- Moved ChartAsync’s methods into the Chart object.

- Removed ChartAsync.
- Added the `show_async` method to `Chart`.
- Refactored how the TopBar is used. The docs explain this in detail, but a basic rundown is:
    - `corner_text` and `create_switcher` are no longer methods. The `topbar` attribute of `chart` should be used instead.
    - switchers and textboxes, now created with `chart.topbar.textbox` and `chart.topbar.switcher` require a name to be passed to them, which is used to access its instance (e.g `chart.topbar[‘timeframe’]`)
    - If you have any questions about these changes, or potential enhancements, feel free to raise an issue and I will get back to you ASAP :)

- PtQt and Wx can now use either synchronous or asynchronous callback functions

- BETA: Support for Jupyter Notebooks

- Fixed a bug causing the ‘date’ column of DataFrames passed to `set`, `update`, and `update_from_tick` to be modified.

examples/6_async/async.py

@@ -1,56 +0,0 @@
-import asyncio
-import pandas as pd
-
-from lightweight_charts import ChartAsync
-
-
-def get_bar_data(symbol, timeframe):
-    return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
-
-
-class API:
-    def __init__(self):
-        self.chart = None  # Changes after each callback.
-        self.symbol = 'TSLA'
-        self.timeframe = '5min'
-
-    async def on_search(self, searched_string):  # Called when the user searches.
-        self.symbol = searched_string
-        new_data = await self.get_data()
-        if new_data.empty:
-            return
-        self.chart.set(new_data)
-        self.chart.corner_text(searched_string)
-
-    async def on_timeframe_selection(self, timeframe):  # Called when the user changes the timeframe.
-        self.timeframe = timeframe
-        new_data = await self.get_data()
-        if new_data.empty:
-            return
-        self.chart.set(new_data)
-
-    async def get_data(self):
-        if self.symbol not in ('AAPL', 'GOOGL', 'TSLA'):
-            print(f'No data for "{self.symbol}"')
-            return pd.DataFrame()
-        data = get_bar_data(self.symbol, self.timeframe)
-        return data
-
-
-async def main():
-    api = API()
-
-    chart = ChartAsync(api=api, debug=True)
-    chart.legend(True)
-
-    chart.create_switcher(api.on_timeframe_selection, '1min', '5min', '30min', default='5min')
-    chart.corner_text(api.symbol)
-
-    df = get_bar_data(api.symbol, api.timeframe)
-    chart.set(df)
-
-    await chart.show(block=True)
-
-
-if __name__ == '__main__':
-    asyncio.run(main())

examples/6_callbacks/callbacks.py

@@ -0,0 +1,48 @@
+import asyncio
+import pandas as pd
+
+from lightweight_charts import Chart
+
+
+def get_bar_data(symbol, timeframe):
+    if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
+        print(f'No data for "{symbol}"')
+        return pd.DataFrame()
+    return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
+
+
+class API:
+    def __init__(self):
+        self.chart = None  # Changes after each callback.
+
+    async def on_search(self, searched_string):  # Called when the user searches.
+        new_data = get_bar_data(searched_string, self.chart.topbar['timeframe'].value)
+        if new_data.empty:
+            return
+        self.chart.topbar['symbol'].set(searched_string)
+        self.chart.set(new_data)
+
+    async def on_timeframe_selection(self):  # Called when the user changes the timeframe.
+        new_data = get_bar_data(self.chart.topbar['symbol'].value, self.chart.topbar['timeframe'].value)
+        if new_data.empty:
+            return
+        self.chart.set(new_data)
+
+
+async def main():
+    api = API()
+
+    chart = Chart(api=api, topbar=True, searchbox=True)
+    chart.legend(True)
+
+    chart.topbar.textbox('symbol', 'TSLA')
+    chart.topbar.switcher('timeframe', api.on_timeframe_selection, '1min', '5min', '30min', default='5min')
+
+    df = get_bar_data('TSLA', '5min')
+    chart.set(df)
+
+    await chart.show_async(block=True)
+
+
+if __name__ == '__main__':
+    asyncio.run(main())