A Python module for fancy realtime plots.
This was built with financial time series in mind, but hopefully also serves other purposes.
Built on Matplotlib's FuncAnimation.
The single required argument for timeplot is a function f that returns a tuple (t, y1, ..., yn).
Here, t is a datetime timestamp and y1 through yn are numerical values.
This is also the place to plug in your own data stream, e.g. by polling ticks from an API.
A very simple example:
from datetime import datetime, timedelta
import numpy as np
from timeplot import timeplot
class MyTimeSeries:
""" A very simple time series.
Calling get_tick() returns a single (time, value) tuple. """
def __init__(self):
self.t = datetime.fromtimestamp(1521482712)
self.i = 0
def get_tick(self):
self.t += timedelta(seconds=1)
self.i += 1 / 10
return self.t, np.sin(self.i)
ts = MyTimeSeries()
timeplot(ts.get_tick, interval=40, update_style='cont')
# Also check out:
# timeplot(ts.get_tick, interval=40, update_style='jump')
See examples/multiple_lines.py for a slightly more sophisticated example.
There are a few additional parameters that can easily be changed to customize the plot layout; check out the inline information on the variables padding, colortheme, time_format and date_format for more information.
Also feel free to change features of the fig and ax objects inside the init() function.