Tables Feature
- Added the `create_table` method, which returns a `Table` object. This can be used to display watchlists, order windows, position windows and more.
- See the new page on the docs for more information!
Bugs
- Fixed a bug preventing the named column of a line to not work as a label of the series.
- Fixed a bug causing drawings loaded from the minute timeframe to not show on a daily timeframe.
- Fixed a bug causing `chart.exit` to not work.
- Fixed a bug preventing the chart from being moved after placing a ray.
- Fixed the ‘price in hoveringOver’ web console error.
Enhancements
- The date/time column can also be the `name` of the passed series object.
- Added the `label` method to `HorizontalLine`, allowing for the price line label of horizontal lines to be updated.
- `None` or an empty DataFrame can now be passed to `line.set` as a means to clear it.
- Seperate Chart objects will now run on the same pywebview instance. This means that any Chart objects created after the first will inherit the first Chart’s API.
- Reorganized the documentation for clarity.
- Added `trend_line` and `ray_line` to the Common Methods.
- Added the `toolbox` parameter to chart declaration. This allows horizontal lines, trend lines and rays to be drawn on the chart using hotkeys and buttons.
- cmd-Z will delete the last drawing.
- Drawings can be moved by clicking and dragging.
- Added the `render_drawings` parameter to `set`, which will keep and re-render the drawings displayed on the chart (useful for multiple timeframes!)
Horizontal Lines
- The `horizontal_line` method now returns a HorizontalLine object, containing the methods `update` and `delete`.
- Added the `interactive` parameter to `horizontal_line`, allowing for callbacks to be emitted to the `on_horizontal_line_move` callback method when the line is dragged to a new price (stop losses, limit orders, etc.).
Enhancements:
- added the `precision` method to the Common Methods, allowing for the number of decimal places shown on the price scale to be declared.
- Lines displayed on legends now have toggle switches, allowing for their visibility to be controlled directly within the chart window.
- when using `set`, the column names can now be capitalised, and the `date` column can be the index.
Changes:
- Merged the `title` method into the `price_line` method.
- 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.
- Added the ChartAsync class, allowing for more sophisticated Charts and SubCharts.
- Symbol searching, timeframe selectors, and more is now possible with this varation of Chart.
`QtChart` and `WxChart` have access to all the methods that `ChartAsync` has, however they utilize their own respective event loops rather than asyncio.
New Feature: `StreamlitChart`
- Chart window that can display static data within a Streamlit application.
Removed the `subscribe_click` method.
