from bokeh.plotting import *

output_notebook()

from numpy import *
x = linspace(-6, 6, 100)
y = cos(x)

circle(x, y, color="red", plot_width=500, plot_height=500)
show()

from bokeh.sampledata.autompg import autompg
grouped = autompg.groupby("yr")
mpg = grouped["mpg"]
avg = mpg.mean()
std = mpg.std()
years = asarray(grouped.groups.keys())
american = autompg[autompg["origin"]==1]
japanese = autompg[autompg["origin"]==3]

hold(True)
figure()
quad(left=years-0.4, right=years+0.4, bottom=avg-std, top=avg+std, 
     fill_alpha=0.4)
circle(x=asarray(japanese["yr"]), y=asarray(japanese["mpg"]), 
       size=8,
       alpha=0.4, line_color="red", fill_color=None, line_width=2)
triangle(x=asarray(american["yr"]), y=asarray(american["mpg"]),
         size=8, alpha=0.4, line_color="blue", fill_color=None,
         line_width=2)
hold(False)
show()

output_notebook()
source = ColumnDataSource(autompg.to_dict("list"))
source.add(autompg["yr"], name="yr")
plot_config = dict(plot_width=400, plot_height=400, tools="pan,wheel_zoom,box_zoom,select")
gridplot([[
  circle("yr", "mpg", color="blue", title="MPG by Year",
         source=source, **plot_config),
  circle("hp", "displ", color="green", title="HP vs. Displacement",
         source=source, **plot_config),
  circle("mpg", "displ", size="cyl", line_color="red", title="MPG vs. Displacement",
         fill_color=None, source=source, **plot_config)
  ]])
show()

output_file("barplot.html")
hold(True)
figure()
quad(left=years-0.4, right=years+0.4, bottom=avg-std, top=avg+std, 
     fill_alpha=0.4)
circle(x=asarray(japanese["yr"]), y=asarray(japanese["mpg"]), 
       size=8,
       alpha=0.4, line_color="red", fill_color=None, line_width=2)
triangle(x=asarray(american["yr"]), y=asarray(american["mpg"]),
         size=8, alpha=0.4, line_color="blue", fill_color=None,
         line_width=2)
hold(False)
show()
output_notebook()  # Set bokeh back to notebook output mode

from IPython.display import IFrame
IFrame("http://jsfiddle.net/3VNuN/4/embedded/result%2Cjs/", 800, 400)