class HeatSeries(DataSeries[tuple]):
"""Adds a heat series to a plot."""
_update_func = dpgcore.add_heat_series
_data_keywords = 'values'
values: MutableSequence[float] = DataSeriesField()
rows: int = DataSeriesConfig()
columns: int = DataSeriesConfig()
scale_min: float = DataSeriesConfig()
scale_max: float = DataSeriesConfig()
format: str = DataSeriesConfig()
bounds_min: Tuple[float, float]
bounds_max: Tuple[float, float]
@DataSeriesConfig(key='bounds_min')
def bounds_min(self, config) -> Tuple[float, float]:
return tuple(config)
@DataSeriesConfig(key='bounds_max')
def bounds_max(self, config) -> Tuple[float, float]:
return tuple(config)
def __init__(self, label: str, values: Iterable[float], rows: int,
columns: int, scale_min: float, scale_max: float,
**config: Any):
values = ((v, ) for v in values)
super().__init__(label,
values,
rows=rows,
columns=columns,
scale_min=scale_min,
scale_max=scale_max,
**config)
class BarSeries(DataSeries[XYData]):
"""Adds a bar series to a plot."""
_update_func = dpgcore.add_bar_series
_create_record = XYData
_data_keywords = 'x y'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
weight: float = DataSeriesConfig()
horizontal: bool = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class StemSeries(DataSeries[XYData]):
"""Add a stem series to a plot."""
_update_func = dpgcore.add_stem_series
_create_record = XYData
_data_keywords = 'x y'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
marker: PlotMarker = DataSeriesConfigMarker()
size: float = DataSeriesConfig()
weight: float = DataSeriesConfig()
outline: ColorRGBA = DataSeriesConfigColorRGBA()
fill: ColorRGBA = DataSeriesConfigColorRGBA()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class ScatterSeries(DataSeries[XYData]):
"""Adds a scatter series to a plot."""
__update_func__ = dpgcore.add_scatter_series
__create_record__ = XYData
__data_keywords__ = 'x y'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
marker: PlotMarker = DataSeriesConfigMarker()
size: float = DataSeriesConfig()
weight: float = DataSeriesConfig()
outline: ColorRGBA = DataSeriesConfigColorRGBA()
fill: ColorRGBA = DataSeriesConfigColorRGBA()
xy_data_format: bool = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class CandleSeries(DataSeries[CandleSeriesData]):
"""Adds a candle series to a plot."""
_update_func = dpgcore.add_candle_series
_create_record = CandleSeriesData
_data_keywords = 'date opens highs lows closes'
date: MutableSequence[float] = DataSeriesField()
opens: MutableSequence[float] = DataSeriesField()
highs: MutableSequence[float] = DataSeriesField()
lows: MutableSequence[float] = DataSeriesField()
closes: MutableSequence[float] = DataSeriesField()
tooltip: bool = DataSeriesConfig()
bull_color: ColorRGBA = DataSeriesConfigColorRGBA()
bear_color: ColorRGBA = DataSeriesConfigColorRGBA()
weight: float = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class VLineSeries(DataSeries[tuple]):
"""Adds an infinite vertical line series to a plot."""
_update_func = dpgcore.add_vline_series
_data_keywords = 'x'
x: MutableSequence[float] = DataSeriesField()
color: ColorRGBA = DataSeriesConfigColorRGBA()
weight: float = DataSeriesConfig()
def __init__(self, label: str, x: Iterable[float], **config: Any):
super().__init__(label, ((v, ) for v in x), **config)
class StairSeries(DataSeries[XYData]):
"""Add a stair series to a plot."""
_update_func = dpgcore.add_stair_series
_create_record = XYData
_data_keywords = 'x y'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
color: ColorRGBA = DataSeriesConfigColorRGBA()
weight: float = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class SingleShadeSeries(DataSeries[XYData]):
"""Adds a single-sided shade series to a plot."""
_update_func = dpgcore.add_scatter_series
_create_record = XYData
_data_keywords = 'x y1'
x: MutableSequence[float] = DataSeriesField()
y1: MutableSequence[float] = DataSeriesField()
color: ColorRGBA = DataSeriesConfigColorRGBA()
fill: ColorRGBA = DataSeriesConfigColorRGBA()
weight: float = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class ErrorSeries(DataSeries[ErrorSeriesData]):
"""Adds an error series to a plot."""
_update_func = dpgcore.add_error_series
_create_record = ErrorSeriesData
_data_keywords = 'x y negative positive'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
negative: MutableSequence[float] = DataSeriesField()
positive: MutableSequence[float] = DataSeriesField()
horizontal: bool = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], **config: Any):
super().__init__(label, data, **config)
class AreaSeries(DataSeries[XYData]):
"""Adds an area series to a plot."""
__update_func__ = dpgcore.add_area_series
__create_record__ = XYData
__data_keywords__ = 'x y'
x: MutableSequence[float] = DataSeriesField()
y: MutableSequence[float] = DataSeriesField()
color: ColorRGBA = DataSeriesConfigColorRGBA()
fill: ColorRGBA = DataSeriesConfigColorRGBA()
weight: float = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], color: ColorRGBA,
fill: ColorRGBA, **config: Any):
super().__init__(label, data, color=color, fill=fill, **config)
class PieSeries(DataSeries[PieSeriesData]):
"""Adds a pie chart to a plot."""
_update_func = dpgcore.add_pie_series
_create_record = PieSeriesData
_data_keywords = 'values labels'
values: MutableSequence[float] = DataSeriesField()
labels: MutableSequence[str] = DataSeriesField()
x: float = DataSeriesConfig()
y: float = DataSeriesConfig()
radius: float = DataSeriesConfig()
normalize: bool = DataSeriesConfig()
angle: bool = DataSeriesConfig()
format: str = DataSeriesConfig()
def __init__(self, label: str, data: Iterable[Any], x: float, y: float,
radius: float, **config: Any):
super().__init__(label, data, x=x, y=y, radius=radius, **config)
