portfolio_toolkit.plot.scatter_plot_data module

class portfolio_toolkit.plot.scatter_plot_data.ScatterPlotData(title: str, grid: bool = True, figsize: tuple = (10, 6), x_data: ~typing.List[float] = <factory>, y_data: ~typing.List[float] = <factory>, labels: ~typing.List[str] | None = None, xlabel: str = 'X Axis', ylabel: str = 'Y Axis', colors: ~typing.List[str] | None = None, sizes: ~typing.List[float] | None = None, alpha: float = 0.7)

Bases: PlotBase

Data structure for scatter plots

x_data: List[float]

y_data: List[float]

labels: List[str] | None = None

xlabel: str = 'X Axis'

ylabel: str = 'Y Axis'

colors: List[str] | None = None

sizes: List[float] | None = None

alpha: float = 0.7

get_plot_type() → str

Return the type of plot

validate() → bool

Validate that data is consistent

__init__(title: str, grid: bool = True, figsize: tuple = (10, 6), x_data: ~typing.List[float] = <factory>, y_data: ~typing.List[float] = <factory>, labels: ~typing.List[str] | None = None, xlabel: str = 'X Axis', ylabel: str = 'Y Axis', colors: ~typing.List[str] | None = None, sizes: ~typing.List[float] | None = None, alpha: float = 0.7) → None

title: str