On Tue, Dec 20, 2011 at 8:00 AM, Nils Wagner
<nwag...@iam.uni-stuttgart.de> wrote:
> Hi all,
>
> How do I use animation.FuncAnimation to plot real-life
> data from parsing a text file ?
Here's a version that does what I think you want:
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import sys
import time
import re
x_data = [] # x
y_data = [] # y
fig = plt.figure()
ax = fig.add_subplot(111)
curve,= ax.plot([],[],lw=2)
ax.set_xlim(0,5)
ax.set_ylim(0,25)
ax.grid()
def tail_f(file):
while True:
where = file.tell() # current file position, an integer (may
be a long integer).
line = file.readline()
if re.search('without errors',line): break
# Always yield the line so that we return back to the event loop. If we
# need to go back and read again, we'll get a free delay from the
# animation system.
yield line
if not line:
file.seek(where) # seek(offset[, whence]) ->None. Move to
new file position.
def run(line, curve, x, y):
if re.search('x=',line):
liste = line.split('=')
x.append(liste[1].strip())
if re.search('y=',line):
liste = line.split('=')
y.append(liste[1].strip())
curve.set_data(x,y)
print x,y
return curve
# The passed in frames can be a func that returns a generator. This
# generator keeps return "frame data"
def data_source(fname=sys.argv[1]):
return tail_f(open(fname))
# This init function initializes for drawing returns any initialized
# artists.
def init():
curve.set_data([],[])
return curve
line_ani = animation.FuncAnimation(fig, run, data_source, init_func=init,
fargs=(curve,x_data,y_data), interval=100)
plt.show()
Ben was also right in that you could subclass FuncAnimation and
override/extend methods. This would have the benefit of giving more
control over the handling of seek(). (Something else for my todo
list...)
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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