def create_soc_piechart(uid,fieldid,img_type):
	import matplotlib.pyplot as plt
	import numpy as np
	import os,sys
	import cv2
	import csv
	import matplotlib.patches as mpatches
	plt.rcParams.update({'font.size':12})
	lb='SOC: '
	lb2 = 'SOC'	
	labels = (lb+'less than 0.05%'),(lb+'0.05% to 0.075%'),(lb+'0.075% to 0.1%'),(lb+'0.1% to 0.112%'),(lb+'0.112% to 0.125%'),(lb+'0.125% to 0.137%'),(lb+'0.137% to 0.15%'),(lb+'0.15% to 0.2%'),(lb+'0.2% to 0.25%'),(lb+' more than 0.25%')

	cmap = ["#ab0535","#ea4f3b","#f7885a","#fbc07e","#fff0b5","#e6f3a4","#bae383","#81bf6c","#11a75f","#06653d"]
	file_name = uid + '/' + fieldid + '/IndexValues_'+img_type+'.csv'
	abc = 0
	sqm = []
	ind_values = []
	explode = (0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2)
	with open(file_name,'rt') as f:
		data = csv.reader(f)
		for row in data:
			for values in row:
				if (abc>0) and (abc<11):
					sq1 = (float(values)/10000)
					sq1 = round(sq1,1)
					ind_values.append(sq1)
					ss = str(values) + ' sq. m.'
					sqm.append(ss)
				if abc==0:
					avg_ind_value = values
				if abc==11:
					field_area = values
				if abc==12:
					good_area = values
				if abc==13:
					avg_area = values
				if abc==14:
					bad_area = values
				abc = abc+1
	fig1,ax1 = plt.subplots()
	print(labels)
	print(ind_values)
	sizes = ind_values
	#ax1.set_prop_cycle("color",cmap)
	#ax1.pie(ind_values,labeldistance = 2, explode=explode, labels=labels, autopct='%1.1f%%',shadow=True, startangle=90)
	ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
	ax1.set_title(("Field Area (in square meters) with Different SOC%"))
	patch1 = mpatches.Patch(color="#ab0535",label=(labels[0]+' -> '+sqm[0]))
	patch2 = mpatches.Patch(color="#ea4f3b",label=(labels[1]+' -> '+sqm[1]))
	patch3 = mpatches.Patch(color="#f7885a",label=(labels[2]+' -> '+sqm[2]))
	patch4 = mpatches.Patch(color="#fbc07e",label=(labels[3]+' -> '+sqm[3]))
	patch5 = mpatches.Patch(color="#fff0b5",label=(labels[4]+' -> '+sqm[4]))
	patch6 = mpatches.Patch(color="#e6f3a4",label=(labels[5]+' -> '+sqm[5]))
	patch7 = mpatches.Patch(color="#bae383",label=(labels[6]+' -> '+sqm[6]))
	patch8 = mpatches.Patch(color="#81bf6c",label=(labels[7]+' -> '+sqm[7]))
	patch9 = mpatches.Patch(color="#11a75f",label=(labels[8]+' -> '+sqm[8]))
	patch10 = mpatches.Patch(color="#06653d",label=(labels[9]+' -> '+sqm[9]))
	ax1.legend(loc = 'center',handles=[patch10,patch9,patch8,patch7,patch6,patch5,patch4,patch3,patch2,patch1],title='Field Area with Different SOC%')
	plt.show()
	file_name = uid+ '/' + fieldid +'/'+img_type+'_piechart.png'
	plt.savefig(file_name)
	plt.close()
	pie_c =	cv2.imread(file_name)
	pie_c = pie_c[100:400,120:500]
	cv2.imwrite(file_name,pie_c)

	return avg_ind_value,field_area