Sector color

Sectors are colored with the colors argument.

Color sectors with numerical values.

import plotly
import ptvis


elements = list(ptvis.Element) * 2
atomic_numbers = (
    [element.value for element in ptvis.Element]
    + [element.value + 50 for element in ptvis.Element]
)

fig = plotly.graph_objects.Figure()
ptvis.attach_pie_cells(fig, elements, colors=atomic_numbers)

plotly.io.show(fig)

Color sectors with non-numerical values.

import plotly
import ptvis


elements = list(ptvis.Element) * 2
initials = (
    [element.name[0] for element in ptvis.Element]
    + [element.name[0].lower() for element in ptvis.Element]
)

fig = plotly.graph_objects.Figure()
ptvis.attach_pie_cells(fig, elements, colors=initials)

plotly.io.show(fig)

Conversion from values to colors

By default, a conversion from the colors argument to colors is defined by the ptvis.color.ContinuousColorConversion class for numerical values and by the ptvis.color.CategoricalColorConversion class for non-numerical values. The conversion can be changed by the color_conversion argument. For example, numerical values can be treated as categories.

import plotly
import ptvis.color


elements = list(ptvis.Element) * 2
atomic_numbers = (
    [element.value for element in ptvis.Element]
    + [element.value + 55 for element in ptvis.Element]
)

fig = plotly.graph_objects.Figure()
ptvis.attach_pie_cells(
    fig,
    elements,
    colors=atomic_numbers,
    color_conversion=ptvis.color.CategoricalColorConversion(),
)

plotly.io.show(fig)

See the tutorial on the color conversion for more details.

Color guide

A color guide is shown by giving its attributes to the color_guide argument. The kind of color guide is determined by the color conversion.

A color scale is shown for a conversion from numerical values. Attributes of the plotly.graph_objects.scatter.marker.ColorBar are valid.

import plotly
import ptvis


elements = list(ptvis.Element) * 2
atomic_numbers = (
    [element.value for element in ptvis.Element]
    + [element.value + 55 for element in ptvis.Element]
)

fig = plotly.graph_objects.Figure()
ptvis.attach_pie_cells(
    fig,
    elements,
    colors=atomic_numbers,
    color_guide={
        "outlinewidth": 0,
        "ticks": "outside",
    },
)

plotly.io.show(fig)

A legend is shown for a conversion from categories. Attributes of the plotly.graph_objects.scatter.Marker are valid.

import plotly
import ptvis


elements = list(ptvis.Element) * 2
initials = (
    [element.name[0] for element in ptvis.Element]
    + [element.name[0].lower() for element in ptvis.Element]
)

fig = plotly.graph_objects.Figure()
ptvis.attach_pie_cells(
    fig,
    elements,
    colors=initials,
    color_guide={
        "size": 12,
        "symbol": "square",
    },
)

plotly.io.show(fig)