#!/usr/bin/env python
# -*- coding: utf-8 -*- 

from matplotlib.pyplot import *
from numpy import *

from pyTDMS import *



items = [
"/'Untitled'/'ch0'",
"/'Untitled'/'ch1'",
"/'Untitled'/'ch2'",
"/'Untitled'/'ch3'",
"/'Untitled'/'ch4'",
"/'Untitled'/'ch5'",
"/'Untitled'/'ch6'",
"/'Untitled'/'ch7'",
"/'Untitled'/'Voltage_0'",
"/'Untitled'/'Voltage_1'",
"/'Untitled'/'Voltage_2'",
"/'Untitled'/'Voltage_3'",
"/'Untitled'/'Voltage_4'",
"/'Untitled'/'Voltage_5'",
"/'Untitled'/'Voltage_6'",
"/'Untitled'/'Voltage_7'"]

d = read( 'NIdata_6358.tdms' )[1]
tvec = d["/'Untitled'/'Time'"]
tvec = array(tvec)
tvec =tvec[:,1] - tvec[0,1] 
i = 0

for i,key in enumerate(items):
    #if key == "/'Untitled'/'Time'":
	#continue
    #i+=1
    #print i, key

    #print shape(d[key])
    savez_compressed('NIturbo_%2.2i' %i,single(d[key]))
    #list_data.append(single(d[key]))
    #plot(tvec, d[key])
    #title(key)
    #show()
    #print d[key][0]
#res = array(list_data)
#print shape()

#csvDump((objects,data)):