Ethereum: Correlation Hash Rate Vs. Difficulty

export-BlockDifficulty.csv

export-NetworkHash.csv

scatterHashRateDifficulty.py

import csv
import matplotlib.pyplot as plt
import numpy as np
import datetime

forks = [
	(int(datetime.date(2016,7,20).strftime("%s")),"Ethereum Classic (Jul 20, 2016)",'r'),
	(int(datetime.date(2017,12,14).strftime("%s")),"Ethereum Modification (Dec 14, 2017)",'b'),
	(int(datetime.date(2018,1,19).strftime("%s")),"ETZ",'y'),
	]

with open('export-BlockDifficulty.csv', 'r') as f:
	reader = csv.reader(f)
	difficultyList = list(reader)

with open('export-NetworkHash.csv', 'r') as f:
	reader = csv.reader(f)
	hashList = list(reader)

hl = []
dl = []
label = 'initial'
forkN = 0

for de,he in zip(difficultyList[1:],hashList[1:]):
	if de[1] != he[1]:
		raise Exception("not same ts")

	hl.append(float(he[2])/1000.)
	dl.append(de[2])
	if forkN < len(forks) and int(de[1]) >= forks[forkN][0]:
			ft = forks[forkN]
			plt.scatter(dl,hl,c=ft[2],label=label)	
			hl = []
			dl = []
			label = ft[1]
			forkN += 1	

plt.legend(loc='lower right');
plt.xlabel("Difficulty (TH)")
plt.ylabel("Hash Rate (TH/s)")

plt.show()