update docs

README.md

@@ -22,12 +22,12 @@ ___
 ## Features
 1. Streamlined for live data, with methods for updating directly from tick data.
 2. Multi-pane charts using [Subcharts](https://lightweight-charts-python.readthedocs.io/en/latest/reference/abstract_chart.html#AbstractChart.create_subchart).
-3. The [Toolbox](https://lightweight-charts-python.readthedocs.io/en/latest/reference/toolbox.html), allowing for trendlines, rays and horizontal lines to be drawn directly onto charts.
+3. The [Toolbox](https://lightweight-charts-python.readthedocs.io/en/latest/reference/toolbox.html), allowing for trendlines, rectangles, rays and horizontal lines to be drawn directly onto charts.
 4. [Events](https://lightweight-charts-python.readthedocs.io/en/latest/tutorials/events.html) allowing for timeframe selectors (1min, 5min, 30min etc.), searching, hotkeys, and more.
 5. [Tables](https://lightweight-charts-python.readthedocs.io/en/latest/reference/tables.html) for watchlists, order entry, and trade management.
 6. Direct integration of market data through [Polygon.io's](https://polygon.io/?utm_source=affiliate&utm_campaign=pythonlwcharts) market data API.
 
-__Supports:__ Jupyter Notebooks, PyQt5, PySide6, wxPython, Streamlit, and asyncio.
+__Supports:__ Jupyter Notebooks, PyQt6, PyQt5, PySide6, wxPython, Streamlit, and asyncio.
 
 PartTimeLarry: [Interactive Brokers API and TradingView Charts in Python](https://www.youtube.com/watch?v=TlhDI3PforA)
 ___

docs/source/examples/gui_examples.md

@@ -1,7 +1,7 @@
 # Alternative GUI's
 
 
-## PyQt5 / PySide6
+## PyQt6 / PyQt5 / PySide6
 
 ```python
 import pandas as pd

docs/source/examples/toolbox.md

@@ -36,7 +36,7 @@ def on_timeframe_selection(chart):
     if new_data.empty:
         return
     # The symbol has not changed, so we want to re-render the drawings.
-    chart.set(new_data, render_drawings=True)  
+    chart.set(new_data, keep_drawings=True)
 
 
 if __name__ == '__main__':

docs/source/polygon.md

@@ -22,7 +22,7 @@ The `websockets` library is required when using live data.
 
 ```{important}
 When using live data and the standard `show` method, the `block` parameter __must__ be set to `True` in order for the data to congregate on the chart (`chart.show(block=True)`).
-If `show_async` is used with live data, `block` can be either value.
+`show_async` can also be used with live data.
 
 ```
 

docs/source/reference/abstract_chart.md

@@ -8,7 +8,7 @@ ___
 
 
 
-```{py:method} set(data: pd.DataFrame, render_drawings: bool = False)
+```{py:method} set(data: pd.DataFrame, keep_drawings: bool = False)
 Sets the initial data for the chart.
 
 
@@ -17,7 +17,7 @@ Columns should be named:
 
 Time can be given in the index rather than a column, and volume can be omitted if volume is not used. Column names are not case sensitive.
 
-If `render_drawings` is `True`, any drawings made using the `toolbox` will be redrawn with the new data. This is designed to be used when switching to a different timeframe of the same symbol.
+If `keep_drawings` is `True`, any drawings made using the `toolbox` will be redrawn with the new data. This is designed to be used when switching to a different timeframe of the same symbol.
 
 `None` can also be given, which will erase all candle and volume data displayed on the chart.
 ```
@@ -27,7 +27,7 @@ ___
 
 
 
-```{py:method} update(series: pd.Series, render_drawings: bool = False)
+```{py:method} update(series: pd.Series, keep_drawings: bool = False)
 Updates the chart data from a bar.
 
 Series labels should be akin to [`set`](#AbstractChart.set).

docs/source/reference/charts.md

@@ -45,7 +45,7 @@ ___
 
 
 
-```{py:method} show_async(block: bool)
+```{py:method} show_async()
 :async:
 
 Show the chart asynchronously.
@@ -85,7 +85,7 @@ ___
 
 The `QtChart` object allows the use of charts within a `QMainWindow` object, and has similar functionality to the `Chart` object for manipulating data, configuring and styling.
 
-Either the `PyQt5` or `PySide6` libraries will work with this chart.
+Either the `PyQt5`, `PyQt6` or `PySide6` libraries will work with this chart.
 
 Callbacks can be received through the Qt event loop.
 ___

docs/source/tutorials/events.md

@@ -101,7 +101,7 @@ async def update_clock(chart):
 async def main():
     chart = Chart()
     chart.topbar.textbox('clock')
-    await asyncio.gather(chart.show_async(block=True), update_clock(chart))
+    await asyncio.gather(chart.show_async(), update_clock(chart))
 
 
 if __name__ == '__main__':
@@ -130,7 +130,6 @@ async def data_loop(chart):
             return
         chart.update_from_tick(ticks.iloc[i])
         await asyncio.sleep(0.03)
-        i += 1
         
         
 def on_new_bar(chart):
@@ -150,7 +149,7 @@ async def main():
     df = pd.read_csv('ohlc.csv')
     
     chart.set(df)
-    await asyncio.gather(chart.show_async(block=True), data_loop(chart))
+    await asyncio.gather(chart.show_async(), data_loop(chart))
     
 
 if __name__ == '__main__':