Breaking Changes:
- Removed the `api` parameter; callbacks no longer need to be in a specific class.
- Topbar callbacks now take a chart as an argument (see updated callback examples)
- Removed the `topbar` parameter from chart declaration. The Topbar will be automatically created upon declaration of a topbar widget.
- Removed the `searchbox` parameter from charts. It will be created upon subscribing to it in `chart.events`.
- Removed `dynamic_loading`.
- Removed ‘volume_enabled’ parameter. Volume will be enabled if the volumn column is present in the dataframe.
- Widgets’ `func` parameter is now declared last.
- Switchers take a tuple of options rather than a variable number of arguments.
- `add_hotkey` renamed to `hotkey`
- Horizontal lines now take a `func` argument rather than `interactive`. This event will emit the Line object that was moved.
- Removed the `name` parameter from `line.set`. Line object names are now declared upon creation.
Enhancements:
- Added the `button` widget to the Topbar.
- Added the color picker to the drawing context menu.
- Charts now have a `candle_data` method, which returns the current data displayed on the chart as a DataFrame.
- Fixed callbacks are now located in the `chart.events` object:
- search (e.g `chart.events.search += on_search`)
- new_bar
- range_change
- Added volume to the legend
- Drawings can now be accessed through `chart.toolbox.drawings`
- added the `style` and `name` parameters to `create_line`
Bug Fixes:
- Fixed a bug causing new charts not to load after `exit` was called.
- Refactored rayline placement to ensure they do not move the visible range.
- Fixed a bug causing the visible range to shift when trendlines are moved past the final candlestick.
- Fixed a bug preventing trendlines and raylines on irregular timeframes.
- Fixed a bug causing the legend to prevent mouse input into the chart.
99 lines
2.7 KiB
Markdown
99 lines
2.7 KiB
Markdown
# Toolbox
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The Toolbox allows for trendlines, ray lines and horizontal lines to be drawn and edited directly on the chart.
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It can be used within any Chart object, and is enabled by setting the `toolbox` parameter to `True` upon Chart declaration.
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The following hotkeys can also be used when the Toolbox is enabled:
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* Alt+T: Trendline
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* Alt+H: Horizontal Line
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* Alt+R: Ray Line
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* Meta+Z or Ctrl+Z: Undo
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Right-clicking on a drawing will open a context menu, allowing for color selection and deletion.
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___
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## `save_drawings_under`
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`widget: Widget`
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Saves drawings under a specific `topbar` text widget. For example:
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```python
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chart.toolbox.save_drawings_under(chart.topbar['symbol'])
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```
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___
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## `load_drawings`
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`tag: str`
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Loads and displays drawings stored under the tag given.
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___
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## `import_drawings`
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`file_path: str`
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Imports the drawings stored at the JSON file given in `file_path`.
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___
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## `export_drawings`
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`file_path: str`
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Exports all currently saved drawings to the JSON file given in `file_path`.
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___
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## Example:
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To get started, create a file called `drawings.json`, which should only contain `{}`.
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```python
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import pandas as pd
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from lightweight_charts import Chart
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def get_bar_data(symbol, timeframe):
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if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
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print(f'No data for "{symbol}"')
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return pd.DataFrame()
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return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
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def on_search(chart, searched_string):
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new_data = get_bar_data(searched_string, chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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chart.topbar['symbol'].set(searched_string)
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chart.set(new_data)
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chart.toolbox.load_drawings(searched_string) # Loads the drawings saved under the symbol.
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def on_timeframe_selection(chart):
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new_data = get_bar_data(chart.topbar['symbol'].value, chart.topbar['timeframe'].value)
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if new_data.empty:
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return
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chart.set(new_data, render_drawings=True) # The symbol has not changed, so we want to re-render the drawings.
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if __name__ == '__main__':
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chart = Chart(toolbox=True)
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chart.legend(True)
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chart.events.search += on_search
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chart.topbar.textbox('symbol', 'TSLA')
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chart.topbar.switcher('timeframe', ('1min', '5min', '30min'), default='5min', func=on_timeframe_selection)
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df = get_bar_data('TSLA', '5min')
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chart.set(df)
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chart.toolbox.import_drawings('drawings.json') # Imports the drawings saved in the JSON file.
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chart.toolbox.load_drawings(chart.topbar['symbol'].value) # Loads the drawings under the default symbol.
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chart.toolbox.save_drawings_under(chart.topbar['symbol']) # Saves drawings based on the symbol.
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chart.show(block=True)
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chart.toolbox.export_drawings('drawings.json') # Exports the drawings to the JSON file upon close.
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```
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