diff --git a/src/sensospot_parser/__init__.py b/src/sensospot_parser/__init__.py
index 1ad604a..19fb897 100644
--- a/src/sensospot_parser/__init__.py
+++ b/src/sensospot_parser/__init__.py
@@ -3,10 +3,9 @@
 Parsing the numerical output from Sensovations Sensospot image analysis.
 """
 
-__version__ = "0.9.0"
+__version__ = "0.9.1"
 
 
-import sys
 from pathlib import Path
 
 import click
@@ -67,10 +66,10 @@ def _output(data, folder, outfile):
     outfile: the name of the outfile, '-' will output to stdout
     """
     if outfile.strip() == "-":
-        data.to_csv(sys.stdout, sep="\t")
+        click.echo(data.to_csv(None, sep="\t", index=False))
     else:
         csv_file = Path(folder) / outfile
-        data.to_csv(csv_file, sep="\t")
+        data.to_csv(csv_file, sep="\t", index=False)
 
 
 def _parse_one_folder(source, outfile, quiet):
diff --git a/src/sensospot_parser/parser.py b/src/sensospot_parser/parser.py
index 799afa5..73f0656 100644
--- a/src/sensospot_parser/parser.py
+++ b/src/sensospot_parser/parser.py
@@ -227,7 +227,6 @@ def parse_folder(folder: PathLike, quiet: bool = False) -> pandas.DataFrame:
         raise ValueError(f"No sensospot data found in folder '{folder}'")
     data_frame = add_measurement_parameters(data_frame, folder_path)
     data_frame = add_record_time(data_frame, folder_path)
-    print(data_frame)
     if quiet:
         return data_frame
     return _sanity_check(data_frame)
diff --git a/src/sensospot_parser/recordtime.py b/src/sensospot_parser/recordtime.py
index 7d7c721..6bda6c8 100644
--- a/src/sensospot_parser/recordtime.py
+++ b/src/sensospot_parser/recordtime.py
@@ -90,13 +90,9 @@ def add_record_time(
         the measurement data with parameters added
     """
     record_path = _search_records_file(folder)
-    print(f"PATH: {record_path}")
     if record_path is None:
-        print("assuming record path is None")
         measurement[columns.ANALYSIS_DATETIME] = numpy.NAN
         return measurement
 
     data_frame = _parse_records_file(record_path)
-    print(data_frame)
-    print(measurement[columns.ANALYSIS_IMAGE].iloc[0])
     return measurement.merge(data_frame, how="left", on=columns.ANALYSIS_IMAGE)