fecfb6531c
- Updated to Lightweight Charts 4.1 - Topbar menu widgets will now scroll when a large number of items are added to them - Vertical Spans can now be placed on Line objects Bugs - Histograms will now be deleted from the legend - autoScale is reset to true upon using `set`.
976 lines
40 KiB
Python
976 lines
40 KiB
Python
import asyncio
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import os
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from base64 import b64decode
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from datetime import datetime
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from typing import Union, Literal, List
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import pandas as pd
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from .table import Table
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from .toolbox import ToolBox
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from .topbar import TopBar
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from .util import (
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IDGen, jbool, Pane, Events, TIME, NUM, FLOAT,
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LINE_STYLE, MARKER_POSITION, MARKER_SHAPE, CROSSHAIR_MODE, PRICE_SCALE_MODE,
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line_style, marker_position, marker_shape, crosshair_mode, price_scale_mode, js_data,
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)
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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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TEMPLATE = 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,
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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 Window:
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_id_gen = IDGen()
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handlers = {}
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def __init__(self, script_func: callable = None, js_api_code: str = None, run_script: callable = None):
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self.loaded = False
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self.script_func = script_func
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self.scripts = []
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self.final_scripts = []
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if run_script:
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self.run_script = run_script
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if js_api_code:
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self.run_script(f'window.callbackFunction = {js_api_code}')
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def on_js_load(self):
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if self.loaded:
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return
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self.loaded = True
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[self.run_script(script) for script in self.scripts]
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[self.run_script(script) for script in self.final_scripts]
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def run_script(self, script: str, run_last: bool = False):
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"""
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For advanced users; evaluates JavaScript within the Webview.
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"""
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if self.loaded:
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self.script_func(script)
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return
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self.scripts.append(script) if not run_last else self.final_scripts.append(script)
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def create_table(
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self, width: NUM, height: NUM, headings: tuple, widths: tuple = None,
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alignments: tuple = None, position: FLOAT = 'left', draggable: bool = False,
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background_color: str = '#121417', border_color: str = 'rgb(70, 70, 70)',
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border_width: int = 1, heading_text_colors: tuple = None,
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heading_background_colors: tuple = None, return_clicked_cells: bool = False,
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func: callable = None
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) -> 'Table':
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return Table(self, width, height, headings, widths, alignments, position, draggable,
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background_color, border_color, border_width, heading_text_colors,
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heading_background_colors, return_clicked_cells, func)
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def create_subchart(self, position: FLOAT = 'left', width: float = 0.5, height: float = 0.5,
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sync_id: str = None, scale_candles_only: bool = False, toolbox: bool = False
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) -> 'AbstractChart':
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subchart = AbstractChart(self, width, height, scale_candles_only, toolbox, position=position)
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if not sync_id:
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return subchart
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self.run_script(f'''
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syncCharts({subchart.id}, {sync_id})
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{subchart.id}.chart.timeScale().setVisibleLogicalRange(
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{sync_id}.chart.timeScale().getVisibleLogicalRange()
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)
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''', run_last=True)
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return subchart
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def style(self, background_color: str = '#0c0d0f', hover_background_color: str = '#3c434c',
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click_background_color: str = '#50565E',
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active_background_color: str = 'rgba(0, 122, 255, 0.7)',
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muted_background_color: str = 'rgba(0, 122, 255, 0.3)',
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border_color: str = '#3C434C', color: str = '#d8d9db', active_color: str = '#ececed'):
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self.run_script(f'''
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window.pane = {{
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backgroundColor: '{background_color}',
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hoverBackgroundColor: '{hover_background_color}',
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clickBackgroundColor: '{click_background_color}',
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activeBackgroundColor: '{active_background_color}',
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mutedBackgroundColor: '{muted_background_color}',
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borderColor: '{border_color}',
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color: '{color}',
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activeColor: '{active_color}',
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}}''')
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class SeriesCommon(Pane):
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def __init__(self, chart: 'AbstractChart', name: str = None):
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super().__init__(chart.win)
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self._chart = chart
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if hasattr(chart, '_interval'):
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self._interval = chart._interval
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else:
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self._interval = 1
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self._last_bar = None
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self.name = name
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self.num_decimals = 2
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self.offset = 0
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self.data = pd.DataFrame()
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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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if common_interval.empty:
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return
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self._interval = common_interval.index[0].total_seconds()
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units = [
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pd.Timedelta(microseconds=df['time'].dt.microsecond.value_counts().index[0]),
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pd.Timedelta(seconds=df['time'].dt.second.value_counts().index[0]),
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pd.Timedelta(minutes=df['time'].dt.minute.value_counts().index[0]),
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pd.Timedelta(hours=df['time'].dt.hour.value_counts().index[0]),
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pd.Timedelta(days=df['time'].dt.day.value_counts().index[0]),
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]
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self.offset = 0
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for value in units:
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value = value.total_seconds()
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if value == 0:
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continue
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elif value >= self._interval:
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break
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self.offset = value
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break
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self.run_script(
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f'if ({self.id}.toolBox) {self.id}.interval = {self._interval}'
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)
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def _push_to_legend(self):
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self.run_script(f'''
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{self._chart.id}.lines.push({self.id})
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{self._chart.id}.legend.lines.push({self._chart.id}.legend.makeLineRow({self.id}))
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''')
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@staticmethod
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def _format_labels(data, labels, index, exclude_lowercase):
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def rename(la, mapper):
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return [mapper[key] if key in mapper else key for key in la]
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if 'date' not in labels and 'time' not in labels:
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labels = labels.str.lower()
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if exclude_lowercase:
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labels = rename(labels, {exclude_lowercase.lower(): exclude_lowercase})
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if 'date' in labels:
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labels = rename(labels, {'date': 'time'})
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elif 'time' not in labels:
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data['time'] = index
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labels = [*labels, 'time']
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return labels
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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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df.columns = self._format_labels(df, df.columns, df.index, exclude_lowercase)
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self._set_interval(df)
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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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df['time'] = df['time'].astype('int64') // 10 ** 9
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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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series.index = self._format_labels(series, series.index, series.name, exclude_lowercase)
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series['time'] = self._single_datetime_format(series['time'])
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return series
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def _single_datetime_format(self, arg):
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if isinstance(arg, (str, int, float)) or not pd.api.types.is_datetime64_any_dtype(arg):
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arg = pd.to_datetime(arg)
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arg = self._interval * (arg.timestamp() // self._interval)+self.offset
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return arg
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def set(self, df: pd.DataFrame = None, format_cols: bool = True):
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if df is None or df.empty:
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self.run_script(f'{self.id}.series.setData([])')
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self.data = pd.DataFrame()
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return
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if format_cols:
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df = self._df_datetime_format(df, exclude_lowercase=self.name)
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if self.name:
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if self.name not in df:
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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.data = df.copy()
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self._last_bar = df.iloc[-1]
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self.run_script(f'{self.id}.data = {js_data(df)}; {self.id}.series.setData({self.id}.data); ')
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def update(self, series: pd.Series):
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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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if self._last_bar and series['time'] != self._last_bar['time']:
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self.data.loc[self.data.index[-1]] = self._last_bar
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self.data = pd.concat([self.data, series.to_frame().T], ignore_index=True)
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self._last_bar = series
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bar = js_data(series)
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self.run_script(f'''
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if (stampToDate(lastBar({self.id}.data).time).getTime() === stampToDate({series['time']}).getTime()) {{
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{self.id}.data[{self.id}.data.length-1] = {bar}
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}}
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else {self.id}.data.push({bar})
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{self.id}.series.update({bar})
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''')
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self.run_script(f'{self.id}.series.update({js_data(series)})')
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def marker(self, time: datetime = None, position: MARKER_POSITION = 'below',
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shape: MARKER_SHAPE = 'arrow_up', color: str = '#2196F3', text: str = ''
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) -> str:
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"""
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Creates a new marker.\n
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:param time: Time location of the marker. 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._single_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.win._id_gen.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: NUM, color: str = 'rgb(122, 146, 202)', width: int = 2,
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style: LINE_STYLE = 'solid', text: str = '', axis_label_visible: bool = True,
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func: callable = None
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) -> '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: NUM = 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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self.num_decimals = precision
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def hide_data(self):
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self._toggle_data(False)
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def show_data(self):
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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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if ('volumeSeries' in {self.id}) {self.id}.volumeSeries.applyOptions({{visible: {jbool(arg)}}})
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''')
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def vertical_span(self, start_time: Union[TIME, tuple, list], end_time: TIME = None,
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color: str = 'rgba(252, 219, 3, 0.2)'):
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"""
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Creates a vertical line or span across the chart.\n
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Start time and end time can be used together, or end_time can be
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omitted and a single time or a list of times can be passed to start_time.
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"""
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return VerticalSpan(self, start_time, end_time, color)
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class HorizontalLine(Pane):
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def __init__(self, chart, price, color, width, style, text, axis_label_visible, func):
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super().__init__(chart.win)
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self.price = price
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self.run_script(f'''
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{self.id} = new HorizontalLine(
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{chart.id}, '{self.id}', {price}, '{color}', {width},
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{line_style(style)}, {jbool(axis_label_visible)}, '{text}'
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)''')
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if not func:
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return
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def wrapper(p):
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self.price = float(p)
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func(chart, self)
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async def wrapper_async(p):
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self.price = float(p)
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await func(chart, self)
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self.win.handlers[self.id] = wrapper_async if asyncio.iscoroutinefunction(func) else wrapper
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self.run_script(f'if ("toolBox" in {chart.id}) {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.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.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.run_script(f'{self.id}.deleteLine()')
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del self
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class VerticalSpan(Pane):
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def __init__(self, series: 'SeriesCommon', start_time: Union[TIME, tuple, list], end_time: TIME = None,
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color: str = 'rgba(252, 219, 3, 0.2)'):
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self._chart = series._chart
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super().__init__(self._chart.win)
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start_time, end_time = pd.to_datetime(start_time), pd.to_datetime(end_time)
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self.run_script(f'''
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{self.id} = {self._chart.id}.chart.addHistogramSeries({{
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color: '{color}',
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priceFormat: {{type: 'volume'}},
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priceScaleId: 'vertical_line',
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lastValueVisible: false,
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priceLineVisible: false,
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}})
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{self.id}.priceScale('').applyOptions({{
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scaleMargins: {{top: 0, bottom: 0}}
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}})
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''')
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if end_time is None:
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if isinstance(start_time, pd.DatetimeIndex):
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data = [{'time': time.timestamp(), 'value': 1} for time in start_time]
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else:
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data = [{'time': start_time.timestamp(), 'value': 1}]
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self.run_script(f'{self.id}.setData({data})')
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else:
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self.run_script(f'''
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{self.id}.setData(calculateTrendLine(
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{start_time.timestamp()}, 1, {end_time.timestamp()}, 1, {series.id}))
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''')
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def delete(self):
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"""
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Irreversibly deletes the vertical span.
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"""
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self.run_script(f'{self._chart.id}.chart.removeSeries({self.id})')
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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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super().__init__(chart, name)
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self.color = color
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self.run_script(f'''
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{self.id} = {{
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series: {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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},
|
|
}),""" if chart._scale_candles_only else ''}
|
|
}}),
|
|
markers: [],
|
|
horizontal_lines: [],
|
|
name: '{name}',
|
|
color: '{color}',
|
|
precision: 2,
|
|
}}
|
|
null''')
|
|
|
|
def _set_trend(self, start_time, start_value, end_time, end_value, ray=False, round=False):
|
|
if round:
|
|
start_time = self._single_datetime_format(start_time)
|
|
end_time = self._single_datetime_format(end_time)
|
|
else:
|
|
start_time, end_time = pd.to_datetime((start_time, end_time)).astype('int64') // 10 ** 9
|
|
|
|
self.run_script(f'''
|
|
{self._chart.id}.chart.timeScale().applyOptions({{shiftVisibleRangeOnNewBar: false}})
|
|
{self.id}.series.setData(
|
|
calculateTrendLine({start_time}, {start_value}, {end_time}, {end_value},
|
|
{self._chart.id}, {jbool(ray)}))
|
|
{self._chart.id}.chart.timeScale().applyOptions({{shiftVisibleRangeOnNewBar: true}})
|
|
''')
|
|
|
|
def delete(self):
|
|
"""
|
|
Irreversibly deletes the line, as well as the object that contains the line.
|
|
"""
|
|
self._chart._lines.remove(self) if self in self._chart._lines else None
|
|
self.run_script(f'''
|
|
{self._chart.id}.chart.removeSeries({self.id}.series)
|
|
{self._chart.id}.legend.lines.forEach(line => {{
|
|
if (line.line === {self.id}) {self._chart.id}.legend.div.removeChild(line.row)
|
|
}})
|
|
delete {self.id}
|
|
''')
|
|
|
|
|
|
class Histogram(SeriesCommon):
|
|
def __init__(self, chart, name, color, price_line, price_label, scale_margin_top, scale_margin_bottom):
|
|
super().__init__(chart, name)
|
|
self.color = color
|
|
self.run_script(f'''
|
|
{self.id} = {{
|
|
series: {chart.id}.chart.addHistogramSeries({{
|
|
color: '{color}',
|
|
lastValueVisible: {jbool(price_label)},
|
|
priceLineVisible: {jbool(price_line)},
|
|
priceScaleId: '{self.id}',
|
|
priceFormat: {{type: "volume"}},
|
|
}}),
|
|
markers: [],
|
|
horizontal_lines: [],
|
|
name: '{name}',
|
|
color: '{color}',
|
|
precision: 2,
|
|
}}
|
|
{self.id}.series.priceScale().applyOptions({{
|
|
scaleMargins: {{top:{scale_margin_top}, bottom: {scale_margin_bottom}}}
|
|
}})''')
|
|
|
|
def delete(self):
|
|
"""
|
|
Irreversibly deletes the histogram.
|
|
"""
|
|
self.run_script(f'''
|
|
{self._chart.id}.chart.removeSeries({self.id}.series)
|
|
{self._chart.id}.legend.lines.forEach(line => {{
|
|
if (line.line === {self.id}) {self._chart.id}.legend.div.removeChild(line.row)
|
|
}})
|
|
delete {self.id}
|
|
''')
|
|
|
|
def scale(self, scale_margin_top: float = 0.0, scale_margin_bottom: float = 0.0):
|
|
self.run_script(f'''
|
|
{self.id}.series.priceScale().applyOptions({{
|
|
scaleMargins: {{top: {scale_margin_top}, bottom: {scale_margin_bottom}}}
|
|
}})''')
|
|
|
|
|
|
class Candlestick(SeriesCommon):
|
|
def __init__(self, chart: 'AbstractChart'):
|
|
super().__init__(chart)
|
|
self._volume_up_color = 'rgba(83,141,131,0.8)'
|
|
self._volume_down_color = 'rgba(200,127,130,0.8)'
|
|
|
|
self.candle_data = pd.DataFrame()
|
|
|
|
self.run_script(f'{self.id}.makeCandlestickSeries()')
|
|
|
|
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 is None or df.empty:
|
|
self.run_script(f'{self.id}.series.setData([])')
|
|
self.run_script(f'{self.id}.volumeSeries.setData([])')
|
|
self.candle_data = pd.DataFrame()
|
|
return
|
|
df = self._df_datetime_format(df)
|
|
self.candle_data = df.copy()
|
|
self._last_bar = df.iloc[-1]
|
|
|
|
self.run_script(f'{self.id}.data = {js_data(df)}; {self.id}.series.setData({self.id}.data)')
|
|
toolbox_action = 'clearDrawings' if not render_drawings else 'renderDrawings'
|
|
self.run_script(f"if ('toolBox' in {self._chart.id}) {self._chart.id}.toolBox.{toolbox_action}()")
|
|
if 'volume' not in df:
|
|
return
|
|
volume = df.drop(columns=['open', 'high', 'low', 'close']).rename(columns={'volume': 'value'})
|
|
volume['color'] = self._volume_down_color
|
|
volume.loc[df['close'] > df['open'], 'color'] = self._volume_up_color
|
|
self.run_script(f'{self.id}.volumeSeries.setData({js_data(volume)})')
|
|
|
|
for line in self._lines:
|
|
if line.name not in df.columns:
|
|
continue
|
|
line.set(df[['time', line.name]], format_cols=False)
|
|
# set autoScale to true in case the user has dragged the price scale
|
|
self.run_script(f'''
|
|
if (!{self.id}.chart.priceScale("right").options.autoScale)
|
|
{self.id}.chart.priceScale("right").applyOptions({{autoScale: true}})
|
|
''')
|
|
|
|
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 using volume).
|
|
"""
|
|
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._chart.events.new_bar._emit(self)
|
|
self._last_bar = series
|
|
bar = js_data(series)
|
|
self.run_script(f'''
|
|
if (stampToDate(lastBar({self.id}.data).time).getTime() === stampToDate({series['time']}).getTime()) {{
|
|
{self.id}.data[{self.id}.data.length-1] = {bar}
|
|
}}
|
|
else {self.id}.data.push({bar})
|
|
{self.id}.series.update({bar})
|
|
''')
|
|
if 'volume' not in series:
|
|
return
|
|
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({js_data(volume)})')
|
|
|
|
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 using volume).
|
|
: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 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 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.
|
|
"""
|
|
if border_enabled:
|
|
border_up_color = border_up_color if border_up_color else up_color
|
|
border_down_color = border_down_color if border_down_color else down_color
|
|
if wick_enabled:
|
|
wick_up_color = wick_up_color if wick_up_color else up_color
|
|
wick_down_color = wick_down_color if wick_down_color else down_color
|
|
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_enabled else ''}
|
|
{f'borderDownColor: "{border_down_color}",' if border_enabled else ''}
|
|
{f'wickUpColor: "{wick_up_color}",' if wick_enabled else ''}
|
|
{f'wickDownColor: "{wick_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
|
|
"""
|
|
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},
|
|
}}
|
|
}})''')
|
|
|
|
|
|
class AbstractChart(Candlestick, Pane):
|
|
def __init__(self, window: Window, width: float = 1.0, height: float = 1.0,
|
|
scale_candles_only: bool = False, toolbox: bool = False,
|
|
autosize: bool = True, position: FLOAT = 'left'):
|
|
Pane.__init__(self, window)
|
|
|
|
self._lines = []
|
|
self._scale_candles_only = scale_candles_only
|
|
self._width = width
|
|
self._height = height
|
|
self.events: Events = Events(self)
|
|
|
|
from lightweight_charts.polygon import PolygonAPI
|
|
self.polygon: PolygonAPI = PolygonAPI(self)
|
|
|
|
self.run_script(
|
|
f'{self.id} = new Chart("{self.id}", {width}, {height}, "{position}", {jbool(autosize)})')
|
|
|
|
Candlestick.__init__(self, self)
|
|
|
|
self.topbar: TopBar = TopBar(self)
|
|
if toolbox:
|
|
self.toolbox: ToolBox = ToolBox(self)
|
|
|
|
def fit(self):
|
|
"""
|
|
Fits the maximum amount of the chart data within the viewport.
|
|
"""
|
|
self.run_script(f'{self.id}.chart.timeScale().fitContent()')
|
|
|
|
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.
|
|
"""
|
|
self._lines.append(Line(self, name, color, style, width, price_line, price_label))
|
|
self._lines[-1]._push_to_legend()
|
|
return self._lines[-1]
|
|
|
|
def create_histogram(
|
|
self, name: str = '', color: str = 'rgba(214, 237, 255, 0.6)',
|
|
price_line: bool = True, price_label: bool = True,
|
|
scale_margin_top: float = 0.0, scale_margin_bottom: float = 0.0
|
|
) -> Histogram:
|
|
"""
|
|
Creates and returns a Histogram object.
|
|
"""
|
|
histogram = Histogram(
|
|
self, name, color, price_line, price_label,
|
|
scale_margin_top, scale_margin_bottom)
|
|
histogram._push_to_legend()
|
|
return histogram
|
|
|
|
def lines(self) -> List[Line]:
|
|
"""
|
|
Returns all lines for the chart.
|
|
"""
|
|
return self._lines.copy()
|
|
|
|
def trend_line(self, start_time: TIME, start_value: NUM, end_time: TIME, end_value: NUM,
|
|
round: bool = False, color: str = '#1E80F0', width: int = 2,
|
|
style: LINE_STYLE = 'solid',
|
|
) -> Line:
|
|
line = Line(self, '', color, style, width, False, False, False)
|
|
line._set_trend(start_time, start_value, end_time, end_value, round=round)
|
|
return line
|
|
|
|
def ray_line(self, start_time: TIME, value: NUM, round: bool = False,
|
|
color: str = '#1E80F0', width: int = 2,
|
|
style: LINE_STYLE = 'solid'
|
|
) -> Line:
|
|
line = Line(self, '', color, style, width, False, False, False)
|
|
line._set_trend(start_time, value, start_time, value, ray=True, round=round)
|
|
return line
|
|
|
|
def set_visible_range(self, start_time: TIME, end_time: TIME):
|
|
self.run_script(f'''
|
|
{self.id}.chart.timeScale().setVisibleRange({{
|
|
from: {pd.to_datetime(start_time).timestamp()},
|
|
to: {pd.to_datetime(end_time).timestamp()}
|
|
}})
|
|
''')
|
|
|
|
def resize(self, width: float = None, height: float = None):
|
|
"""
|
|
Resizes the chart within the window.
|
|
Dimensions should be given as a float between 0 and 1.
|
|
"""
|
|
self._width = width if width is not None else self._width
|
|
self._height = height if height is not None else self._height
|
|
self.run_script(f'''
|
|
{self.id}.scale.width = {self._width}
|
|
{self.id}.scale.height = {self._height}
|
|
{self.id}.reSize()
|
|
''')
|
|
|
|
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 timescale 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 = '#000000', text_color: str = None,
|
|
font_size: int = None, font_family: str = None):
|
|
"""
|
|
Global layout options for the chart.
|
|
"""
|
|
self.run_script(f"""
|
|
document.getElementById('wrapper').style.backgroundColor = '{background_color}'
|
|
{self.id}.chart.applyOptions({{
|
|
layout: {{
|
|
background: {{color: "{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 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',
|
|
text: str = ''):
|
|
"""
|
|
Configures the legend of the chart.
|
|
"""
|
|
l_id = f'{self.id}.legend'
|
|
if not visible:
|
|
self.run_script(f'{l_id}.div.style.display = "none"')
|
|
return
|
|
self.run_script(f'''
|
|
{l_id}.div.style.display = 'flex'
|
|
{l_id}.ohlcEnabled = {jbool(ohlc)}
|
|
{l_id}.percentEnabled = {jbool(percent)}
|
|
{l_id}.linesEnabled = {jbool(lines)}
|
|
{l_id}.div.style.color = '{color}'
|
|
{l_id}.color = '{color}'
|
|
{l_id}.div.style.fontSize = '{font_size}px'
|
|
{l_id}.div.style.fontFamily = '{font_family}'
|
|
{l_id}.text.innerText = '{text}'
|
|
''')
|
|
|
|
def spinner(self, visible):
|
|
self.run_script(f"{self.id}.spinner.style.display = '{'block' if visible else 'none'}'")
|
|
|
|
def hotkey(self, modifier_key: Literal['ctrl', 'alt', 'shift', 'meta', None],
|
|
keys: Union[str, tuple, int], func: callable):
|
|
if not isinstance(keys, tuple):
|
|
keys = (keys,)
|
|
for key in keys:
|
|
key = str(key)
|
|
if key.isalnum() and len(key) == 1:
|
|
key_code = f'Digit{key}' if key.isdigit() else f'Key{key.upper()}'
|
|
key_condition = f'event.code === "{key_code}"'
|
|
else:
|
|
key_condition = f'event.key === "{key}"'
|
|
if modifier_key is not None:
|
|
key_condition += f'&& event.{modifier_key}Key'
|
|
|
|
self.run_script(f'''
|
|
{self.id}.commandFunctions.unshift((event) => {{
|
|
console.log(event.key)
|
|
if ({key_condition}) {{
|
|
event.preventDefault()
|
|
window.callbackFunction(`{modifier_key, keys}_~_{key}`)
|
|
return true
|
|
}}
|
|
else return false
|
|
}})''')
|
|
self.win.handlers[f'{modifier_key, keys}'] = func
|
|
|
|
def create_table(
|
|
self, width: NUM, height: NUM, headings: tuple, widths: tuple = None,
|
|
alignments: tuple = None, position: FLOAT = 'left', draggable: bool = False,
|
|
background_color: str = '#121417', border_color: str = 'rgb(70, 70, 70)',
|
|
border_width: int = 1, heading_text_colors: tuple = None,
|
|
heading_background_colors: tuple = None, return_clicked_cells: bool = False,
|
|
func: callable = None
|
|
) -> Table:
|
|
return self.win.create_table(width, height, headings, widths, alignments, position, draggable,
|
|
background_color, border_color, border_width, heading_text_colors,
|
|
heading_background_colors, return_clicked_cells, func)
|
|
|
|
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'_~_~RETURN~_~_{self.id}.chart.takeScreenshot().toDataURL()')
|
|
serial_data = self.win._return_q.get()
|
|
return b64decode(serial_data.split(',')[1])
|
|
|
|
def create_subchart(self, position: FLOAT = 'left', width: float = 0.5, height: float = 0.5,
|
|
sync: Union[str, bool] = None, scale_candles_only: bool = False,
|
|
toolbox: bool = False) -> 'AbstractChart':
|
|
if sync is True:
|
|
sync = self.id
|
|
return self.win.create_subchart(position, width, height, sync, scale_candles_only, toolbox)
|