d3py with numpy, pandas

gistfile1.txt

import d3py
import numpy as np
import pandas
T = 10
df = pandas.DataFrame({
    "time" : range(T),
    "pressure": np.random.rand(T),
    "temp" : np.random.rand(T)
})
print df
print 'df["pressure"] *= 100'
df['pressure'] *= 100
print df
df2 = pandas.DataFrame({'x': range(T)})
df3 = pow(df2['x'], 2)
print df3
#print df.to_csv('dog.csv')

## build up a figure, ggplot2 style
# instantiate the figure object
fig = d3py.Figure(df, name="index", width=800, height=600)
# add some red points
fig += d3py.geoms.Bar(x="time", y="temp",fill="red")
# writes 3 files, starts up a server, then draws some beautiful points in Chrome
#fig.show()