import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import csv
imgtype = 'ndvi'
uid = 'tszor5vG8vTlW88R8AHmHICNFSo1'
labels = ['Good', 'Average', 'Bad']
fileName = 'IndexValues_' + imgtype + '.csv'
good = 0
avg = 0
bad = 0
title = imgtype + 'breakdown'
with open(fileName) as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    line_count = 0
    for row in csv_reader:
        if line_count == 0:
            line_count+=1
            good = row[0]
            avg = row[1]
            bad = row[2]
sizes = [good, avg, bad]
colors = ['green','yellow','red']
#colors = ['#18A558','#ffea00','#ff4000']
explode = (0.1,0,0)
#plt.pie(sizes,explode=explode,labels=labels,colors=colors)
plt.pie(sizes,explode=explode,labels=labels,colors=colors,autopct='%1.1f%%',shadow=True,startangle=90)
#plt.legend(patches,labels,loc="best")
plt.axis('equal')
#plt.title(title, loc = 'center')
#plt.tight_layout()
plt.show()
fileName = uid +'/health_pie.png'
plt.savefig(fileName)