Move plotitem overlaying into a `.overlay_plotitem()`
Tyler Goodlet
parent
d0693e2967
commit
ca9973e619
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@ -19,8 +19,6 @@ High level chart-widget apis.
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'''
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from __future__ import annotations
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from functools import partial
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from dataclasses import dataclass
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from typing import Optional
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from PyQt5 import QtCore, QtWidgets
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@ -383,8 +381,9 @@ class LinkedSplits(QWidget):
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style: str = 'bar',
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) -> 'ChartPlotWidget':
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'''Start up and show main (price) chart and all linked subcharts.
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) -> ChartPlotWidget:
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'''
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Start up and show main (price) chart and all linked subcharts.
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The data input struct array must include OHLC fields.
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@ -537,7 +536,7 @@ class LinkedSplits(QWidget):
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)
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self.cursor.contents_labels.add_label(
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cpw,
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'ohlc',
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name,
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anchor_at=('top', 'left'),
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update_func=ContentsLabel.update_from_ohlc,
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)
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@ -611,11 +610,11 @@ class LinkedSplits(QWidget):
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# import pydantic
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# class ArrayScene(pydantic.BaseModel):
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# class Graphics(pydantic.BaseModel):
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# '''
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# Data-AGGRegate: high level API onto multiple (categorized)
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# ``ShmArray``s with high level processing routines mostly for
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# graphics summary and display.
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# ``ShmArray``s with high level processing routines for
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# graphics computations and display.
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# '''
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# arrays: dict[str, np.ndarray] = {}
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@ -738,7 +737,7 @@ class ChartPlotWidget(pg.PlotWidget):
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self.default_view()
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self.cv.enable_auto_yrange()
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self.overlay: PlotItemOverlay = PlotItemOverlay(self.plotItem)
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self.pi_overlay: PlotItemOverlay = PlotItemOverlay(self.plotItem)
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def resume_all_feeds(self):
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for feed in self._feeds.values():
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@ -849,7 +848,7 @@ class ChartPlotWidget(pg.PlotWidget):
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# adds all bar/candle graphics objects for each data point in
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# the np array buffer to be drawn on next render cycle
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self.addItem(graphics)
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self.plotItem.addItem(graphics)
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# draw after to allow self.scene() to work...
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graphics.draw_from_data(data)
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@ -860,6 +859,57 @@ class ChartPlotWidget(pg.PlotWidget):
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return graphics, data_key
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def overlay_plotitem(
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self,
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name: str,
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) -> pg.PlotItem:
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# Custom viewbox impl
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cv = self.mk_vb(name)
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cv.chart = self
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# xaxis = DynamicDateAxis(
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# orientation='bottom',
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# linkedsplits=self.linked,
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# )
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yaxis = PriceAxis(
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orientation='right',
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linkedsplits=self.linked,
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)
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plotitem = pg.PlotItem(
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parent=self.plotItem,
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name=name,
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enableMenu=False,
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viewBox=cv,
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axisItems={
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# 'bottom': xaxis,
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'right': yaxis,
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},
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default_axes=[],
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)
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# plotitem.setAxisItems(
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# add_to_layout=False,
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# axisItems={
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# 'bottom': xaxis,
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# 'right': yaxis,
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# },
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# )
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# plotite.hideAxis('right')
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# plotite.hideAxis('bottom')
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# plotitem.addItem(curve)
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cv.enable_auto_yrange()
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# plotitem.enableAutoRange(axis='y')
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plotitem.hideButtons()
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self.pi_overlay.add_plotitem(
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plotitem,
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# only link x-axes,
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link_axes=(0,),
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)
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return plotitem
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def draw_curve(
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self,
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@ -868,7 +918,6 @@ class ChartPlotWidget(pg.PlotWidget):
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array_key: Optional[str] = None,
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overlay: bool = False,
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separate_axes: bool = False,
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color: Optional[str] = None,
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add_label: bool = True,
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@ -907,11 +956,11 @@ class ChartPlotWidget(pg.PlotWidget):
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**pdi_kwargs,
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)
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# XXX: see explanation for differenct caching modes:
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# XXX: see explanation for different caching modes:
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# https://stackoverflow.com/a/39410081
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# seems to only be useful if we don't re-generate the entire
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# QPainterPath every time
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# curve.curve.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
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# curve.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
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# don't ever use this - it's a colossal nightmare of artefacts
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# and is disastrous for performance.
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@ -921,83 +970,28 @@ class ChartPlotWidget(pg.PlotWidget):
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self._graphics[name] = curve
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self._arrays[data_key] = data
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pi = self.plotItem
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# TODO: this probably needs its own method?
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if overlay:
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# anchor_at = ('bottom', 'left')
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self._overlays[name] = None
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if separate_axes:
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if isinstance(overlay, pg.PlotItem):
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if overlay not in self.pi_overlay.overlays:
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raise RuntimeError(
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f'{overlay} must be from `.plotitem_overlay()`'
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)
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pi = overlay
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# Custom viewbox impl
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cv = self.mk_vb(name)
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def maxmin():
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return self.maxmin(name=data_key)
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# ensure view maxmin is computed from correct array
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# cv._maxmin = partial(self.maxmin, name=data_key)
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cv._maxmin = maxmin
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cv.chart = self
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# xaxis = DynamicDateAxis(
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# orientation='bottom',
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# linkedsplits=self.linked,
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# )
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yaxis = PriceAxis(
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orientation='right',
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linkedsplits=self.linked,
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)
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plotitem = pg.PlotItem(
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parent=self.plotItem,
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name=name,
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enableMenu=False,
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viewBox=cv,
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axisItems={
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# 'bottom': xaxis,
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'right': yaxis,
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},
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default_axes=[],
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)
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# plotitem.setAxisItems(
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# add_to_layout=False,
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# axisItems={
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# 'bottom': xaxis,
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# 'right': yaxis,
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# },
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# )
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# plotite.hideAxis('right')
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# plotite.hideAxis('bottom')
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plotitem.addItem(curve)
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cv.enable_auto_yrange()
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# config
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# plotitem.setAutoVisible(y=True)
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# plotitem.enableAutoRange(axis='y')
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plotitem.hideButtons()
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self.overlay.add_plotitem(
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plotitem,
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# only link x-axes,
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link_axes=(0,),
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)
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else:
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# this intnernally calls `PlotItem.addItem()` on the
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# graphics object
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self.addItem(curve)
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else:
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# this intnernally calls `PlotItem.addItem()` on the
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# graphics object
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self.addItem(curve)
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# anchor_at = ('top', 'left')
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# TODO: something instead of stickies for overlays
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# (we need something that avoids clutter on x-axis).
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self._add_sticky(name, bg_color=color)
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pi.addItem(curve)
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return curve, data_key
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# TODO: make this a ctx mngr
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@ -1036,7 +1030,8 @@ class ChartPlotWidget(pg.PlotWidget):
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**kwargs,
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) -> pg.GraphicsObject:
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'''Update the named internal graphics from ``array``.
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'''
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Update the named internal graphics from ``array``.
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'''
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self._arrays[self.name] = array
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@ -1053,7 +1048,8 @@ class ChartPlotWidget(pg.PlotWidget):
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**kwargs,
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) -> pg.GraphicsObject:
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'''Update the named internal graphics from ``array``.
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'''
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Update the named internal graphics from ``array``.
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'''
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assert len(array)
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@ -1123,7 +1119,7 @@ class ChartPlotWidget(pg.PlotWidget):
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def get_index(self, time: float) -> int:
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# TODO: this should go onto some sort of
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# data-view strimg thinger..right?
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# data-view thinger..right?
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ohlc = self._shm.array
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# XXX: not sure why the time is so off here
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@ -1178,15 +1174,9 @@ class ChartPlotWidget(pg.PlotWidget):
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yhigh = np.nanmax(bars['high'])
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else:
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try:
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view = bars[name or self.data_key]
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except:
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breakpoint()
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# if self.data_key != 'volume':
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# else:
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# view = bars
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view = bars[name or self.data_key]
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ylow = np.nanmin(view)
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yhigh = np.nanmax(view)
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# print(f'{(ylow, yhigh)}')
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# print(f'{(ylow, yhigh)}')
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return ylow, yhigh
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