import numpy
import pylab as p

dane1 = numpy.genfromtxt('1.csv', delimiter = ' ',dtype=float)
dane2 = numpy.genfromtxt('2.csv', delimiter = ' ',dtype=float)
dane3 = numpy.genfromtxt('3.csv', delimiter = ' ',dtype=float)
data1 = str(int(dane1[0][1]))+"-"+str(int(dane1[0][2]))+"-" + str(int(dane1[0][3]))
data2 = str(int(dane2[0][1]))+"-"+str(int(dane2[0][2]))+"-" + str(int(dane2[0][3]))
data3 = str(int(dane3[0][1]))+"-"+str(int(dane3[0][2]))+"-" + str(int(dane3[0][3]))
temp1 = []
for a in range (1438):
    temp1.append(dane1[a][7])
temp2 = []
for b in range (1438):
    temp2.append(dane2[b][7])
temp3 = []
for c in range (1438):
    temp3.append(dane3[c][7])
lck = []
for i in range (24):
    lck.append(i*60)
lck.append(1439)

print lck
tick_lbls = ["00:00","01:00","02:00","03:00","04:00","05:00","06:00","07:00","08:00","09:00","10:00","11:00","12:00","13:00","14:00","15:00","16:00","17:00","18:00","19:00","20:00","21:00","22:00","23:00","23:59"]
p.subplot(3,1,1)
p.subplots_adjust(left=None, bottom=None, right=1.00, top=None, wspace=None, hspace=0.59)
p.xticks(lck, tick_lbls)
p.xlabel("Czas")
p.ylabel("Temeperatura[C]")
p.title(data1)
p.plot(temp1)
p.subplot(3,1,2)
p.xticks(lck, tick_lbls)
p.xlabel("Czas")
p.ylabel("Temeperatura[C]")
p.title(data2)
p.plot(temp2)
p.subplot(3,1,3)
p.xticks(lck, tick_lbls)
p.xlabel("Czas")
p.ylabel("Temeperatura[C]")
p.title(data3)
p.plot(temp3)
#p.show()
p.savefig('temp.png', transparent=None, bbox_inches=tight, pad_inches=0)