filtering#

A map representation of unemployment rate in US using the US_States Dataset. This example demonstrates using IndexFilter, ColorMapper and HoverTool with basic plot elements such as patches. When hovering over the points, the state and its umemployment rate is shown.

Details

Sampledata:: bokeh.sampledata.US_States
Bokeh APIs:: bokeh.models.IndexFilter, bokeh.models.HoverTool, bokeh.models.LinearColorMapper
More info:: Patches, IndexFilter
Keywords:: hover tool, indexfilter, filtering, US

from bokeh.core.properties import field
from bokeh.models import ColorBar, HoverTool, IndexFilter, LinearColorMapper
from bokeh.palettes import Viridis11
from bokeh.plotting import figure, show
from bokeh.sampledata.us_states import data as states

january_2021 = dict(
    AL= 4.0, AK= 7.1, AZ= 6.1, AR= 4.9, CA= 8.8, CO= 6.2, CT= 7.3, DE= 5.7, DC= 6.9, FL= 6.0,
    GA= 4.8, HI= 8.3, ID= 4.0, IL= 7.1, IN= 4.5, IA= 4.4, KS= 3.8, KY= 4.8, LA= 6.5, ME= 5.2,
    MD= 5.9, MA= 7.1, MI= 6.4, MN= 4.2, MS= 6.6, MO= 5.0, MT= 3.8, NE= 2.7, NV=10.2, NH= 4.2,
    NJ= 7.3, NM= 7.4, NY= 8.6, NC= 5.5, ND= 4.7, OH= 6.0, OK= 5.0, OR= 6.4, PA= 7.5, RI= 6.3,
    SC= 4.6, SD= 3.3, TN= 5.2, TX= 6.7, UT= 3.3, VT= 3.9, VA= 4.8, WA= 6.3, WV= 5.9, WI= 4.5,
    WY= 5.1,
)

state_xs = [states[code]["lons"] for code in states]
state_ys = [states[code]["lats"] for code in states]

p = figure(
    title="US unemployment January 2021 (by state)",
    width=1000, height=600,
    x_axis_location=None, y_axis_location=None,
    tools="pan,wheel_zoom,reset",
)
p.grid.grid_line_color = None

color_mapper = LinearColorMapper(palette=Viridis11)
r = p.patches(
    state_xs, state_ys,
    line_color="white", hover_line_color="black",
    fill_color=field("rate", color_mapper),
)

r.data_source.data["code"] = [ code for code in states ]
r.data_source.data["rate"] = [ january_2021[code] for code in states ]

HI_i = list(states.keys()).index("HI")
AK_i = list(states.keys()).index("AK")

filter = ~IndexFilter(indices=[HI_i, AK_i])
r.view.filter &= filter

p.add_tools(HoverTool(
    tooltips=[("state", "@code"), ("rate", "@rate{0.0}%")],
    renderers=[r],
))

p.add_layout(ColorBar(
    color_mapper=color_mapper,
    location="bottom_right", orientation="vertical", height=200,
), "center")

show(p)