diff --git a/Scripts/cj_analysis.py b/Scripts/cj_analysis.py
index d56b63b5582ed5b74e1c17d9acbd55e345a48f43..46fac19614303fe99e5a5c21e6a47e2a1b07f461 100644
--- a/Scripts/cj_analysis.py
+++ b/Scripts/cj_analysis.py
@@ -178,6 +178,8 @@ def plot_inputs_type_ratio(mix_id: str, data: dict, initial_cj_index: int, ax, a
     :param analyze_values if true, then size of inputs is analyzed, otherwise only numbers
     :return:
     """
+    SM.print(f'plot_inputs_type_ratio(mix_id={mix_id}, analyze_values={analyze_values}, normalize_values={normalize_values})')
+
     coinjoins = data['coinjoins']
     sorted_cj_time = sort_coinjoins(coinjoins, SORT_COINJOINS_BY_RELATIVE_ORDER)
     #sorted_cj_time = sorted_cj_time[0:500]
@@ -219,13 +221,13 @@ def plot_inputs_type_ratio(mix_id: str, data: dict, initial_cj_index: int, ax, a
     for item in input_types_nums.keys():
         input_types_nums_normalized[item] = np.array(input_types_nums[item]) / total_values
 
-    SM.print(f'MIX_ENTER median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_ENTER.name]) * 100, 2)}%')
-    SM.print(f'MIX_REMIX median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX.name]) * 100, 2)}%')
+    SM.print(f'  MIX_ENTER median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_ENTER.name]) * 100, 2)}%')
+    SM.print(f'  MIX_REMIX median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX.name]) * 100, 2)}%')
     for range_val in BURN_TIME_RANGES:
         remix_name = f'{event_type.name}_{range_val[0]}'
-        print(f'{remix_name} median ratio: {round(np.median(input_types_nums_normalized[remix_name]) * 100, 2)}%')
-    SM.print(f'MIX_REMIX_FRIENDS median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX_FRIENDS.name]) * 100, 2)}%')
-    SM.print(f'MIX_REMIX_FRIENDS_WW1 median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX_FRIENDS_WW1.name]) * 100, 2)}%')
+        print(f'  {remix_name} median ratio: {round(np.median(input_types_nums_normalized[remix_name]) * 100, 2)}%')
+    SM.print(f'  MIX_REMIX_FRIENDS median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX_FRIENDS.name]) * 100, 2)}%')
+    SM.print(f'  MIX_REMIX_FRIENDS_WW1 median ratio: {round(np.median(input_types_nums_normalized[MIX_EVENT_TYPE.MIX_REMIX_FRIENDS_WW1.name]) * 100, 2)}%')
 
     # Convert non-normalized values from sats to btc (for sats values only)
     if analyze_values: