diff --git a/.gitignore b/.gitignore
index fdfa7c87..39a2f22d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,5 @@
+test_autocti/model/files/tracer.json
+
 .idea
 .cache
 .pytest_cache
diff --git a/autocti/dataset_1d/dataset_1d/dataset_1d.py b/autocti/dataset_1d/dataset_1d/dataset_1d.py
index fbac8384..c819baa8 100644
--- a/autocti/dataset_1d/dataset_1d/dataset_1d.py
+++ b/autocti/dataset_1d/dataset_1d/dataset_1d.py
@@ -161,7 +161,7 @@ def from_pixel_line_dict(
             and noise are embedded in Array1Ds of the same size as the array in
             the parallel direction
         """
-        serial_distance, _ = pixel_line_dict["location"]
+        serial_distance, _ = map(int, pixel_line_dict["location"])
 
         def make_array(data):
             array = np.zeros(size)
diff --git a/test_autocti/dataset_1d/test_parse_pixel_line.py b/test_autocti/dataset_1d/test_parse_pixel_line.py
index 9167cac0..01a67ee0 100644
--- a/test_autocti/dataset_1d/test_parse_pixel_line.py
+++ b/test_autocti/dataset_1d/test_parse_pixel_line.py
@@ -85,3 +85,75 @@ def test_layout(layout, size):
 def test_region(layout, pre_cti_data, flux):
     region, = layout.region_list
     assert pre_cti_data[region.slice] == flux
+
+
+def test_float_location():
+    pixel_line_dict = {
+        "location": [
+            13.0,
+            0
+        ],
+        "date": 2453963.758414352,
+        "background": 31.30540652532858,
+        "flux": 992.075,
+        "data": [
+            46.933043816970624,
+            46.3701649771964,
+            48.711080079945226,
+            48.11518701894584,
+            48.14361054867522,
+            48.00110239950205,
+            46.16310970820016,
+            47.16358109918174,
+            46.49024043290878,
+            46.863087745614244,
+            45.796840479854254,
+            45.55346051503446,
+            1309.4024294348244,
+            48.59285309531201,
+            46.63910977027298,
+            47.10570908449849,
+            48.99711399716423,
+            48.20789077340186,
+            47.29295786328075,
+            48.53875401695496,
+            48.920490584648604,
+            48.141066131134835,
+            47.34273778298907,
+            50.227607541836136,
+            47.744377164578616
+        ],
+        "noise": [
+            0.5256967407012534,
+            0.4280892624149115,
+            0.789855949552933,
+            0.6217203894640145,
+            0.5786548351791704,
+            0.5849704312132465,
+            0.4655796354315316,
+            0.520450891288638,
+            0.46729646303852607,
+            0.5451477925803473,
+            0.32636264608977256,
+            0.2349003033720228,
+            3.0453790917701253,
+            0.3580557547977746,
+            0.28042682627171855,
+            0.44804424425163564,
+            0.6752575443696331,
+            0.4971518347953273,
+            0.4332561468089131,
+            0.6849637230632679,
+            0.5805219047418141,
+            0.5610511215490508,
+            0.5220946749091355,
+            0.7818605598254397,
+            0.558755420934289
+        ]
+    }
+    size = 2068
+
+    Dataset1D.from_pixel_line_dict(
+        pixel_line_dict,
+        size=size,
+    )