TST: compatible with pandas 2.0 (#470)

Author: hongyeehh

examples/trackintel_basic_tutorial.ipynb

@@ -227,7 +227,8 @@
    "outputs": [],
    "source": [
     "# we concate sp and tpls to get the whole mobility trace\n",
-    "trace = sp.append(tpls)\n",
+    "trace = pd.concat([sp, tpls])\n",
+    "\n",
     "# calculate the overall tracking coverage\n",
     "ti.analysis.tracking_quality.temporal_tracking_quality(trace, granularity='all')"
    ]
@@ -332,7 +333,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.10.9"
   },
   "vscode": {
    "interpreter": {

tests/preprocessing/test_triplegs.py

@@ -226,7 +226,6 @@ def test_generate_trips_gap_detection(self):
             sep=";",
             index_col="id",
             parse_dates=[0, 1],
-            infer_datetime_format=True,
             dayfirst=True,
         )
         sp_in["geom"] = Point(1, 1)
@@ -238,7 +237,6 @@ def test_generate_trips_gap_detection(self):
             sep=";",
             index_col="id",
             parse_dates=[0, 1],
-            infer_datetime_format=True,
             dayfirst=True,
         )
         tpls_in["geom"] = LineString([[1, 1], [2, 2]])

tests/preprocessing/test_util.py

@@ -78,18 +78,18 @@ def test_list_column(self):
         agg_df = pd.DataFrame(agg)
         returned_df = _explode_agg("id", "c", orig_df, agg_df)
         solution_df = pd.DataFrame(orig)
+
         assert_frame_equal(returned_df, solution_df)
 
     def test_index_dtype_with_None(self):
         """Test if dtype of index isn't changed with None values."""
-        orig = [
-            {"a": 1, "c": 0},
-        ]
+        orig = [{"a": 1, "c": 0}]
         agg = [{"id": [0, 1], "c": 0}, {"id": [], "c": 1}]
         orig_df = pd.DataFrame(orig, columns=["a"])
         agg_df = pd.DataFrame(agg)
         returned_df = _explode_agg("id", "c", orig_df, agg_df)
         solution_df = pd.DataFrame(orig)
+
         assert_frame_equal(returned_df, solution_df)
 
 

trackintel/preprocessing/util.py

@@ -107,7 +107,11 @@ def _explode_agg(column, agg, orig_df, agg_df):
     temp = agg_df.explode(column)
     temp = temp[temp[column].notna()]
     temp.index = temp[column]
-    return orig_df.join(temp[agg], how="left")
+
+    return_df = orig_df.join(temp[agg], how="left")
+    # ensure index dtype the same as input
+    return_df.index = return_df.index.astype(orig_df.index.dtype)
+    return return_df
 
 
 def angle_centroid_multipoints(geometry):