plot_hourly adapted to python3

tools/plot_hourly.py

@@ -21,14 +21,14 @@ font = {'family': 'serif',
 plt.rc('font', **font)
 plt.rc('text', usetex=True)
 plt.rc('text.latex',unicode=True)
-plt.rc('text.latex',preamble='\usepackage[utf8]{inputenc}')
-plt.rc('text.latex',preamble='\usepackage[russian]{babel}')
+plt.rc('text.latex',preamble=r'\usepackage[utf8]{inputenc}')
+plt.rc('text.latex',preamble=r'\usepackage[russian]{babel}')
 
 #path = ['../results/windforc_base/hourly/', \
 #        '../results/windforc_kor/hourly/', \
 #        '../results/windforc_dynpgrad4/hourly/'] # path to files
 #path = ['../results/Mojai2016-2017_damw5/hourly/']#,'../results/Mojai2016-2017_damtribheat=0/hourly/']
-path = ['../results/river/hourly/']
+path = ['../results/windforc/hourly/']
 
 year = int(input("Enter year \n"))
 nm0 = int(input("Enter month \n"))
@@ -311,7 +311,7 @@ for np in range(npaths):
 				line = fid.readline()
 				line = line.split()
 				depths[j] = abs(float(line[0]))
-				print k, line, ncol[k]
+				print (k, line, ncol[k])
 				vals[j] = float(line[ncol[k]-1])
 
 			#legenditems.append(varname[k] + u' (модель)') #+ ', ' +legendtime[i]+expnames[np])