Interactive Data Visualization with Bokeh
George Boorman
Core Curriculum Manager, DataCamp
crosshair
hover
from bokeh.models import ColumnDataSource
source = ColumnDataSource(data=nba)
fig = figure(x_axis_label="Minutes Played", y_axis_label="Points Per Game")
fig.circle(x="assists", y="points", source=source)
output_file(filename="ColumnDataSource.html") show(fig)
from bokeh.models import ColumnDataSource source = ColumnDataSource(data=nba)
TOOLTIPS = [("Name", "@player"), ("Team", "@team")]
fig = figure(x_axis_label="Assists", y_axis_label="Points",
tooltips=TOOLTIPS)
fig.circle(x="assists", y="points", source=source) output_file("name_and_team.html") show(fig)
TOOLTIPS = [("Name", "@player"), ("Team", "@team"),
("Points", "@points"), ("Assists", "@assists")]
fig = figure(x_axis_label="Assists", y_axis_label="Points", tooltips=TOOLTIPS) fig.circle(x="assists", y="points", source=source) output_file("hovertool.html") show(fig)
TOOLTIPS = [("Name", "@player"), ("Team", "@team"),
("Points", "@points{0.2f}"), ("Assists", "@assists{0.2f}")]
fig = figure(x_axis_label="Assists", y_axis_label="Points", tooltips=TOOLTIPS) fig.circle(x="assists", y="points", source=source) output_file("formatted_hovertool.html") show(fig)
Interactive Data Visualization with Bokeh