import time
import csv
import matplotlib
matplotlib.use('Agg')
from pylab import datestr2num
import matplotlib.mlab as ml
import matplotlib.pyplot as plt
import matplotlib.dates as mdates


t=[]
v1=[]
v2=[]
v3=[]

FileReader = csv.reader(open('out.txt'), delimiter='	', quotechar='"')


for row in FileReader:
   # t.append(time.mktime(time.strptime(row[0], '%Y-%m-%d %H:%M:%S')))
   t.append(float(row[0]))
   v1.append(float(row[1]))
   v2.append(float(row[2]))
   v3.append(float(row[3]))

for tstamp in t:
   print tstamp

for val in v1:
   print val

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(t,v1)
ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d %H:%M:%S')

fig.autofmt_xdate()

plt.ylabel('iops')
plt.xlabel('tstamp')

# plt.show()
plt.savefig('myfig')




# load('out.txt', delimiter=',',converters={0:datestr2num}, skiprows=1, usecols=(0,2),unpack=True)