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bigplota.py
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bigplota.py
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#!/usr/bin/python
import sys
import argparse
import numpy as np
import matplotlib.pyplot as plt
import subprocess
FMT = "%s/ACQ400DATA/%d/%s/%06d/%d.%02d"
#"/data/ACQ400DATA/%d/acq2106_070/000001/0.02"
def get_uut():
p1 = subprocess.Popen(['get-ident'], stdout=subprocess.PIPE)
return p1.communicate()[0].strip().split(' ')
uut = "acq2106_000"
(host, uut) = get_uut()
def load3(base="/data", lun=0, uut=uut, cycle=1, buf0=0, nchan=48):
if buf0 % 3 != 0:
print("ERROR, buf %d not modulo 3" % (buf0))
exit(1)
print("load3 {}".format(FMT % (base, lun, uut, cycle, lun, buf0)))
b3 = tuple([ np.fromfile(FMT % (base, lun, uut, cycle, lun, buf0+x), np.int16) for x in range(3)] )
raw = np.concatenate(b3)
chx = np.reshape(raw, (raw.size/nchan, nchan))
return (chx, lun, uut, cycle, nchan)
def plot16(l3, ic=0, nc=16):
(chx, lun, uut, cycle, nchan) = l3
for ch in range(ic,ic+nc):
plt.plot(chx[:,ch])
plt.title("uut: {} lun:{} ch {}..{}".format(uut, lun, ic+1, ic+nc+1))
plt.xlabel("cycle {:06}".format(cycle))
plt.show()
class LoadsHost:
def __init__(self, host, uut):
self.uut = uut
self.host = host
def load3(self, lun=0, cycle=1, buf0=0, nchan=48):
return load3("data/{}".format(self.host), lun, self.uut, cycle, buf0, nchan)
loaders = [ LoadsHost(h, u) for (h, u) in (("Bolby", "acq2106_070"), ("Betso", "acq2106_071"),
("Ladna", "acq2106_072"), ("Vindo", "acq2106_073"))]
def get4(lun=0, cycle=1, buf0=0):
return [ l.load3(lun, cycle, buf0) for l in loaders]
def bigplota(args):
lenb = 0x400000
len3 = 3*lenb
ssize= 48*2
sam3 = len3/ssize
buffc = 99
buffc3 = buffc/3
M1 = 1000000
SR = 2*M1
pulsem = (0, 2, 4, 10, 20, 40, 100, 200)
pp = 0
for p in pulsem:
samples = p*M1
buf3s = samples / sam3
residue = samples - buf3s * sam3 # residue, samples in triplet
cycle = buf3s/buffc3 # cycle from 0
cycb = 3*(buf3s - cycle*buffc3) # buffer in cycle, first of 3
buffers = buf3s * 3
cycle += 1 # counts from 1
print("samples {} buffers {} residue {} cycle {} buffc {}".format(
samples, buffers, residue, cycle, cycb))
chx = get4(cycle=cycle, buf0=cycb)
u0 = args.u1 - 1
u1 = args.u2 if args.u2 >= args.u1 else args.ucount+u0
c0 = args.c1 - 1
c1 = args.c2 if args.c2 >= args.c1 else args.ccount+c0
print("Hello {}".format(args.subplots))
for u in range(u0, u1):
if args.subplots:
print("subplot {},{},{}".format(u1-u0,1,u1-u))
ax = plt.subplot(u1-u0,1,u)
for c in range(c0, c1):
plt.plot(chx[u][0][:,c], label='a{}.{}'.format(chx[u][2][8:], c+1))
if args.subplots:
ax.legend(loc='upper left', bbox_to_anchor=(1,1))
if args.subplots == 0:
plt.legend(loc='upper left', bbox_to_anchor=(1,1))
plt.title("UUTS:{} at t {}s, pulse {} at sample {}".format(range(u0+1,u1+1), p*M1/SR, pp, p*M1))
plt.axvline(x=residue)
plt.xlabel('cycle:{} buf:{}'.format(cycle, cycb))
plt.show()
pp += 1
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="plots selected pulses")
parser.add_argument("--u1", type=int, default=1, help="first uut (count from 1)")
parser.add_argument("--u2", type=int, default=-1, help="last uut (count from 1), inclusive")
parser.add_argument("--ucount", type=int, default=4, help="uut count unless overriden by --u2")
parser.add_argument("--c1", type=int, default=1, help="first channel (count from 1)")
parser.add_argument("--c2", type=int, default=-1, help="last channel (count from 1), inclusive")
parser.add_argument("--ccount", type=int, default=4, help="channel count unless overridden by --c2")
parser.add_argument("--subplots", type=int, default=0, help="set to 1 to plot with subplots per uut")
bigplota(parser.parse_args())