34ce3f7199
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.
887 lines
37 KiB
Python
887 lines
37 KiB
Python
import asyncio
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import json
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import os
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from datetime import timedelta, datetime
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from base64 import b64decode
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import pandas as pd
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from typing import Union, Literal, Dict, List
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from lightweight_charts.table import Table
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from lightweight_charts.util import LINE_STYLE, MARKER_POSITION, MARKER_SHAPE, CROSSHAIR_MODE, crosshair_mode, \
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line_style, jbool, price_scale_mode, PRICE_SCALE_MODE, marker_position, marker_shape, IDGen, Events
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JS = {}
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current_dir = os.path.dirname(os.path.abspath(__file__))
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for file in ('pkg', 'funcs', 'callback', 'toolbox', 'table'):
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with open(os.path.join(current_dir, 'js', f'{file}.js'), 'r', encoding='utf-8') as f:
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JS[file] = f.read()
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HTML = f"""
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<!DOCTYPE html>
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<html lang="">
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<head>
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<title>lightweight-charts-python</title>
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<script>{JS['pkg']}</script>
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<meta name="viewport" content ="width=device-width, initial-scale=1">
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<style>
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body {{
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margin: 0;
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padding: 0;
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overflow: hidden;
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen, Ubuntu, Cantarell, "Helvetica Neue", sans-serif;
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}}
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#wrapper {{
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width: 100vw;
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height: 100vh;
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background-color: #000000;
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}}
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</style>
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</head>
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<body>
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<div id="wrapper"></div>
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<script>
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{JS['funcs']}
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{JS['table']}
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</script>
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</body>
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</html>
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"""
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class SeriesCommon:
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def _set_interval(self, df: pd.DataFrame):
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if not pd.api.types.is_datetime64_any_dtype(df['time']):
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df['time'] = pd.to_datetime(df['time'])
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common_interval = df['time'].diff().value_counts()
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try:
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self._interval = common_interval.index[0]
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except IndexError:
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raise IndexError('Not enough bars within the given data to calculate the interval/timeframe.')
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self.run_script(f'''
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if ({self.id}.toolBox) {{
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{self.id}.toolBox.interval = {self._interval.total_seconds()*1000}
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}}
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''')
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@staticmethod
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def _rename(data, mapper, is_dataframe):
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if is_dataframe:
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data.columns = [mapper[key] if key in mapper else key for key in data.columns]
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else:
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data.index = [mapper[key] if key in mapper else key for key in data.index]
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def _df_datetime_format(self, df: pd.DataFrame, exclude_lowercase=None):
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df = df.copy()
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if 'date' not in df.columns and 'time' not in df.columns:
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df.columns = df.columns.str.lower()
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if exclude_lowercase:
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df[exclude_lowercase] = df[exclude_lowercase.lower()]
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if 'date' in df.columns:
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self._rename(df, {'date': 'time'}, True)
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elif 'time' not in df.columns:
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df['time'] = df.index
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self._set_interval(df)
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df['time'] = self._datetime_format(df['time'])
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return df
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def _series_datetime_format(self, series: pd.Series, exclude_lowercase=None):
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series = series.copy()
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if 'date' not in series.index and 'time' not in series.index:
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series.index = series.index.str.lower()
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if exclude_lowercase:
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self._rename(series, {exclude_lowercase.lower(): exclude_lowercase}, False)
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if 'date' in series.index:
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self._rename(series, {'date': 'time'}, False)
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elif 'time' not in series.index:
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series['time'] = series.name
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series['time'] = self._datetime_format(series['time'])
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return series
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def _datetime_format(self, arg: Union[pd.Series, str]):
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if not pd.api.types.is_datetime64_any_dtype(arg):
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arg = pd.to_datetime(arg)
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if self._interval < timedelta(days=1):
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if isinstance(arg, pd.Series):
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arg = arg.astype('int64') // 10 ** 9
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else:
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interval_seconds = self._interval.total_seconds()
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arg = interval_seconds * (arg.timestamp() // interval_seconds)
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else:
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arg = arg.dt.strftime('%Y-%m-%d') if isinstance(arg, pd.Series) else arg.strftime('%Y-%m-%d')
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return arg
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def marker(self, time: datetime = None, position: MARKER_POSITION = 'below', shape: MARKER_SHAPE = 'arrow_up',
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color: str = '#2196F3', text: str = '') -> str:
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"""
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Creates a new marker.\n
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:param time: The time that the marker will be placed at. If no time is given, it will be placed at the last bar.
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:param position: The position of the marker.
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:param color: The color of the marker (rgb, rgba or hex).
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:param shape: The shape of the marker.
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:param text: The text to be placed with the marker.
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:return: The id of the marker placed.
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"""
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try:
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time = self._last_bar['time'] if not time else self._datetime_format(time)
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except TypeError:
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raise TypeError('Chart marker created before data was set.')
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marker_id = self._rand.generate()
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self.run_script(f"""
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{self.id}.markers.push({{
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time: {time if isinstance(time, float) else f"'{time}'"},
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position: '{marker_position(position)}',
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color: '{color}',
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shape: '{marker_shape(shape)}',
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text: '{text}',
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id: '{marker_id}'
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}});
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{self.id}.series.setMarkers({self.id}.markers)""")
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return marker_id
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def remove_marker(self, marker_id: str):
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"""
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Removes the marker with the given id.\n
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"""
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self.run_script(f'''
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{self.id}.markers.forEach(function (marker) {{
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if ('{marker_id}' === marker.id) {{
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{self.id}.markers.splice({self.id}.markers.indexOf(marker), 1)
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{self.id}.series.setMarkers({self.id}.markers)
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}}
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}});''')
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def horizontal_line(self, price: Union[float, int], color: str = 'rgb(122, 146, 202)', width: int = 2,
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style: LINE_STYLE = 'solid', text: str = '', axis_label_visible: bool = True, func: callable = None) -> 'HorizontalLine':
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"""
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Creates a horizontal line at the given price.
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"""
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return HorizontalLine(self, price, color, width, style, text, axis_label_visible, func)
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def remove_horizontal_line(self, price: Union[float, int] = None):
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"""
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Removes a horizontal line at the given price.
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"""
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self.run_script(f'''
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{self.id}.horizontal_lines.forEach(function (line) {{
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if ({price} === line.price) line.deleteLine()
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}})''')
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def clear_markers(self):
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"""
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Clears the markers displayed on the data.\n
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"""
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self.run_script(f'''{self.id}.markers = []; {self.id}.series.setMarkers([])''')
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def clear_horizontal_lines(self):
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"""
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Clears the horizontal lines displayed on the data.\n
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"""
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self.run_script(f'''
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{self.id}.horizontal_lines.forEach(function (line) {{{self.id}.series.removePriceLine(line.line);}});
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{self.id}.horizontal_lines = [];
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''')
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def price_line(self, label_visible: bool = True, line_visible: bool = True, title: str = ''):
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self.run_script(f'''
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{self.id}.series.applyOptions({{
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lastValueVisible: {jbool(label_visible)},
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priceLineVisible: {jbool(line_visible)},
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title: '{title}',
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}})''')
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def precision(self, precision: int):
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"""
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Sets the precision and minMove.\n
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:param precision: The number of decimal places.
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"""
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self.run_script(f'''
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{self.id}.precision = {precision}
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{self.id}.series.applyOptions({{
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priceFormat: {{precision: {precision}, minMove: {1 / (10 ** precision)}}}
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}})''')
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def hide_data(self): self._toggle_data(False)
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def show_data(self): self._toggle_data(True)
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def _toggle_data(self, arg):
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self.run_script(f'''
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{self.id}.series.applyOptions({{visible: {jbool(arg)}}})
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{f'{self.id}.volumeSeries.applyOptions({{visible: {jbool(arg)}}})' if hasattr(self, 'loaded') else ''}
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''')
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class HorizontalLine:
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def __init__(self, chart, price, color, width, style, text, axis_label_visible, func):
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self._chart = chart
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self.id = self._chart._rand.generate()
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self.price = price
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self._chart.run_script(f'''
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{self.id} = new HorizontalLine({self._chart.id}, '{self.id}', {price}, '{color}', {width}, {line_style(style)}, {jbool(axis_label_visible)}, '{text}')
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''')
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if not func: return
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def wrapper(p):
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self.price = p
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func(chart, self)
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chart._handlers[self.id] = wrapper
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self._chart.run_script(f'if ("toolBox" in {self._chart.id}) {self._chart.id}.toolBox.drawings.push({self.id})')
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def update(self, price):
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"""
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Moves the horizontal line to the given price.
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"""
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self._chart.run_script(f'{self.id}.updatePrice({price})')
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self.price = price
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def label(self, text: str):
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self._chart.run_script(f'{self.id}.updateLabel("{text}")')
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def delete(self):
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"""
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Irreversibly deletes the horizontal line.
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"""
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self._chart.run_script(f'{self.id}.deleteLine()')
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del self
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class Line(SeriesCommon):
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def __init__(self, chart, name, color, style, width, price_line, price_label, crosshair_marker=True):
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self.color = color
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self.name = name
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self._chart = chart
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self._rand = chart._rand
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self.id = self._rand.generate()
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self.run_script = self._chart.run_script
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self.run_script(f'''
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{self.id} = {{
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series: {self._chart.id}.chart.addLineSeries({{
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color: '{color}',
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lineStyle: {line_style(style)},
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lineWidth: {width},
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lastValueVisible: {jbool(price_label)},
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priceLineVisible: {jbool(price_line)},
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crosshairMarkerVisible: {jbool(crosshair_marker)},
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{"""autoscaleInfoProvider: () => ({
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priceRange: {
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minValue: 1_000_000_000,
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maxValue: 0,
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},
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}),""" if self._chart._scale_candles_only else ''}
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}}),
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markers: [],
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horizontal_lines: [],
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name: '{name}',
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color: '{color}',
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precision: 2,
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}}
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{self._chart.id}.lines.push({self.id})
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if ('legend' in {self._chart.id}) {{
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{self._chart.id}.legend.makeLines({self._chart.id})
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}}
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''')
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def set(self, data: pd.DataFrame):
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"""
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Sets the line data.\n
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:param data: If the name parameter is not used, the columns should be named: date/time, value.
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:param name: The column of the DataFrame to use as the line value. When used, the Line will be named after this column.
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"""
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if data.empty or data is None:
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self.run_script(f'{self.id}.series.setData([])')
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return
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df = self._df_datetime_format(data, exclude_lowercase=self.name)
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if self.name:
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if self.name not in data:
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raise NameError(f'No column named "{self.name}".')
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df = df.rename(columns={self.name: 'value'})
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self._last_bar = df.iloc[-1]
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self.run_script(f'{self.id}.series.setData({df.to_dict("records")})')
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def update(self, series: pd.Series):
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"""
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Updates the line data.\n
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:param series: labels: date/time, value
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"""
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series = self._series_datetime_format(series, exclude_lowercase=self.name)
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if self.name in series.index:
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series.rename({self.name: 'value'}, inplace=True)
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self._last_bar = series
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self.run_script(f'{self.id}.series.update({series.to_dict()})')
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def _set_trend(self, start_time, start_value, end_time, end_value, ray=False):
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def time_format(time_val):
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time_val = pd.to_datetime(time_val)
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time_val = time_val.timestamp() if self._chart._interval < pd.Timedelta(days=1) else time_val.strftime('%Y-%m-%d')
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return f"'{time_val}'" if isinstance(time_val, str) else time_val
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self.run_script(f'''
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{self._chart.id}.chart.timeScale().applyOptions({{shiftVisibleRangeOnNewBar: false}})
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{self.id}.series.setData(calculateTrendLine({time_format(start_time)}, {start_value}, {time_format(end_time)}, {end_value},
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{self._chart._interval.total_seconds()*1000}, {self._chart.id}, {jbool(ray)}))
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{self._chart.id}.chart.timeScale().applyOptions({{shiftVisibleRangeOnNewBar: true}})
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''')
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def delete(self):
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"""
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Irreversibly deletes the line, as well as the object that contains the line.
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"""
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self._chart._lines.remove(self) if self in self._chart._lines else None
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self.run_script(f'''
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{self._chart.id}.chart.removeSeries({self.id}.series)
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delete {self.id}
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''')
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del self
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class Widget:
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def __init__(self, topbar, value, func=None):
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self._chart = topbar._chart
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self.id = topbar._chart._rand.generate()
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self.value = value
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self._handler = func
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def wrapper(v):
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self.value = v
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func(topbar._chart)
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async def async_wrapper(v):
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self.value = v
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await func(topbar._chart)
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self._chart._handlers[self.id] = async_wrapper if asyncio.iscoroutinefunction(func) else wrapper
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class TextWidget(Widget):
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def __init__(self, topbar, initial_text):
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super().__init__(topbar, value=initial_text)
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self._chart.run_script(f'{self.id} = {topbar.id}.makeTextBoxWidget("{initial_text}")')
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def set(self, string):
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self.value = string
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self._chart.run_script(f'{self.id}.innerText = "{string}"')
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class SwitcherWidget(Widget):
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def __init__(self, topbar, options, default, func):
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super().__init__(topbar, value=default, func=func)
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self._chart.run_script(f'''
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{self.id} = {topbar.id}.makeSwitcher({list(options)}, '{default}', '{self.id}')
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reSize({self._chart.id})
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''')
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class ButtonWidget(Widget):
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def __init__(self, topbar, button, separator, func):
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super().__init__(topbar, value=button, func=func)
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self._chart.run_script(f'''
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{self.id} = {topbar.id}.makeButton('{button}', '{self.id}')
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{f'{topbar.id}.makeSeparator()' if separator else ''}
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reSize({self._chart.id})
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''')
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def set(self, string):
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self.value = string
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self._chart.run_script(f'{self.id}.elem.innerText = "{string}"')
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class TopBar:
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def __init__(self, chart):
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self._chart = chart
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self.id = chart._rand.generate()
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self._widgets: Dict[str, Widget] = {}
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self.click_bg_color = '#50565E'
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self.hover_bg_color = '#3c434c'
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self.active_bg_color = 'rgba(0, 122, 255, 0.7)'
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self.active_text_color = '#ececed'
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self.text_color = '#d8d9db'
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self._created = False
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def _create(self):
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if self._created:
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return
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self._created = True
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if not self._chart._callbacks_enabled:
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self._chart._callbacks_enabled = True
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self._chart.run_script(JS['callback'])
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self._chart.run_script(f'''
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{self.id} = new TopBar({self._chart.id}, '{self.hover_bg_color}', '{self.click_bg_color}',
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'{self.active_bg_color}', '{self.text_color}', '{self.active_text_color}')
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{self._chart.id}.topBar = {self.id}.topBar
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reSize({self._chart.id})
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''')
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def __getitem__(self, item):
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if widget := self._widgets.get(item):
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return widget
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raise KeyError(f'Topbar widget "{item}" not found.')
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def get(self, widget_name): return self._widgets.get(widget_name)
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def __setitem__(self, key, value): self._widgets[key] = value
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def switcher(self, name, options: tuple, default: str = None, func: callable = None):
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self._create()
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self._widgets[name] = SwitcherWidget(self, options, default if default else options[0], func)
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def textbox(self, name: str, initial_text: str = ''):
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self._create()
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self._widgets[name] = TextWidget(self, initial_text)
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def button(self, name, button_text: str, separator: bool = True, func: callable = None):
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self._create()
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self._widgets[name] = ButtonWidget(self, button_text, separator, func)
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class ToolBox:
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def __init__(self, chart):
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self.run_script = chart.run_script
|
|
self.id = chart.id
|
|
self._return_q = chart._return_q
|
|
self._save_under = None
|
|
self.drawings = {}
|
|
chart._handlers[f'save_drawings{self.id}'] = self._save_drawings
|
|
|
|
def save_drawings_under(self, widget: Widget):
|
|
"""
|
|
Drawings made on charts will be saved under the widget given. eg `chart.toolbox.save_drawings_under(chart.topbar['symbol'])`.
|
|
"""
|
|
self._save_under = widget
|
|
|
|
def load_drawings(self, tag: str):
|
|
"""
|
|
Loads and displays the drawings on the chart stored under the tag given.
|
|
"""
|
|
if not self.drawings.get(tag):
|
|
return
|
|
self.run_script(f'if ("toolBox" in {self.id}) {self.id}.toolBox.loadDrawings({json.dumps(self.drawings[tag])})')
|
|
|
|
def import_drawings(self, file_path):
|
|
"""
|
|
Imports a list of drawings stored at the given file path.
|
|
"""
|
|
with open(file_path, 'r') as f:
|
|
json_data = json.load(f)
|
|
self.drawings = json_data
|
|
|
|
def export_drawings(self, file_path):
|
|
"""
|
|
Exports the current list of drawings to the given file path.
|
|
"""
|
|
with open(file_path, 'w+') as f:
|
|
json.dump(self.drawings, f, indent=4)
|
|
|
|
def _save_drawings(self, drawings):
|
|
if not self._save_under:
|
|
return
|
|
self.drawings[self._save_under.value] = json.loads(drawings)
|
|
|
|
|
|
class LWC(SeriesCommon):
|
|
def __init__(self, inner_width: float = 1.0, inner_height: float = 1.0,
|
|
scale_candles_only: bool = False, toolbox: bool = False, _js_api_code: str = None,
|
|
autosize: bool = True, _run_script=None):
|
|
self.loaded = False
|
|
self._scripts = []
|
|
self._final_scripts = []
|
|
if _run_script:
|
|
self.run_script = _run_script
|
|
self.run_script(f'window.callbackFunction = {_js_api_code}') if _js_api_code else None
|
|
self._scale_candles_only = scale_candles_only
|
|
self._inner_width = inner_width
|
|
self._inner_height = inner_height
|
|
self._rand = IDGen()
|
|
self.id = self._rand.generate()
|
|
self._position = 'left'
|
|
self._html = HTML
|
|
self._script_func = None
|
|
self.candle_data = pd.DataFrame()
|
|
self._last_bar = None
|
|
self._interval = None
|
|
self._lines = []
|
|
self.events: Events = Events(self)
|
|
self._handlers = {}
|
|
self._return_q = None
|
|
self._callbacks_enabled = False
|
|
self.topbar: TopBar = TopBar(self)
|
|
|
|
self._background_color = '#000000'
|
|
self._volume_up_color = 'rgba(83,141,131,0.8)'
|
|
self._volume_down_color = 'rgba(200,127,130,0.8)'
|
|
|
|
from lightweight_charts.polygon import PolygonAPI
|
|
self.polygon: PolygonAPI = PolygonAPI(self)
|
|
|
|
self.run_script(f'''
|
|
{self.id} = makeChart({self._inner_width}, {self._inner_height}, autoSize={jbool(autosize)})
|
|
{self.id}.id = '{self.id}'
|
|
{self.id}.wrapper.style.float = "{self._position}"
|
|
''')
|
|
if toolbox:
|
|
self.run_script(JS['toolbox'])
|
|
self.run_script(f'{self.id}.toolBox = new ToolBox({self.id})')
|
|
self.toolbox: ToolBox = ToolBox(self)
|
|
|
|
def _on_js_load(self):
|
|
if self.loaded:
|
|
return
|
|
self.loaded = True
|
|
[self.run_script(script) for script in self._scripts]
|
|
[self.run_script(script) for script in self._final_scripts]
|
|
|
|
def run_script(self, script: str, run_last: bool = False):
|
|
"""
|
|
For advanced users; evaluates JavaScript within the Webview.
|
|
"""
|
|
if self.loaded:
|
|
self._script_func(script)
|
|
return
|
|
self._scripts.append(script) if not run_last else self._final_scripts.append(script)
|
|
|
|
def set(self, df: pd.DataFrame = None, render_drawings=False):
|
|
"""
|
|
Sets the initial data for the chart.\n
|
|
:param df: columns: date/time, open, high, low, close, volume (if volume enabled).
|
|
:param render_drawings: Re-renders any drawings made through the toolbox. Otherwise, they will be deleted.
|
|
"""
|
|
|
|
if df.empty or df is None:
|
|
self.run_script(f'{self.id}.series.setData([])')
|
|
self.run_script(f'{self.id}.volumeSeries.setData([])')
|
|
self.candle_data = pd.DataFrame()
|
|
return
|
|
bars = self._df_datetime_format(df)
|
|
self.candle_data = bars.copy()
|
|
self._last_bar = bars.iloc[-1]
|
|
|
|
if 'volume' in bars:
|
|
volume = bars.drop(columns=['open', 'high', 'low', 'close']).rename(columns={'volume': 'value'})
|
|
volume['color'] = self._volume_down_color
|
|
volume.loc[bars['close'] > bars['open'], 'color'] = self._volume_up_color
|
|
self.run_script(f'{self.id}.volumeSeries.setData({volume.to_dict(orient="records")})')
|
|
bars = bars.drop(columns=['volume'])
|
|
|
|
bars = bars.to_dict(orient='records')
|
|
self.run_script(f'{self.id}.candleData = {bars}; {self.id}.series.setData({self.id}.candleData)')
|
|
self.run_script(f"if ('toolBox' in {self.id}) {self.id}.toolBox.{'clearDrawings' if not render_drawings else 'renderDrawings'}()")
|
|
|
|
# for line in self._lines:
|
|
# if line.name in df.columns:
|
|
# line.set()
|
|
|
|
def fit(self):
|
|
"""
|
|
Fits the maximum amount of the chart data within the viewport.
|
|
"""
|
|
self.run_script(f'{self.id}.chart.timeScale().fitContent()')
|
|
|
|
def update(self, series: pd.Series, _from_tick=False):
|
|
"""
|
|
Updates the data from a bar;
|
|
if series['time'] is the same time as the last bar, the last bar will be overwritten.\n
|
|
:param series: labels: date/time, open, high, low, close, volume (if volume enabled).
|
|
"""
|
|
series = self._series_datetime_format(series) if not _from_tick else series
|
|
if series['time'] != self._last_bar['time']:
|
|
self.candle_data.loc[self.candle_data.index[-1]] = self._last_bar
|
|
self.candle_data = pd.concat([self.candle_data, series.to_frame().T], ignore_index=True)
|
|
self.events.new_bar._emit(self)
|
|
self._last_bar = series
|
|
|
|
if 'volume' in series:
|
|
volume = series.drop(['open', 'high', 'low', 'close']).rename({'volume': 'value'})
|
|
volume['color'] = self._volume_up_color if series['close'] > series['open'] else self._volume_down_color
|
|
self.run_script(f'{self.id}.volumeSeries.update({volume.to_dict()})')
|
|
series = series.drop(['volume'])
|
|
bar = series.to_dict()
|
|
self.run_script(f'''
|
|
if (chartTimeToDate({self.id}.candleData[{self.id}.candleData.length-1].time).getTime() === chartTimeToDate({bar['time']}).getTime()) {{
|
|
{self.id}.candleData[{self.id}.candleData.length-1] = {bar}
|
|
}}
|
|
else {{
|
|
{self.id}.candleData.push({bar})
|
|
}}
|
|
{self.id}.series.update({bar})
|
|
''')
|
|
|
|
def update_from_tick(self, series: pd.Series, cumulative_volume: bool = False):
|
|
"""
|
|
Updates the data from a tick.\n
|
|
:param series: labels: date/time, price, volume (if volume enabled).
|
|
:param cumulative_volume: Adds the given volume onto the latest bar.
|
|
"""
|
|
series = self._series_datetime_format(series)
|
|
bar = pd.Series()
|
|
if series['time'] == self._last_bar['time']:
|
|
bar = self._last_bar
|
|
bar['high'] = max(self._last_bar['high'], series['price'])
|
|
bar['low'] = min(self._last_bar['low'], series['price'])
|
|
bar['close'] = series['price']
|
|
if 'volume' in series:
|
|
if cumulative_volume:
|
|
bar['volume'] += series['volume']
|
|
else:
|
|
bar['volume'] = series['volume']
|
|
else:
|
|
for key in ('open', 'high', 'low', 'close'):
|
|
bar[key] = series['price']
|
|
bar['time'] = series['time']
|
|
if 'volume' in series:
|
|
bar['volume'] = series['volume']
|
|
self.update(bar, _from_tick=True)
|
|
|
|
def create_line(self, name: str = '', color: str = 'rgba(214, 237, 255, 0.6)', style: LINE_STYLE = 'solid', width: int = 2,
|
|
price_line: bool = True, price_label: bool = True) -> Line:
|
|
"""
|
|
Creates and returns a Line object.)\n
|
|
"""
|
|
self._lines.append(Line(self, name, color, style, width, price_line, price_label))
|
|
return self._lines[-1]
|
|
|
|
def lines(self) -> List[Line]:
|
|
"""
|
|
Returns all lines for the chart.
|
|
"""
|
|
return self._lines.copy()
|
|
|
|
def trend_line(self, start_time, start_value, end_time, end_value, color: str = '#1E80F0', width: int = 2) -> Line:
|
|
line = Line(self, '', color, 'solid', width, price_line=False, price_label=False, crosshair_marker=False)
|
|
line._set_trend(start_time, start_value, end_time, end_value, ray=False)
|
|
return line
|
|
|
|
def ray_line(self, start_time, value, color: str = '#1E80F0', width: int = 2) -> Line:
|
|
line = Line(self, '', color, 'solid', width, price_line=False, price_label=False, crosshair_marker=False)
|
|
line._set_trend(start_time, value, start_time, value, ray=True)
|
|
return line
|
|
|
|
def price_scale(self, mode: PRICE_SCALE_MODE = 'normal', align_labels: bool = True, border_visible: bool = False,
|
|
border_color: str = None, text_color: str = None, entire_text_only: bool = False,
|
|
ticks_visible: bool = False, scale_margin_top: float = 0.2, scale_margin_bottom: float = 0.2):
|
|
self.run_script(f'''
|
|
{self.id}.series.priceScale().applyOptions({{
|
|
mode: {price_scale_mode(mode)},
|
|
alignLabels: {jbool(align_labels)},
|
|
borderVisible: {jbool(border_visible)},
|
|
{f'borderColor: "{border_color}",' if border_color else ''}
|
|
{f'textColor: "{text_color}",' if text_color else ''}
|
|
entireTextOnly: {jbool(entire_text_only)},
|
|
ticksVisible: {jbool(ticks_visible)},
|
|
scaleMargins: {{top: {scale_margin_top}, bottom: {scale_margin_bottom}}}
|
|
}})''')
|
|
|
|
def time_scale(self, right_offset: int = 0, min_bar_spacing: float = 0.5,
|
|
visible: bool = True, time_visible: bool = True, seconds_visible: bool = False,
|
|
border_visible: bool = True, border_color: str = None):
|
|
"""
|
|
Options for the time scale of the chart.
|
|
"""
|
|
self.run_script(f'''
|
|
{self.id}.chart.applyOptions({{
|
|
timeScale: {{
|
|
rightOffset: {right_offset},
|
|
minBarSpacing: {min_bar_spacing},
|
|
visible: {jbool(visible)},
|
|
timeVisible: {jbool(time_visible)},
|
|
secondsVisible: {jbool(seconds_visible)},
|
|
borderVisible: {jbool(border_visible)},
|
|
{f'borderColor: "{border_color}",' if border_color else ''}
|
|
}}
|
|
}})''')
|
|
|
|
def layout(self, background_color: str = None, text_color: str = None, font_size: int = None,
|
|
font_family: str = None):
|
|
"""
|
|
Global layout options for the chart.
|
|
"""
|
|
self._background_color = background_color if background_color else self._background_color
|
|
self.run_script(f"""
|
|
document.getElementById('wrapper').style.backgroundColor = '{self._background_color}'
|
|
{self.id}.chart.applyOptions({{
|
|
layout: {{
|
|
background: {{
|
|
color: "{self._background_color}",
|
|
}},
|
|
{f'textColor: "{text_color}",' if text_color else ''}
|
|
{f'fontSize: {font_size},' if font_size else ''}
|
|
{f'fontFamily: "{font_family}",' if font_family else ''}
|
|
}}}})""")
|
|
|
|
def grid(self, vert_enabled: bool = True, horz_enabled: bool = True, color: str = 'rgba(29, 30, 38, 5)', style: LINE_STYLE = 'solid'):
|
|
"""
|
|
Grid styling for the chart.
|
|
"""
|
|
self.run_script(f"""
|
|
{self.id}.chart.applyOptions({{
|
|
grid: {{
|
|
vertLines: {{
|
|
visible: {jbool(vert_enabled)},
|
|
color: "{color}",
|
|
style: {line_style(style)},
|
|
}},
|
|
horzLines: {{
|
|
visible: {jbool(horz_enabled)},
|
|
color: "{color}",
|
|
style: {line_style(style)},
|
|
}},
|
|
}}
|
|
}})""")
|
|
|
|
def candle_style(self, up_color: str = 'rgba(39, 157, 130, 100)', down_color: str = 'rgba(200, 97, 100, 100)',
|
|
wick_enabled: bool = True, border_enabled: bool = True, border_up_color: str = '',
|
|
border_down_color: str = '', wick_up_color: str = '', wick_down_color: str = ''):
|
|
"""
|
|
Candle styling for each of its parts.\n
|
|
If only `up_color` and `down_color` are passed, they will color all parts of the candle.
|
|
"""
|
|
self.run_script(f"""
|
|
{self.id}.series.applyOptions({{
|
|
upColor: "{up_color}",
|
|
downColor: "{down_color}",
|
|
wickVisible: {jbool(wick_enabled)},
|
|
borderVisible: {jbool(border_enabled)},
|
|
{f'borderUpColor: "{border_up_color if border_up_color else up_color}",' if border_enabled else ''}
|
|
{f'borderDownColor: "{border_down_color if border_down_color else down_color}",' if border_enabled else ''}
|
|
{f'wickUpColor: "{wick_up_color if wick_up_color else up_color}",' if wick_enabled else ''}
|
|
{f'wickDownColor: "{wick_down_color if wick_down_color else down_color}",' if wick_enabled else ''}
|
|
}})""")
|
|
|
|
def volume_config(self, scale_margin_top: float = 0.8, scale_margin_bottom: float = 0.0,
|
|
up_color='rgba(83,141,131,0.8)', down_color='rgba(200,127,130,0.8)'):
|
|
"""
|
|
Configure volume settings.\n
|
|
Numbers for scaling must be greater than 0 and less than 1.\n
|
|
Volume colors must be applied prior to setting/updating the bars.\n
|
|
:param scale_margin_top: Scale the top of the margin.
|
|
:param scale_margin_bottom: Scale the bottom of the margin.
|
|
:param up_color: Volume color for upward direction (rgb, rgba or hex)
|
|
:param down_color: Volume color for downward direction (rgb, rgba or hex)
|
|
"""
|
|
self._volume_up_color = up_color if up_color else self._volume_up_color
|
|
self._volume_down_color = down_color if down_color else self._volume_down_color
|
|
self.run_script(f'''
|
|
{self.id}.volumeSeries.priceScale().applyOptions({{
|
|
scaleMargins: {{
|
|
top: {scale_margin_top},
|
|
bottom: {scale_margin_bottom},
|
|
}}
|
|
}})''')
|
|
|
|
def crosshair(self, mode: CROSSHAIR_MODE = 'normal', vert_visible: bool = True, vert_width: int = 1, vert_color: str = None,
|
|
vert_style: LINE_STYLE = 'large_dashed', vert_label_background_color: str = 'rgb(46, 46, 46)', horz_visible: bool = True,
|
|
horz_width: int = 1, horz_color: str = None, horz_style: LINE_STYLE = 'large_dashed', horz_label_background_color: str = 'rgb(55, 55, 55)'):
|
|
"""
|
|
Crosshair formatting for its vertical and horizontal axes.
|
|
"""
|
|
self.run_script(f'''
|
|
{self.id}.chart.applyOptions({{
|
|
crosshair: {{
|
|
mode: {crosshair_mode(mode)},
|
|
vertLine: {{
|
|
visible: {jbool(vert_visible)},
|
|
width: {vert_width},
|
|
{f'color: "{vert_color}",' if vert_color else ''}
|
|
style: {line_style(vert_style)},
|
|
labelBackgroundColor: "{vert_label_background_color}"
|
|
}},
|
|
horzLine: {{
|
|
visible: {jbool(horz_visible)},
|
|
width: {horz_width},
|
|
{f'color: "{horz_color}",' if horz_color else ''}
|
|
style: {line_style(horz_style)},
|
|
labelBackgroundColor: "{horz_label_background_color}"
|
|
}}
|
|
}}}})''')
|
|
|
|
def watermark(self, text: str, font_size: int = 44, color: str = 'rgba(180, 180, 200, 0.5)'):
|
|
"""
|
|
Adds a watermark to the chart.
|
|
"""
|
|
self.run_script(f'''
|
|
{self.id}.chart.applyOptions({{
|
|
watermark: {{
|
|
visible: true,
|
|
fontSize: {font_size},
|
|
horzAlign: 'center',
|
|
vertAlign: 'center',
|
|
color: '{color}',
|
|
text: '{text}',
|
|
}}
|
|
}})''')
|
|
|
|
def legend(self, visible: bool = False, ohlc: bool = True, percent: bool = True, lines: bool = True, color: str = 'rgb(191, 195, 203)',
|
|
font_size: int = 11, font_family: str = 'Monaco'):
|
|
"""
|
|
Configures the legend of the chart.
|
|
"""
|
|
if not visible:
|
|
return
|
|
self.run_script(f'''
|
|
{self.id}.legend = new Legend({self.id}, {jbool(ohlc)}, {jbool(percent)}, {jbool(lines)}, '{color}', {font_size}, '{font_family}')
|
|
''')
|
|
|
|
def spinner(self, visible): self.run_script(f"{self.id}.spinner.style.display = '{'block' if visible else 'none'}'")
|
|
|
|
def screenshot(self) -> bytes:
|
|
"""
|
|
Takes a screenshot. This method can only be used after the chart window is visible.
|
|
:return: a bytes object containing a screenshot of the chart.
|
|
"""
|
|
self.run_script(f'''
|
|
let canvas = {self.id}.chart.takeScreenshot()
|
|
canvas.toBlob(function(blob) {{
|
|
const reader = new FileReader();
|
|
reader.onload = function(event) {{
|
|
window.callbackFunction(`return_~_{self.id}_~_${{event.target.result}}`)
|
|
}};
|
|
reader.readAsDataURL(blob);
|
|
}})
|
|
''')
|
|
serial_data = self._return_q.get()
|
|
return b64decode(serial_data.split(',')[1])
|
|
|
|
def hotkey(self, modifier_key: Literal['ctrl', 'alt', 'shift', 'meta'], keys: Union[str, tuple, int], func: callable):
|
|
if not isinstance(keys, tuple): keys = (keys,)
|
|
for key in keys:
|
|
key_code = 'Key' + key.upper() if isinstance(key, str) else 'Digit' + str(key)
|
|
self.run_script(f'''
|
|
{self.id}.commandFunctions.unshift((event) => {{
|
|
if (event.{modifier_key + 'Key'} && event.code === '{key_code}') {{
|
|
event.preventDefault()
|
|
window.callbackFunction(`{modifier_key, keys}_~_{key}`)
|
|
return true
|
|
}}
|
|
else return false
|
|
}})''')
|
|
self._handlers[f'{modifier_key, keys}'] = func
|
|
|
|
def create_table(self, width: Union[float, int], height: Union[float, int], headings: tuple, widths: tuple = None, alignments: tuple = None,
|
|
position: str = 'left', draggable: bool = False, func: callable = None) -> Table:
|
|
return Table(self, width, height, headings, widths, alignments, position, draggable, func)
|
|
|
|
def create_subchart(self, position: Literal['left', 'right', 'top', 'bottom'] = 'left', width: float = 0.5, height: float = 0.5,
|
|
sync: Union[bool, str] = False, scale_candles_only: bool = False, toolbox: bool = False):
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return SubChart(self, position, width, height, sync, scale_candles_only, toolbox)
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|
|
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class SubChart(LWC):
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def __init__(self, parent, position, width, height, sync, scale_candles_only, toolbox):
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self._chart = parent._chart if isinstance(parent, SubChart) else parent
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super().__init__(width, height, scale_candles_only, toolbox, _run_script=self._chart.run_script)
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self._parent = parent
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self._position = position
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self._return_q = self._chart._return_q
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for key, val in self._handlers.items():
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self._chart._handlers[key] = val
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self._handlers = self._chart._handlers
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|
self.polygon = self._chart.polygon._subchart(self)
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|
|
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if not sync:
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return
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sync_parent_id = self._parent.id if isinstance(sync, bool) else sync
|
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self.run_script(f'''
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{sync_parent_id}.chart.timeScale().subscribeVisibleLogicalRangeChange((timeRange) => {{
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{self.id}.chart.timeScale().setVisibleLogicalRange(timeRange)
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}});
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syncCrosshairs({self.id}.chart, {sync_parent_id}.chart)
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''')
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self.run_script(f'''
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{self.id}.chart.timeScale().setVisibleLogicalRange({sync_parent_id}.chart.timeScale().getVisibleLogicalRange())
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''', run_last=True)
|