diff --git a/test/test_mode_2d_statistics.py b/test/test_mode_2d_statistics.py
index 42143693..6315d2fb 100644
--- a/test/test_mode_2d_statistics.py
+++ b/test/test_mode_2d_statistics.py
@@ -1,3 +1,5 @@
+
+import os
 import pytest
 import numpy as np
 import pandas as pd
@@ -5,6 +7,9 @@
 import metcalcpy.util.mode_2d_ratio_statistics as m2rs
 import metcalcpy.util.mode_2d_arearat_statistics as m2as
 
+
+cwd = os.path.dirname(__file__)
+
 def prepare_data(obj_type = "2d"):
     """
     Prepare some data for testing mode ara rations.
@@ -12,7 +17,9 @@ def prepare_data(obj_type = "2d"):
     robust approach would be to use a real MODE export
     from METviewer.
     """
-    file_path = "test/data/ee_av_input.data"
+    os.environ['TEST_DIR'] = cwd
+
+    file_path = f"{cwd}/data/ee_av_input.data"
     df = pd.read_csv(file_path, sep="\t")
 
     df["object_type"] = obj_type