RC v.1.7.1

CHANGES.rst

@@ -1,4 +1,11 @@
 
+Release 1.7.1
+=========================================
+
+* **BUGFIX:** Fixed data collection roundtrip via ``.to_json()`` / ``.from_json()`` (#169).
+
+--------------------
+
 Release 1.7.0
 =========================================
 

highcharts_core/__version__.py

@@ -1 +1 @@
-__version__ = '1.7.0'
+__version__ = '1.7.1'

highcharts_core/options/series/data/base.py

@@ -704,6 +704,8 @@ def from_array(cls, value):
 
         if checkers.is_type(value, 'DataPointCollection'):
             return value
+        elif isinstance(value, dict) and 'dataPoints' in value:
+            return cls.from_list(value['dataPoints'])
 
         return cls.from_list(value)
 

tests/options/series/data/test_cartesian.py

@@ -1417,3 +1417,36 @@ def test_CartesianValueData_to_array(input_array, set_props, expected_type, expe
 
     if expected_type == list:
         assert results == expected
+
+
+def test_BugFix_forum192819():
+    from highcharts_core import highcharts
+    import pandas as pd
+    import numpy as np
+
+    dates = [
+        "30/04/2024",
+        "30/04/2024",
+        "26/04/2024",
+        "12/04/2024",
+        "31/03/2024",
+        "31/03/2024",
+        "29/03/2024",
+        "15/03/2024",
+        "05/03/2024",
+    ]
+    amounts = 100 + np.random.normal(loc=100, scale=10, size=len(dates))
+
+    df = pd.DataFrame([{"date": x, "amount": y} for x, y in zip(dates, amounts)])
+    df["date"] = pd.to_datetime(df["date"], format="%d/%m/%Y")
+    df["milliseconds"] = (df["date"] - pd.Timestamp("1970-01-01")) // pd.Timedelta("1ms")
+
+    my_chart = highcharts.Chart.from_pandas(
+        df, property_map={"x": "milliseconds", "y": "amount"}, series_type="line"
+    )
+
+    as_json = my_chart.to_json()
+    assert as_json is not None
+
+    my_new_chart = highcharts.Chart.from_json(as_json)
+    assert my_new_chart is not None