示例#1
0
def adc_var ( ip_addr, ip_port, timeout, channel, packetNumber, buffer_size, verbose):
  
  s_adc = socket.socket( socket.AF_INET, socket.SOCK_STREAM )
  s_adc.settimeout( int(timeout) )
  # try connection
  try:
    s_adc.connect( (ip_addr, int( ip_port ) ) )
  except:
    print "adc_var(): Error, no ADC connection, port: ", ip_port,
    s_adc.close()
    sys.exit()

  # open connection
  message = sendReceive ( s_adc, channel, packetNumber, 
                          buffer_size, verbose ) 
  # close connection
  s_adc.close()
                          
  # unpacking message
  msg_len = len(message)
  if msg_len > 0:
    num = unpack(str(msg_len)+'B', message)
    #  add offset, [0 255] -> [-128 128]
    num = map(lambda x: x-128, num)
    if verbose:
      print "Min=", min(num), "Max=", max(num), "Mean=", stats.mean(num), "Var=", stats.var(num),  "Std=", stats.stdev(num)
    var = stats.var(num)
  else:
    var = "N/A"
  return var
示例#2
0
def main():
    (opts, args) = parser.parse_args()
    if len(args) != 1:
        print "\nPlease, select channel: 0/1\n"
        parser.print_help()
    else:
        if opts.verbose:
            verbose = True
            print "connecting to ", opts.ip_addr
            print "port number", opts.ip_port
        message = args[0]
        message = sendReceive(opts.ip_addr, opts.ip_port, opts.timeout,
                              message, opts.verbose)
        #print "String:"
        #print message
        #print "Hex:"
        hexMessage = b2a_hex(message)
        #print hexMessage
        print "No. bytes: ", len(message)
        print "Done!"

        #Unpacking message
        msg_len = len(message)
        num = unpack(str(msg_len) + 'B', message)
        #print num
        num = map(lambda x: x - 128, num)
        #print num
        print "Maximum: ", max(num), "Minimum: ", min(
            num), "Mean: ", stats.mean(
                num), "Standard deviation: ", stats.stdev(
                    num), "Variance: ", stats.var(num)
示例#3
0
print(stats.relfreq(af))

print('\nVARIATION')
print('obrientransform:')

l = list(range(1, 21))
a = N.array(l)
ll = [l] * 5
aa = N.array(ll)

print(stats.obrientransform(l, l, l, l, l))
print(stats.obrientransform(a, a, a, a, a))

print('samplevar:', stats.samplevar(l), stats.samplevar(a))
print('samplestdev:', stats.samplestdev(l), stats.samplestdev(a))
print('var:', stats.var(l), stats.var(a))
print('stdev:', stats.stdev(l), stats.stdev(a))
print('sterr:', stats.sterr(l), stats.sterr(a))
print('sem:', stats.sem(l), stats.sem(a))
print('z:', stats.z(l, 4), stats.z(a, 4))
print('zs:')
print(stats.zs(l))
print(stats.zs(a))

print('\nTRIMMING')
print('trimboth:')
print(stats.trimboth(l, .2))
print(stats.trimboth(lf, .2))
print(stats.trimboth(a, .2))
print(stats.trimboth(af, .2))
print('trim1:')
示例#4
0
print stats.relfreq(af)

print '\nVARIATION'
print 'obrientransform:'

l = range(1,21)
a = N.array(l)
ll = [l]*5
aa = N.array(ll)

print stats.obrientransform(l,l,l,l,l)
print stats.obrientransform(a,a,a,a,a)

print 'samplevar:',stats.samplevar(l),stats.samplevar(a)
print 'samplestdev:',stats.samplestdev(l),stats.samplestdev(a)
print 'var:',stats.var(l),stats.var(a)
print 'stdev:',stats.stdev(l),stats.stdev(a)
print 'sterr:',stats.sterr(l),stats.sterr(a)
print 'sem:',stats.sem(l),stats.sem(a)
print 'z:',stats.z(l,4),stats.z(a,4)
print 'zs:'
print stats.zs(l)
print stats.zs(a)

print '\nTRIMMING'
print 'trimboth:'
print stats.trimboth(l,.2)
print stats.trimboth(lf,.2)
print stats.trimboth(a,.2)
print stats.trimboth(af,.2)
print 'trim1:'
示例#5
0
    def test_var(self):
        "Testing var"

        data = [self.L, self.A]
        for d in data:
            self.EQ(stats.var(d), 35.0)
示例#6
0
 def evaluate(self, *args, **params):
     return _stats.var(*args, **params)
示例#7
0
 def test_var(self):
     "Testing var"
     
     data = [ self.L, self.A ]
     for d in data:
         self.EQ( stats.var( d ), 35.0 )
示例#8
0
print stats.relfreq(af)

print '\nVARIATION'
print 'obrientransform:'

l = range(1, 21)
a = N.array(l)
ll = [l] * 5
aa = N.array(ll)

print stats.obrientransform(l, l, l, l, l)
print stats.obrientransform(a, a, a, a, a)

print 'samplevar:', stats.samplevar(l), stats.samplevar(a)
print 'samplestdev:', stats.samplestdev(l), stats.samplestdev(a)
print 'var:', stats.var(l), stats.var(a)
print 'stdev:', stats.stdev(l), stats.stdev(a)
print 'sterr:', stats.sterr(l), stats.sterr(a)
print 'sem:', stats.sem(l), stats.sem(a)
print 'z:', stats.z(l, 4), stats.z(a, 4)
print 'zs:'
print stats.zs(l)
print stats.zs(a)

print '\nTRIMMING'
print 'trimboth:'
print stats.trimboth(l, .2)
print stats.trimboth(lf, .2)
print stats.trimboth(a, .2)
print stats.trimboth(af, .2)
print 'trim1:'