def create_weather_line_graph(uid,line_types,line_arrays,date_array, fieldid):
	import matplotlib.pyplot as plt
	line_loc = 0
	fig = plt.gcf()
	plt.rcParams.update({'font.size':20})
	fig.set_size_inches(26,13)
	for line_array in line_arrays:
		index_array = line_array
		line_type = line_types[line_loc]
		print(line_type)
		day_array = date_array
		xtick_dates = []
		new_index_array = []
		len_day_array = len(day_array)
		new_day_array = []
		w = 1
		key_count = 0
		for key in date_array:
			d_date = str(key)
			y = d_date[0:4]
			m = d_date[4:6]
			d = d_date[6:]
			if int(m)==1:
				M = 'Jan'
			elif int(m)==2:
				M = 'Feb'
			elif int(m) ==3:
				M = 'Mar'
			elif int(m) == 4:
				M = 'Apr'
			elif int(m) ==5:
				M = 'May'
			elif int(m) == 6:
				M = 'Jun'
			elif int(m) ==7:
				M = 'Jul'
			elif int(m) ==8:
				M = 'Aug'
			elif int(m)==9:
				M = 'Sep'
			elif int(m) ==10:
				M = 'Oct'
			elif int(m) ==11:
				M ='Nov'
			else:
				M = 'Dec'
			if len_day_array<7:
				n_date = d+'-'+M
				xtick_dates.append(n_date)
				if str(index_array[key_count]).find('not')>=0:
					new_index_array.append(0)
				else:
					new_index_array.append(index_array[key_count])
				new_day_array.append(key)
		
			if len_day_array >6:
				if (len_day_array-key_count)<7:
					n_date = d+'-'+M
					xtick_dates.append(n_date)
					if str(index_array[key_count]).find('not')>=0:
						new_index_array.append(0)
					else:
						new_index_array.append(index_array[key_count])
						new_day_array.append(key)
			key_count = key_count+1
		#index_array = index_array[::-1]
		#day_array = day_array[::-1]
		#xtick_dates = xtick_dates[::-1]
		xlab = 'Days'
		
		if line_type.find('cloud_cover')>=0:
			title = 'Cloud Cover (in%) with time'
			ylab = 'Cloud Cover (%)'
			
		elif line_type.find('humidity')>=0:
			title = 'Humidity (in%) with time'
			ylab = 'Humidity (%)'
			
		elif line_type.find('pressure')>=0:
			title = 'Pressure (in hPa) with time'
			ylab = 'Pressue in (hPa)'
			
		elif line_type.find('wind_speed')>=0:
			title = 'Wind Speed (in m/s) with time'
			ylab = 'Wind Speed in m/s'
			
		elif line_type.find('wind_deg')>=0:
			title = 'Wind Direction (in degrees) with time'
			ylab = 'Wind Direction in degrees'
			
		elif line_type.find('min_temp')>=0:
			title = 'Min. and Max. Temperature vs Date'
			ylab = 'Temperature (°C)'
			
		elif line_type.find('max_temp')>=0:
			title = 'Min. and Max. Temperature vs Date'
			ylab = 'Temperature (°C)'
			#plt.legend(['Min Temp','Max Temp'])
			
		else:
			title = ' '
			ylab = ''
		line_loc = line_loc+1
		if line_loc>2:
			#line_loc=line_loc-1
			plt.subplot(2,3,(line_loc-1))
			plt.plot(new_day_array,new_index_array)
		elif line_loc==1:
			plt.subplot(2,3,1)
			plt.plot(new_day_array,new_index_array)
		else:
			print('came here')
			plt.plot(new_day_array,new_index_array)
			
		
		print(line_loc)
		#axs[line_loc].plot(new_day_array,new_index_array)
		
		#plt.xlabel(xlab)
		plt.ylabel(ylab)
		plt.title(title)
		plt.xticks(new_day_array,xtick_dates)
		plt.grid(b=True,which='major',color='#666666',linestyle='-')
		#axs[line_loc].set(xlabel=xlab,ylabel=ylab,title=title,xticks=
	#plt.subplots_adjust(left=0.0,right=0.5,bottom=0.0,top=0.5)
	plt.show()
	file_name = uid+'/' + fieldid +'/weather_linegraph.png'
	plt.savefig(file_name)
	plt.close()