diff --git a/pandas_ods_reader/tests/test_read_ods.py b/pandas_ods_reader/tests/test_read_ods.py
index cbe4f51..c551bb5 100644
--- a/pandas_ods_reader/tests/test_read_ods.py
+++ b/pandas_ods_reader/tests/test_read_ods.py
@@ -1,4 +1,5 @@
-import os
+"""Tests for core read_ods function with different files"""
+from pathlib import Path
 
 import pandas as pd
 import pytest
@@ -6,8 +7,8 @@ import pytest
 from pandas_ods_reader import read_ods
 
 
-root = os.path.dirname(os.path.abspath(__file__))
-rsc = os.path.join(root, "rsc")
+root = Path(__file__).parent
+rsc = root / "rsc"
 
 header_file = "example_headers.ods"
 no_header_file = "example_no_headers.ods"
@@ -18,81 +19,105 @@ mixed_dtypes_file = "mixed_dtypes.ods"
 
 
 class TestOdsReader(object):
+
     def test_header_file_with_int(self):
-        path = os.path.join(rsc, header_file)
+
+        path = rsc / header_file
         df = read_ods(path, 1)
+
         assert isinstance(df, pd.DataFrame)
         assert len(df) == 10
         assert (len(df.columns) == 5)
 
     def test_header_file_with_str(self):
-        path = os.path.join(rsc, header_file)
+
+        path = rsc / header_file
         df = read_ods(path, "Sheet1")
+
         assert isinstance(df, pd.DataFrame)
         assert len(df) == 10
         assert (len(df.columns) == 5)
 
     def test_header_file_with_cols(self):
-        path = os.path.join(rsc, header_file)
+
+        path = rsc / header_file
         columns = ["One", "Two", "Three", "Four", "Five"]
         df = read_ods(path, "Sheet1", columns=columns)
+
         assert list(df.columns) == columns
         assert len(df) == 10
         assert (len(df.columns) == 5)
 
     def test_no_header_file_no_cols(self):
-        path = os.path.join(rsc, no_header_file)
+
+        path = rsc / no_header_file
         df = read_ods(path, 1, headers=False)
+
         assert list(df.columns) == [
             f"column.{i}" for i in range(len(df.columns))]
         assert len(df) == 10
         assert (len(df.columns) == 5)
 
     def test_no_header_file_with_cols(self):
-        path = os.path.join(rsc, no_header_file)
+
+        path = rsc / no_header_file
         columns = ["A", "B", "C", "D", "E"]
         df = read_ods(path, 1, headers=False, columns=columns)
+
         assert list(df.columns) == columns
         assert len(df) == 10
 
     def test_duplicated_column_names(self):
-        path = os.path.join(rsc, duplicated_column_names_file)
+
+        path = rsc / duplicated_column_names_file
         df = read_ods(path, 1)
+
         assert isinstance(df, pd.DataFrame)
         assert len(df.columns) == 4
         assert "website.1" in df.columns
 
     def test_header_file_col_len(self):
-        path = os.path.join(rsc, col_len_file)
+
+        path = rsc / col_len_file
         df = read_ods(path, 1)
+
         assert isinstance(df, pd.DataFrame)
         assert len(df) == 10
         assert (len(df.columns) == 5)
 
     def test_wrong_id_type(self):
-        path = os.path.join(rsc, header_file)
+
+        path = rsc / header_file
+
         with pytest.raises(ValueError) as e_info:
             read_ods(path, 1.0)
             assert e_info.match("Sheet id has to be either `str` or `int`")
 
     def test_non_existent_sheet(self):
-        path = os.path.join(rsc, header_file)
+
+        path = rsc / header_file
         sheet_name = "No_Sheet"
+
         with pytest.raises(ValueError) as e_info:
             read_ods(path, sheet_name)
             assert e_info.match(f"There is no sheet named {sheet_name}")
 
     def test_missing_header(self):
-        path = os.path.join(rsc, missing_header_file)
+
+        path = rsc / missing_header_file
         df = read_ods(path, 1)
+
         assert isinstance(df, pd.DataFrame)
         assert len(df) == 10
         assert (len(df.columns) == 5)
+
         assert df.columns[2] == "unnamed.1"
 
     def test_mixed_dtypes(sefl):
-        path = os.path.join(rsc, mixed_dtypes_file)
+
+        path = rsc / mixed_dtypes_file
         df = read_ods(path, 1)
+
         assert isinstance(df, pd.DataFrame)
         assert len(df) == 10
         assert (len(df.columns) == 5)