714d5..baacd2ab 100644
--- a/tests/test_ica.py
+++ b/tests/test_ica.py
@@ -179,7 +179,7 @@ def test_dqdv_multi_cycles_tidy(dataset):
     assert "voltage" in df_ica.columns
     assert "cycle" in df_ica.columns
     assert "dq" in df_ica.columns
-    assert df_ica.size == 26379
+    assert df_ica.size == 26667
 
 
 def test_dqdv_multi_cycles_wide(dataset):
@@ -189,7 +189,7 @@ def test_dqdv_multi_cycles_wide(dataset):
     assert cycles_available.issuperset(cycles_processed)
     assert "voltage" in df_ica.columns.get_level_values(1)
     assert "dq" in df_ica.columns.get_level_values(1)
-    assert df_ica.size == 37536
+    assert df_ica.size == 39744
 
 
 # TODO - aulv: this test should be un-commented when hist-method