bokeh.models Interfacebokeh.models.annotationsbokeh.models.axesbokeh.models.callbacksbokeh.models.formattersbokeh.models.glyphsbokeh.models.gridsbokeh.models.map_plotsbokeh.models.mappersbokeh.models.markersbokeh.models.plotsbokeh.models.rangesbokeh.models.renderersbokeh.models.sourcesbokeh.models.tickersbokeh.models.toolsbokeh.models.widgetbokeh.models.widgets.buttonsbokeh.models.widgets.dialogsbokeh.models.widgets.groupsbokeh.models.widgets.iconsbokeh.models.widgets.inputsbokeh.models.widgets.layoutsbokeh.models.widgets.markupsbokeh.models.widgets.panelsbokeh.models.widgets.tablesbokeh.validation Package
bokeh.plotting Interfacebokeh.charts Interface
< lorenz | back to Gallery | iris_splom >
import numpy as np
from six.moves import zip
from bokeh.plotting import figure, show, output_file
N = 4000
x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = ["#%02x%02x%02x" % (r, g, 150) for r, g in zip(np.floor(50+2*x), np.floor(30+2*y))]
TOOLS="resize,crosshair,pan,wheel_zoom,box_zoom,reset,tap,previewsave,box_select,poly_select,lasso_select"
output_file("color_scatter.html", title="color_scatter.py example")
p = figure(tools=TOOLS)
p.scatter(x, y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None)
show(p)  # open a browser