datasim.CategoryData

class datasim.CategoryData(world, data_x: ~typing.List[str] = [], data_y: ~typing.List[float] = [], plot_options: ~datasim.types.PlotOptions = <datasim.types.PlotOptions object>)

Data with named categories with float values.

__init__(world, data_x: ~typing.List[str] = [], data_y: ~typing.List[float] = [], plot_options: ~datasim.types.PlotOptions = <datasim.types.PlotOptions object>)

Create a data source from x as categories and y as float values.

Parameters:

• world – The World this data belongs to.

• data_x (List[str], optional) – labels. Defaults to [] to start with an empty data set.

• data_y (List[float], optional) – values for each label. Defaults to [] to start with an empty data set.

• plot_options (Optional[PlotOptions], optional) – Options for a plot. Defaults to default PlotOptions which means nothing will be plotted.

Methods

__init__(world[, data_x, data_y, plot_options])	Create a data source from x as categories and y as float values.
append(label, value)	Add a data point to this data set.

Attributes

dataset
set_index
labels
values
world
options