555573b54b
- added the `create_histogram` method and the `Histogram` object. - added the `round` parameter to `trend_line` and `ray_line` - chart.set can now be given line data. Bug Fixes: - `NaN` values can now be given when setting data, and will leave a blank space in the data. - `resize` will now change the chart wrapper’s size as well as the chart itself.
144 lines
4.4 KiB
Python
144 lines
4.4 KiB
Python
import asyncio
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from datetime import datetime
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from random import choices
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from typing import Literal, Union
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import pandas as pd
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class Pane:
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def __init__(self, window):
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from lightweight_charts import Window
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self.win: Window = window
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self.run_script = window.run_script
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if hasattr(self, 'id'):
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return
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self.id = Window._id_gen.generate()
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class IDGen(list):
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ascii = 'abcdefghijklmnopqrstuvwxyz'
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def generate(self):
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var = ''.join(choices(self.ascii, k=8))
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if var not in self:
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self.append(var)
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return f'window.{var}'
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self.generate()
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def parse_event_message(window, string):
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name, args = string.split('_~_')
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args = args.split(';;;')
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func = window.handlers[name]
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return func, args
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def js_data(data: Union[pd.DataFrame, pd.Series]):
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orient = 'columns' if isinstance(data, pd.Series) else 'records'
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return data.to_json(orient=orient, default_handler=lambda x: 'null' if pd.isna(x) else x)
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def jbool(b: bool): return 'true' if b is True else 'false' if b is False else None
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LINE_STYLE = Literal['solid', 'dotted', 'dashed', 'large_dashed', 'sparse_dotted']
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MARKER_POSITION = Literal['above', 'below', 'inside']
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MARKER_SHAPE = Literal['arrow_up', 'arrow_down', 'circle', 'square']
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CROSSHAIR_MODE = Literal['normal', 'magnet']
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PRICE_SCALE_MODE = Literal['normal', 'logarithmic', 'percentage', 'index100']
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TIME = Union[datetime, pd.Timestamp, str]
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NUM = Union[float, int]
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FLOAT = Literal['left', 'right', 'top', 'bottom']
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def line_style(line: LINE_STYLE):
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js = 'LightweightCharts.LineStyle.'
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return js+line[:line.index('_')].title() + line[line.index('_') + 1:].title() if '_' in line else js+line.title()
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def crosshair_mode(mode: CROSSHAIR_MODE):
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return f'LightweightCharts.CrosshairMode.{mode.title()}' if mode else None
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def price_scale_mode(mode: PRICE_SCALE_MODE):
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return f"LightweightCharts.PriceScaleMode.{'IndexedTo100' if mode == 'index100' else mode.title() if mode else None}"
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def marker_shape(shape: MARKER_SHAPE):
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return shape[:shape.index('_')]+shape[shape.index('_')+1:].title() if '_' in shape else shape
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def marker_position(p: MARKER_POSITION):
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return {
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'above': 'aboveBar',
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'below': 'belowBar',
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'inside': 'inBar',
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None: None,
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}[p]
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class Emitter:
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def __init__(self):
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self._callable = None
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def __iadd__(self, other):
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self._callable = other
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return self
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def _emit(self, *args):
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self._callable(*args) if self._callable else None
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class JSEmitter:
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def __init__(self, chart, name, on_iadd, wrapper=None):
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self._on_iadd = on_iadd
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self._chart = chart
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self._name = name
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self._wrapper = wrapper
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def __iadd__(self, other):
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def final_wrapper(*arg):
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other(self._chart, *arg) if not self._wrapper else self._wrapper(other, self._chart, *arg)
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async def final_async_wrapper(*arg):
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await other(self._chart, *arg) if not self._wrapper else await self._wrapper(other, self._chart, *arg)
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self._chart.win.handlers[self._name] = final_async_wrapper if asyncio.iscoroutinefunction(other) else final_wrapper
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self._on_iadd(other)
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return self
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class Events:
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def __init__(self, chart):
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self.new_bar = Emitter()
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from lightweight_charts.abstract import JS
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self.search = JSEmitter(chart, f'search{chart.id}',
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lambda o: chart.run_script(f'''
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{JS['callback']}
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makeSpinner({chart.id})
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{chart.id}.search = makeSearchBox({chart.id})
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''')
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)
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self.range_change = JSEmitter(chart, f'range_change{chart.id}',
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lambda o: chart.run_script(f'''
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let checkLogicalRange = (logical) => {{
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{chart.id}.chart.timeScale().unsubscribeVisibleLogicalRangeChange(checkLogicalRange)
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let barsInfo = {chart.id}.series.barsInLogicalRange(logical)
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if (barsInfo) window.callbackFunction(`range_change{chart.id}_~_${{barsInfo.barsBefore}};;;${{barsInfo.barsAfter}}`)
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setTimeout(() => {chart.id}.chart.timeScale().subscribeVisibleLogicalRangeChange(checkLogicalRange), 50)
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}}
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{chart.id}.chart.timeScale().subscribeVisibleLogicalRangeChange(checkLogicalRange)
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'''),
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wrapper=lambda o, c, *arg: o(c, *[float(a) for a in arg])
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)
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