Add custom `.formatter` support to our `PriceAxis`
Allow passing in a formatter function for processing tick values on an axis. This makes it easy to for example, `piker.calc.humanize()` dollar volume on a subchart. Factor `set_min_tick()` into the `PriceAxis` since it's not used on any x-axis data thus far.overlayed_dvlm
parent
8911c3c8ed
commit
80079105fc
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@ -19,7 +19,7 @@ Chart axes graphics and behavior.
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"""
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"""
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from functools import partial
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from functools import partial
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from typing import List, Tuple, Optional
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from typing import List, Tuple, Optional, Callable
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from math import floor
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from math import floor
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import pandas as pd
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import pandas as pd
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@ -29,7 +29,6 @@ from PyQt5.QtCore import QPointF
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from ._style import DpiAwareFont, hcolor, _font
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from ._style import DpiAwareFont, hcolor, _font
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from ..data._source import float_digits
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from ..data._source import float_digits
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from ..calc import humanize
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_axis_pen = pg.mkPen(hcolor('bracket'))
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_axis_pen = pg.mkPen(hcolor('bracket'))
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@ -43,7 +42,6 @@ class Axis(pg.AxisItem):
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self,
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self,
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linkedsplits,
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linkedsplits,
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typical_max_str: str = '100 000.000',
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typical_max_str: str = '100 000.000',
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min_tick: int = 2,
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**kwargs
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**kwargs
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) -> None:
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) -> None:
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@ -53,7 +51,6 @@ class Axis(pg.AxisItem):
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# self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
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# self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
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self.linkedsplits = linkedsplits
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self.linkedsplits = linkedsplits
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self._min_tick = min_tick
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self._dpi_font = _font
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self._dpi_font = _font
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self.setTickFont(_font.font)
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self.setTickFont(_font.font)
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@ -84,9 +81,6 @@ class Axis(pg.AxisItem):
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def size_to_values(self) -> None:
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def size_to_values(self) -> None:
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pass
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pass
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def set_min_tick(self, size: int) -> None:
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self._min_tick = size
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def txt_offsets(self) -> Tuple[int, int]:
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def txt_offsets(self) -> Tuple[int, int]:
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return tuple(self.style['tickTextOffset'])
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return tuple(self.style['tickTextOffset'])
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@ -96,26 +90,34 @@ class PriceAxis(Axis):
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def __init__(
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def __init__(
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self,
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self,
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*args,
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*args,
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humanize: bool = True,
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min_tick: int = 2,
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digits: int = 2,
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formatter: Optional[Callable[[float], str]] = None,
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**kwargs
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**kwargs
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) -> None:
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) -> None:
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super().__init__(*args, **kwargs)
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super().__init__(*args, **kwargs)
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self.humanize = humanize
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self.formatter = formatter
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self.digits = digits
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self._min_tick: int = min_tick
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def set_min_tick(
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self,
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size: int
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) -> None:
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self._min_tick = size
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def size_to_values(self) -> None:
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def size_to_values(self) -> None:
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# self.typical_br = _font._qfm.boundingRect(typical_max_str)
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self.setWidth(self.typical_br.width())
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self.setWidth(self.typical_br.width())
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# XXX: drop for now since it just eats up h space
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# XXX: drop for now since it just eats up h space
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def tickStrings(
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def tickStrings(
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self,
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self,
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vals,
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vals: tuple[float],
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scale,
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scale: float,
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spacing,
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spacing: float,
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):
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) -> list[str]:
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# TODO: figure out how to enforce min tick spacing by passing it
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# TODO: figure out how to enforce min tick spacing by passing it
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# into the parent type
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# into the parent type
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digits = max(
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digits = max(
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@ -126,7 +128,7 @@ class PriceAxis(Axis):
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# print(f'vals: {vals}\nscale: {scale}\nspacing: {spacing}')
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# print(f'vals: {vals}\nscale: {scale}\nspacing: {spacing}')
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# print(f'digits: {digits}')
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# print(f'digits: {digits}')
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if not self.humanize:
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if not self.formatter:
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return [
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return [
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('{value:,.{digits}f}').format(
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('{value:,.{digits}f}').format(
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digits=digits,
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digits=digits,
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@ -134,7 +136,7 @@ class PriceAxis(Axis):
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).replace(',', ' ') for v in vals
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).replace(',', ' ') for v in vals
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]
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]
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else:
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else:
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return list(map(partial(humanize, digits=self.digits), vals))
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return list(map(self.formatter, vals))
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class DynamicDateAxis(Axis):
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class DynamicDateAxis(Axis):
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@ -154,6 +156,7 @@ class DynamicDateAxis(Axis):
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def _indexes_to_timestrs(
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def _indexes_to_timestrs(
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self,
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self,
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indexes: List[int],
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indexes: List[int],
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) -> List[str]:
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) -> List[str]:
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chart = self.linkedsplits.chart
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chart = self.linkedsplits.chart
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@ -183,9 +186,10 @@ class DynamicDateAxis(Axis):
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def tickStrings(
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def tickStrings(
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self,
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self,
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values: tuple[float],
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values: tuple[float],
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scale,
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scale: float,
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spacing,
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spacing: float,
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):
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) -> list[str]:
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# info = self.tickStrings.cache_info()
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# info = self.tickStrings.cache_info()
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# print(info)
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# print(info)
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return self._indexes_to_timestrs(values)
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return self._indexes_to_timestrs(values)
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