diff --git a/dataloader.py b/dataloader.py
index 5438f4434bda6106a96a1dc518554405fc8a938d..6a1db562a0865a42e0734bc42ec9bf9045c44643 100644
--- a/dataloader.py
+++ b/dataloader.py
@@ -273,7 +273,7 @@ class dataloader:
             if bud_fluorescence:
                 # call postprocessor to add bud fluorescence to h5 files
                 self.include_bud_fluorescence(grouper, dataname)
-            print("signals available:")
+            print("Signals available:")
             for signal in grouper.available:
                 print(" ", signal)
             print()
@@ -308,7 +308,7 @@ class dataloader:
                 self.df = pd.merge(self.df, r_df, how="left")
             else:
                 self.df = r_df
-        print(f"\n data size is {self.df.shape}")
+        print(f"Data size is {self.df.shape}.")
         # define ids
         self.ids = list(self.df.id.unique())
         if not use_tsv:
@@ -325,13 +325,13 @@ class dataloader:
     ):
         """Load data from h5 files into one long data frame."""
         # load other signals
+        print("\nGetting data for other signals...")
         for i, sigpath in enumerate(self.g2a_dict):
             if (
                 sigpath in grouper.available
                 and not ("buddings" in sigpath or "bud_metric" in sigpath)
                 and sigpath != self.a2g_dict[key_index]
             ):
-                print(" " + sigpath)
                 record = grouper.concat_signal(
                     sigpath,
                     cutoff=0,
@@ -349,7 +349,7 @@ class dataloader:
                 # merge into one data set
                 # cell IDs not in r_df will be automatically dropped
                 r_df = pd.merge(r_df, tdf, how="left")
-        print("\n Loading bud data.")
+        print("Getting bud data...")
         # load and correct buddings and bud_volume
         b_df = self.load_bud_data(
             grouper=grouper,
@@ -370,6 +370,7 @@ class dataloader:
         experiment's duration.
         """
         key_index_path = self.a2g_dict[key_index]
+        print("Getting data for key index...")
         record = grouper.concat_signal(
             key_index_path, cutoff=cutoff, tmax_in_mins_dict=tmax_in_mins_dict
         )
@@ -383,6 +384,7 @@ class dataloader:
     def get_bud_indices(self, grouper, key_index):
         """Use key_index to get a multi-index for all buds."""
         key_index_path = self.a2g_dict[key_index]
+        print("Getting data to identify bud indices...")
         record = grouper.concat_signal(key_index_path, mode="raw_daughters")
         bud_indices = record.droplevel("mother_label").index
         return bud_indices