Source code for plotnine.scales.scale_alpha

from warnings import warn

import numpy as np

from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale_continuous import scale_continuous
from .scale_datetime import scale_datetime
from .scale_discrete import scale_discrete


[docs]@document class scale_alpha(scale_continuous): """ Continuous Alpha Scale Parameters ---------- range : array_like Range ([Minimum, Maximum]) of output alpha values. Should be between 0 and 1. Default is ``(0.1, 1)`` {superclass_parameters} """ _aesthetics = ["alpha"] def __init__(self, range=(0.1, 1), **kwargs): from mizani.palettes import rescale_pal # TODO: fix types in mizani self.palette = rescale_pal(range) # pyright: ignore scale_continuous.__init__(self, **kwargs)
alias("scale_alpha_continuous", scale_alpha) @document class scale_alpha_ordinal(scale_discrete): """ Ordinal Alpha Scale Parameters ---------- range : array_like Range ([Minimum, Maximum]) of output alpha values. Should be between 0 and 1. Default is ``(0.1, 1)`` {superclass_parameters} """ _aesthetics = ["alpha"] def __init__(self, range=(0.1, 1), **kwargs): def palette(n): return np.linspace(range[0], range[1], n) self.palette = palette scale_discrete.__init__(self, **kwargs)
[docs]@document class scale_alpha_discrete(scale_alpha_ordinal): """ Discrete Alpha Scale Parameters ---------- {superclass_parameters} """ _aesthetics = ["alpha"] def __init__(self, **kwargs): warn( "Using alpha for a discrete variable is not advised.", PlotnineWarning, ) super().__init__(**kwargs)
[docs]@document class scale_alpha_datetime(scale_datetime): """ Datetime Alpha Scale Parameters ---------- range : array_like Range ([Minimum, Maximum]) of output alpha values. Should be between 0 and 1. Default is ``(0.1, 1)`` {superclass_parameters} """ _aesthetics = ["alpha"] def __init__(self, range=(0.1, 1), **kwargs): from mizani.palettes import rescale_pal # TODO: fix types in mizani self.palette = rescale_pal(range) # pyright: ignore scale_datetime.__init__(self, **kwargs)