def main(args):
if len(args) < 2:
print "Usage: python %s {file1 file2 file3 ...}" % (args[0])
exit()
'''
Sort is not the best way to go, since it doesn't account for
month increments. Anyway, this can be easily corrected by renaming
the output file after the merging process finishes.
'''
filename_list = list(set(args[1:]))
filename_list.sort()
if not filename_list:
print "No filenames provided"
exit()
dir_index = filename_list[0].rfind(
os.sep, 0, -1) # os.sep is the folder separator (e.g. "/")
ext_index = filename_list[0].rfind('.', dir_index, -1)
output_filename = "%s%s_to_%s.gz" % (
filename_list[0][:dir_index + 1],
filename_list[0][dir_index + 1:ext_index],
filename_list[-1][dir_index + 1:ext_index])
files = []
output_file = open_file(output_filename, "w")
try:
for filename in filename_list:
files.append(open_file(filename))
readings = []
'''
Initialize readings vector
'''
for f in files:
if file:
parsed_line = parse_line(f.readline())
if parsed_line:
readings.append((f, parsed_line))
while len(readings) > 0:
readings.sort(key=get_timestamp)
earliest = readings[0]
output_file.write("%f %s\n" %
(earliest[1][0], " ".join(earliest[1][1:])))
parsed_line = parse_line(earliest[0].readline())
if parsed_line and earliest[0]:
readings[0] = (earliest[0], parsed_line)
else:
readings.pop(0)
finally:
if output_file:
output_file.close()
if files:
for f in files:
if f:
f.close()
def main(args):
if len(args) < 2:
print "Usage: python %s {file1 file2 file3 ...}" % (args[0])
exit()
'''
Sort is not the best way to go, since it doesn't account for
month increments. Anyway, this can be easily corrected by renaming
the output file after the merging process finishes.
'''
filename_list = list(set(args[1:]))
filename_list.sort()
if not filename_list:
print "No filenames provided"
exit()
dir_index = filename_list[0].rfind(os.sep, 0, -1) # os.sep is the folder separator (e.g. "/")
ext_index = filename_list[0].rfind('.', dir_index, -1)
output_filename = "%s%s_to_%s.gz" % (filename_list[0][:dir_index+1], filename_list[0][dir_index+1:ext_index], filename_list[-1][dir_index+1:ext_index])
files = []
output_file = open_file(output_filename, "w")
try:
for filename in filename_list:
files.append(open_file(filename))
readings = []
'''
Initialize readings vector
'''
for f in files:
if file:
parsed_line = parse_line(f.readline())
if parsed_line:
readings.append((f, parsed_line))
while len(readings) > 0:
readings.sort(key=get_timestamp)
earliest = readings[0]
output_file.write("%f %s\n" % (earliest[1][0], " ".join(earliest[1][1:])))
parsed_line = parse_line(earliest[0].readline())
if parsed_line and earliest[0]:
readings[0] = (earliest[0], parsed_line)
else:
readings.pop(0)
finally:
if output_file:
output_file.close()
if files:
for f in files:
if f:
f.close()
def read_intervals(input_filename, motes_to_ignore, max_latency):
motes = {}
if not input_filename:
f = sys.stdin
if f.closed:
return motes
else:
f = open_file(input_filename, "r")
try:
for line in f:
timestamp, mote_id, counter, temperature = parse_line(line)
if mote_id not in motes_to_ignore:
mote = motes.get(mote_id, None)
if mote is None:
motes[mote_id] = [[timestamp, timestamp]]
if motes[mote_id][-1][1] - motes[mote_id][-1][0] > max_latency:
'''
Close the interval
'''
motes[mote_id].append([timestamp, timestamp])
else:
'''
Update the end of the last interval
'''
motes[mote_id][-1][1] = timestamp
finally:
if f:
f.close()
find_small_intervals(motes)
return motes.values()
def read_latencies(input_filename, discard=20*60):
'''
@param discard: number of seconds to discard out of the experiment beginning
'''
motes = {}
discard_time = 0
f = open_file(input_filename)
try:
for line in f:
timestamp, mote_id, counter, temperature = parse_line(line)
if not discard_time:
discard_time = timestamp + discard
if timestamp >= discard_time:
mote = motes.get(mote_id, None)
if mote is None:
mote = {"last_timestamp": timestamp, "latencies": []}
motes[mote_id] = mote
else:
latency = timestamp - mote["last_timestamp"]
mote["latencies"].append(latency)
mote["last_timestamp"] = timestamp
finally:
if f:
f.close()
return motes
def main(args):
if len(args) < 3:
print "Usage: python %s {filename} {start} {end} [-t: range is a timestamp (default is line numbers)]" % (args[0])
exit()
filename = args[1]
timestamp_mode = '-t' in args
if timestamp_mode:
range_start = float(args[2])
range_end = float(args[3])
else:
range_start = int(args[2])
range_end = int(args[3])
f = open_file(filename)
try:
line_count = 0
for line in f:
if timestamp_mode:
timestamp, mote_id, counter, temperature = parse_line(line) #@UnusedVariable
if timestamp > range_end:
break
if timestamp >= range_start:
print line,
else:
if line_count > range_end:
break
if line_count >= range_start:
print line,
line_count += 1
finally:
if f:
f.close()
def read_latencies(input_filename, discard=20 * 60):
'''
@param discard: number of seconds to discard out of the experiment beginning
'''
motes = {}
discard_time = 0
f = open_file(input_filename)
try:
for line in f:
timestamp, mote_id, counter, temperature = parse_line(line)
if not discard_time:
discard_time = timestamp + discard
if timestamp >= discard_time:
mote = motes.get(mote_id, None)
if mote is None:
mote = {"last_timestamp": timestamp, "latencies": []}
motes[mote_id] = mote
else:
latency = timestamp - mote["last_timestamp"]
mote["latencies"].append(latency)
mote["last_timestamp"] = timestamp
finally:
if f:
f.close()
return motes
def main(args):
if len(args) < 3:
print "Usage: python %s {filename} {start} {end} [-t: range is a timestamp (default is line numbers)]" % (
args[0])
exit()
filename = args[1]
timestamp_mode = '-t' in args
if timestamp_mode:
range_start = float(args[2])
range_end = float(args[3])
else:
range_start = int(args[2])
range_end = int(args[3])
f = open_file(filename)
try:
line_count = 0
for line in f:
if timestamp_mode:
timestamp, mote_id, counter, temperature = parse_line(
line) #@UnusedVariable
if timestamp > range_end:
break
if timestamp >= range_start:
print line,
else:
if line_count > range_end:
break
if line_count >= range_start:
print line,
line_count += 1
finally:
if f:
f.close()
def main(args):
if len(args) < 2:
print 'Usage: python %s {input file path}' % (args[0])
exit()
input_file_path = args[1]
output_file_path = "%s.filled.gz" % (input_file_path)
#output_file_path = "%s.filled" % (input_file_path)
input_file = open_file(input_file_path, 'r')
output_file = open_file(output_file_path, "w")
try:
motes = {} # holds last reading for each mote
for line in input_file:
timestamp, mote_id, counter, temperature = parse_line(line)
mote = motes.get(mote_id, None)
if mote is not None:
prev_timestamp, prev_line = mote
if timestamp < prev_timestamp:
print "Timestamps out of order: %f > %f" % (prev_timestamp,
timestamp)
exit()
time_delta = timestamp - (prev_timestamp + TIME_RESOLUTION)
while time_delta > MAX_TIME_DELTA:
# needs to fill data
prev_timestamp += TIME_RESOLUTION
time_delta -= TIME_RESOLUTION
output_file.write("%f %s" % (prev_timestamp, prev_line))
motes[mote_id] = (timestamp, line[line.index(" ") + 1:]
) # line minus the timestamp
# writes original data
output_file.write(line)
finally:
if input_file:
input_file.close()
if output_file:
output_file.close()
def main(args):
if len(args) < 2:
print 'Usage: python %s {input file path}' % (args[0])
exit()
input_file_path = args[1]
output_file_path = "%s.filled.gz" % (input_file_path)
#output_file_path = "%s.filled" % (input_file_path)
input_file = open_file(input_file_path, 'r')
output_file = open_file(output_file_path, "w")
try:
motes = {} # holds last reading for each mote
for line in input_file:
timestamp, mote_id, counter, temperature = parse_line(line)
mote = motes.get(mote_id, None)
if mote is not None:
prev_timestamp, prev_line = mote
if timestamp < prev_timestamp:
print "Timestamps out of order: %f > %f" % (prev_timestamp, timestamp)
exit()
time_delta = timestamp - (prev_timestamp + TIME_RESOLUTION)
while time_delta > MAX_TIME_DELTA:
# needs to fill data
prev_timestamp += TIME_RESOLUTION
time_delta -= TIME_RESOLUTION
output_file.write("%f %s" % (prev_timestamp, prev_line))
motes[mote_id] = (timestamp, line[line.index(" ") + 1:]) # line minus the timestamp
# writes original data
output_file.write(line)
finally:
if input_file:
input_file.close()
if output_file:
output_file.close()
def _parse_arff_header(self):
attributes = []
if not self.fp:
self.fp = open_file(self.filename)
for line in iter(self.fp):
if line.startswith("@data"):
break
elif line.startswith("@attribute"):
attr_name = line.split()[1]
attributes.append(attr_name)
if "timestamp" not in attributes and self.auto_timestamps:
attributes.insert(0, "timestamp")
self.use_auto_timestamps = True
return attributes
def main(args):
if len(args) < 2:
print "Usage: python %s {input filename}" % (args[0])
return
input_path = args[1]
input_filename = os.path.basename(input_path)
"""
Create folder based on the filename
"""
dot_index = input_filename.find(".")
if dot_index < 0:
dot_index = len(input_filename)
dir_path = os.path.join(os.path.dirname(input_path), input_filename[:dot_index])
if not os.path.exists(dir_path):
os.makedirs(dir_path)
output_files = {} # dict that maps mote_ids into files
input_file = open_file(input_path, "r")
try:
for line in input_file:
timestamp, mote_id, counter, value = parse_line(line) #@UnusedVariable
if not mote_id:
print "Mote id is missing!"
exit()
mote_file = output_files.get(mote_id, None)
if mote_file is None:
mote_filename = "%s/mote_%s.txt" % (dir_path, mote_id)
mote_file = open(mote_filename, "w")
output_files[mote_id] = mote_file
mote_file.write(line)
finally:
if input_file:
input_file.close()
for f in output_files.values():
f.close()
def main(args):
if "-h" in args:
print "python %s [input filename] [-s (suppress zero temperature diffs)] [-j (join zero temperature diffs)]" % (args[0])
exit()
suppress_zero_diff = '-s' in args
if suppress_zero_diff:
args.remove('-s')
join_zero_temperature_diffs = '-j' in args
if join_zero_temperature_diffs:
args.remove('-j')
f = sys.stdin
if len(args) > 1:
f = open_file(args[1])
motes = {}
diff_temp = -1.0
try:
for line in f:
timestamp, mote_id, counter, temperature = parse_line(line)
mote = motes.get(mote_id, None)
if not mote:
motes[mote_id] = mote = {}
else:
diff_timestamp = timestamp - mote['ts']
diff_temp = temperature - mote['temp']
if diff_timestamp > 0.00000001 and (not suppress_zero_diff or diff_temp != 0.0):
print diff_timestamp, mote_id, diff_temp / diff_timestamp
if not join_zero_temperature_diffs or (diff_temp != 0.0):
mote['ts'] = timestamp
mote['temp'] = temperature
finally:
if f:
f.close()
def reset(self):
self.close()
self.fp = open_file(self.filename)
if self.file_type == "arff":
self.arff_attributes = self._parse_arff_header()
def main(args):
if len(args) < 2:
print "Usage: python %s {input filename} [-f (function to plot with file) mote_id]" % (args[0])
exit()
filename = args[1]
ts = TimeSeries()
motes = set()
print "Parsing..."
f = None
file_contents = read_file(filename)
if not file_contents:
f = open_file(filename)
lines_iter = iter(f)
else:
lines_iter = iter(file_contents)
try:
for line in lines_iter:
timestamp, mote_id, counter, temp = parse_line(line)
ts.add(timestamp, (mote_id, temp))
motes.add(mote_id)
finally:
if f:
f.close()
if file_contents:
del file_contents
diffs = []
for mote_id1 in motes:
for mote_id2 in motes:
if mote_id1 < mote_id2 and is_opposed(mote_id1, mote_id2):
diff_ts = mote_diffs(ts, mote_id1, mote_id2)
diffs.append(( "%d-%d (rack %s)" % (mote_id1, mote_id2, MOTE_LOCATION[mote_id1]['rack']), diff_ts))
print "Plotting..."
fig = pylab.figure()
pylab.grid(True)
ax1 = fig.add_subplot(111)
i = 0
for diff in diffs:
temps = []
dates = []
for t, temp in diff[1]:
dates.append(datetime.datetime.fromtimestamp(t))
temps.append(temp)
dates = matplotlib.dates.date2num(dates)
h = float(i + 1) / len(diffs)
color = hsv_to_rgb(h, 0.8, 0.8)
# 'b' means default (plot with lines)
ax1.plot_date(dates, temps, 'b', color=color)
i += 1
pylab.legend( [mote_legend for mote_legend, diff_ts in diffs] )
ax1.set_ylabel("Temp difference (C)")
ax1.set_xlabel("Time")
pylab.show()
def main(args):
ion()
grid(True)
figure(1)
frame1 = plt.gca()
frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)
motes = {}
temp_matrix = [ [MIN_TEMP for i in range(7)] for j in range(9) ]
temp_matrix[-1][-1] = MAX_TEMP
positions = { \
# back
248: (1,1), 247: (2,1), 252: (3,1), 238: (1,5), 244: (2,5), 243: (3,5),
# front
249: (6,1), 253: (7,1), 245: (8,1), 241: (6,5), 237: (7,5), 239: (8,5),
}
for mote_id, pos in positions.items():
plt.text(pos[1], pos[0], str(mote_id), fontsize=12, horizontalalignment='center', verticalalignment='center', color="black")
plt.text(1, 0, "Back R1", fontsize=12, horizontalalignment='center', verticalalignment='bottom', color="white")
plt.text(5, 0, "Back R2", fontsize=12, horizontalalignment='center', verticalalignment='bottom', color="white")
plt.text(1, 5, "Front R1", fontsize=12, horizontalalignment='center', verticalalignment='bottom', color="white")
plt.text(5, 5, "Front R2", fontsize=12, horizontalalignment='center', verticalalignment='bottom', color="white")
f = open_file("/home/giulio/Dropbox/Projeto Sensores/experiments/temperatura/sala_servidores/temps_25_05_12_15h09m48s.txt.gz")
loaded_color_bar = False
try:
for line in f:
#A = rand(5,5)
#imshow(A, interpolation='nearest')
values = parse_line(line)
timestamp = values[0]
mote_id = values[1]
temp = values[-1]
mote = motes.get(mote_id, None)
if mote is None or abs(mote["temp"] - temp) > TEMP_DRAW_THRESHOLD:
if mote is None:
mote = {"temp": temp, "timestamp": timestamp}
motes[mote_id] = mote
else:
mote["temp"] = temp
mote["timestamp"] = timestamp
pos = positions.get(mote_id, None)
if pos is not None:
temp_matrix[pos[0]][pos[1]] = temp
print "Drawing", mote_id, time.ctime(timestamp), temp
imgplot = imshow(temp_matrix, interpolation='nearest')
imgplot.set_cmap('jet')
if not loaded_color_bar:
plt.colorbar()
loaded_color_bar = True
draw()
#time.sleep(.1)
finally:
if f:
f.close()
def main(args):
if len(args) < 2:
print "Usage: python %s {input filename} [-f (function to plot with file) mote_id]" % (
args[0])
exit()
filename = args[1]
ts = TimeSeries()
motes = set()
print "Parsing..."
f = None
file_contents = read_file(filename)
if not file_contents:
f = open_file(filename)
lines_iter = iter(f)
else:
lines_iter = iter(file_contents)
try:
for line in lines_iter:
timestamp, mote_id, counter, temp = parse_line(line)
ts.add(timestamp, (mote_id, temp))
motes.add(mote_id)
finally:
if f:
f.close()
if file_contents:
del file_contents
diffs = []
for mote_id1 in motes:
for mote_id2 in motes:
if mote_id1 < mote_id2 and is_opposed(mote_id1, mote_id2):
diff_ts = mote_diffs(ts, mote_id1, mote_id2)
diffs.append(
("%d-%d (rack %s)" %
(mote_id1, mote_id2, MOTE_LOCATION[mote_id1]['rack']),
diff_ts))
print "Plotting..."
fig = pylab.figure()
pylab.grid(True)
ax1 = fig.add_subplot(111)
i = 0
for diff in diffs:
temps = []
dates = []
for t, temp in diff[1]:
dates.append(datetime.datetime.fromtimestamp(t))
temps.append(temp)
dates = matplotlib.dates.date2num(dates)
h = float(i + 1) / len(diffs)
color = hsv_to_rgb(h, 0.8, 0.8)
# 'b' means default (plot with lines)
ax1.plot_date(dates, temps, 'b', color=color)
i += 1
pylab.legend([mote_legend for mote_legend, diff_ts in diffs])
ax1.set_ylabel("Temp difference (C)")
ax1.set_xlabel("Time")
pylab.show()
def main(args):
if len(args) < 2:
print "Usage: python %s {hidden_vars_file} [-b (blame_file)]" % (
args[0])
exit()
hidden_vars = [[]]
hv_file = open_file(args[1])
try:
for line in hv_file:
line = line.strip()
if line:
values = map(float, line.split())
for i in xrange(len(values) - len(hidden_vars) - 1):
hidden_vars.append([])
for i in xrange(len(hidden_vars)):
if i > len(values) - 2:
hidden_vars[i].append((values[0], numpy.nan))
else:
hidden_vars[i].append((values[0], values[i + 1]))
finally:
hv_file.close()
blame_file = open_file(args[args.index('-b') +
1]) if '-b' in args else None
weights = []
if blame_file:
try:
for line in blame_file:
line = line.strip()
if line:
values = map(float, line.split())
if not weights:
for i in xrange(len(values) - 1): # skip timestamp
weights.append([])
for i in xrange(len(weights)):
weights[i].append([values[0], values[i + 1]])
finally:
blame_file.close()
for w in weights:
last = w[0][1]
w[0][1] = 0
for i in xrange(1, len(w)):
aux = w[i][1]
w[i][1] = (w[i][1] - last)**2
last = aux
size = 21
for w in weights:
for i in xrange(0, len(w) - size, size):
avg = sum(w[i + j][1] for j in xrange(size)) / size
for j in xrange(size):
w[i + j][1] = avg
# filter poor motes
cutoff = 5 * 1e-7
avgs = []
for w in weights:
avg = sum(w[i][1] for i in xrange(len(w))) / len(w)
avgs.append(avg)
chosen_indexes = []
for i in xrange(len(avgs)):
if avgs[i] > cutoff:
chosen_indexes.append(i)
# setup pylab
#fig = pylab.figure()
pylab.subplot(211)
pylab.grid(True)
for h in hidden_vars:
x, y = zip(*h)
pylab.plot(x, y, '-')
pylab.legend(range(1, len(hidden_vars) + 1))
if weights:
pylab.subplot(212)
pylab.grid(True)
for i in chosen_indexes:
x, y = zip(*weights[i])
pylab.plot(x, y, '-')
pylab.legend(chosen_indexes)
pylab.show()
def main(args):
if len(args) < 2 or '-h' in args:
print "Usage: python %s {temp_file} [-t topology_file] [-b battery_file] [-at artificial timestamps] [-m naive (default) | additive {min, max, incr} | deadzone {delta, max_period}]" % (args[0])
exit()
if '-at' in args and '-b' in args:
print 'Impossible to use -at mode with -b'
exit()
artificial_timestamps = '-at' in args
f_temps = open_file(args[1])
batt_filename = get_option_parameters(args, '-b')
mode = NAIVE_MODE
mode_args = None
if '-m' in args:
mode_str = get_option_parameters(args, '-m')
if mode_str == 'additive':
mode = ADDITIVE_MODE
mode_args = get_option_parameters(args, '-m', 5)
if mode_args is None:
raise GenericException("Missing additive parameters")
del mode_args[0]
elif mode_str == 'deadzone':
mode = DEADZONE_MODE
mode_args = get_option_parameters(args, '-m', 4)
if mode_args is None:
raise GenericException("Missing deadzone parameters")
del mode_args[0]
elif mode_str is None:
raise GenericException("Could not parse arguments of -m")
else:
raise GenericException("Unexpected mode %s" % mode_str)
output = open("output.txt", "w")
if batt_filename:
f_batt = open_file(batt_filename)
else:
f_batt = None
try:
basestation = BaseStation(output)
topology_filename = get_option_parameters(args, '-t')
if topology_filename:
nodes = read_topology(topology_filename, basestation, mode, mode_args)
else:
'''
If a topology is not specified, the network will include the nodes as they
appear in the file.
'''
nodes = {}
batt_info = None
if f_batt:
batt_line = f_batt.readline()
if batt_line:
batt_info = parse_line(batt_line)
artificial_ts = {}
for temp_line in f_temps:
timestamp, node_id, counter, temperature = parse_line(temp_line)
if artificial_timestamps:
timestamp = artificial_ts.get(node_id, 0)
if timestamp == 0:
artificial_ts[node_id] = 1
else:
artificial_ts[node_id] += 1
temp_reading = ReadingMessage(timestamp, node_id, temperature, counter, TEMP_READING)
temp_node = nodes.get(node_id, None)
if temp_node is None:
if not topology_filename:
temp_node = auto_update_topology(node_id, nodes, basestation, mode, mode_args)
else:
raise GenericException("Node %d is outside topology!" % node_id)
# handle battery
while batt_info and batt_info[0] < timestamp: # send another batt_info now
batt_reading = ReadingMessage(batt_info[1], batt_info[0], batt_info[3], batt_info[2], VOLTAGE_READING)
batt_node = nodes[batt_info[1]]
batt_node.feed_reading(batt_reading)
# update
batt_line = f_batt.readline()
if batt_line:
batt_info = parse_line(batt_line)
temp_node.feed_reading(temp_reading)
finally:
if f_temps:
f_temps.close()
if f_batt:
f_batt.close()
if output:
output.close()
for node in nodes.values():
print "Node %03d :" % (node.node_id), node.get_stats()
print "All nodes: Sent: %d (1 message every %f seconds) Received: %d" % \
(sum( (n.sent_count for n in nodes.values()) ), \
sum( ((float(n.send_end - n.send_start) / n.sent_count) / len(nodes.values()) for n in nodes.values()) ), \
sum( (n.received_count for n in nodes.values()) ) + \
sum( (n.snooped_count for n in nodes.values()) ) )
def main(args):
if len(args) < 2:
print "Usage: python %s {hidden_vars_file} [-b (blame_file)]" % (args[0])
exit()
hidden_vars = [[]]
hv_file = open_file(args[1])
try:
for line in hv_file:
line = line.strip()
if line:
values = map(float, line.split())
for i in xrange(len(values) - len(hidden_vars) - 1):
hidden_vars.append([])
for i in xrange(len(hidden_vars)):
if i > len(values) - 2:
hidden_vars[i].append((values[0], numpy.nan))
else:
hidden_vars[i].append((values[0], values[i + 1]))
finally:
hv_file.close()
blame_file = open_file(args[args.index('-b') + 1]) if '-b' in args else None
weights = []
if blame_file:
try:
for line in blame_file:
line = line.strip()
if line:
values = map(float, line.split())
if not weights:
for i in xrange(len(values) - 1): # skip timestamp
weights.append([])
for i in xrange(len(weights)):
weights[i].append([values[0], values[i + 1]])
finally:
blame_file.close()
for w in weights:
last = w[0][1]
w[0][1] = 0
for i in xrange(1, len(w)):
aux = w[i][1]
w[i][1] = (w[i][1] - last) ** 2
last = aux
size = 21
for w in weights:
for i in xrange(0, len(w) - size, size):
avg = sum(w[i + j][1] for j in xrange(size)) / size
for j in xrange(size):
w[i + j][1] = avg
# filter poor motes
cutoff = 5 * 1e-7
avgs = []
for w in weights:
avg = sum(w[i][1] for i in xrange(len(w))) / len(w)
avgs.append(avg)
chosen_indexes = []
for i in xrange(len(avgs)):
if avgs[i] > cutoff:
chosen_indexes.append(i)
# setup pylab
#fig = pylab.figure()
pylab.subplot(211)
pylab.grid(True)
for h in hidden_vars:
x, y = zip(*h)
pylab.plot(x, y, '-')
pylab.legend(range(1, len(hidden_vars) + 1))
if weights:
pylab.subplot(212)
pylab.grid(True)
for i in chosen_indexes:
x, y = zip(*weights[i])
pylab.plot(x, y, '-')
pylab.legend(chosen_indexes)
pylab.show()