work with historic crypto market data

historic_market_data.py

'''
git clone
https://github.com/jhogan4288/coinmarketcap-history

python2.7 coinmarketcap_usd_history.py neo 2016-09-09 2017-12-12 > neo.csv
'''

import csv
import matplotlib.pyplot as plt

FILENAME = 'neo.csv'

def show_me(filename):
	days = []
	closing = []

	with open(filename, 'rb') as infile:
    	rows = csv.reader(infile, delimiter=',')
    	for i, row in enumerate(rows):
        	if i > 0:
            	#days.append(row[0])
            	price = float(row[4])
            	#print(price)
            	closing.append(price)

		plt.plot(closing[::-1])#[270:]
		plt.xlabel('days')
		plt.ylabel('closing prices')
		plt.show()

if __name__ == '__main__':
	show_me(FILENAME)