theme_glyphs

This example shows how to create and use your custom theme in a Bokeh plot with JSON.

Details

Bokeh APIs:

bokeh.themes.Theme

More info:

Creating custom themes

Keywords:

theme

import numpy as np

from bokeh.core.properties import value
from bokeh.io import curdoc, show
from bokeh.models import (BasicTicker, BasicTickFormatter, ColumnDataSource, Ellipse,
                          HBar, Line, LinearAxis, Plot, Scatter, Text, Title)
from bokeh.themes import Theme
from bokeh.transform import dodge

theme_json = {
    "attrs": {
        "Plot": {"width": 400, "height": 400, "background_fill_color": "#eeeeee"},
        "Grid": {"visible": False},
        "Title": {"text": "Demo of Themes"},
        "LinearAxis": {
            "axis_line_color": "#ffffff",
            "major_tick_line_color": "#ffffff",
            "axis_label_text_font_size": "10pt",
            "axis_label_text_font_style": "bold",
        },
        "LineGlyph": {"line_color": "#ee33ee", "line_width": 2},
        "FillGlyph": {"fill_color": "orange"},
        "HatchGlyph": {"hatch_pattern": "@", "hatch_alpha": 0.8},
        "TextGlyph": {
            "text_color": "red",
            "text_font_style": "bold",
            "text_font": value("Helvetica"), # specify this is a Value and not a Field
        },
        "Ellipse": {"fill_color": "green", "line_color": "yellow", "fill_alpha": 0.2},
    },
}

curdoc().theme = Theme(json=theme_json)

x = np.linspace(1, 5, 100)
y = x + np.sin((x - 1) * np.pi)
x2 = np.linspace(1.5, 5.5, 5)
z = x2 + 2 * np.cos((x2 - 1) * np.pi)

source1 = ColumnDataSource({"x": [1, 2, 3, 4, 5], "y": [1, 2, 3, 4, 5], "who": ["a", "b", "c", "d", "e"]})
source2 = ColumnDataSource({"x": x, "y": y})
source3 = ColumnDataSource({"x": x2, "y": z})
source4 = ColumnDataSource({"y": [2.5], "x": [0.5]})

plot = Plot(width=300, height=300)
plot.title = Title(text="Themed glyphs")

xaxis = LinearAxis(ticker=BasicTicker(), formatter=BasicTickFormatter())
yaxis = LinearAxis(ticker=BasicTicker(), formatter=BasicTickFormatter())
plot.add_layout(xaxis, "below")
plot.add_layout(yaxis, "left")

plot.add_glyph(source1, Scatter(x="x", y="y", marker="diamond", size=20))
plot.add_glyph(source1, Text(x=dodge("x", -0.2), y=dodge("y", 0.1), text="who"))
plot.add_glyph(source2, Line(x="x", y="y"))
plot.add_glyph(source3, Ellipse(x="x", y="y", width=0.2, height=0.3, angle=-0.7))
plot.add_glyph(source4, glyph=HBar(y="y", right="x", height=1.5))

show(plot)