I was asked off list how I created the little sparklines using Matplotlib.
There are two ways I create these:
To get the data to the browser in order to render the sparkline, you
will need some sort of mechanism similar to Ajax (or at least a form of
it) called Comet. There is a great tutorial on using orbited for this here
If any of you need more help doing that, I am happy to provide some
source code examples.
If instead, you want to create static line graphs using matplotlib such
as those on this page:
To render static sparklines I use the following matplot lib code:
def render_simple_line(sensors, resolution = 'hour', span = 1,
start=None, end=None, fig=None, column=0):
"""Builds a figure that shows the given sensors at the given
resolution and span in the given time period.
if fig is None:
axes = fig.add_axes([0.00,0.00,1.0,1.0], axisbg='w', frame_on=False)
if start is None:
start = datetime.datetime.now()
if end is None:
end = start + datetime.timedelta(days=1)
first_date = start.strftime('%Y-%m-%d')
last_date = end.strftime('%Y-%m-%d')
desc = [("mean", pk) for pk in sensors]
np_table = data_table_matrix(desc, resolution, first_date,
last_date, span )
#note that np_table is datetime objects and  is data
if np_table.size == 0:
#replace nulls with 0
np_table[1:][np_table[1:] == np.array([None])] = 0
#replace -ve values
np_table[1:][np_table[1:] < np.array()] = 0
base = np.zeros(np_table.shape)
color = color_list[column % len(color_list)]
axes.fill_between(np_table, base, np_table[column + 1], facecolor
I pass fig in so it is easy to pass a figure from the ipython console,
since ipython makes special figures that are interactive.
PS: Dan - I replied to your email directly but it bounced.