graph.py

#!/usr/bin/python
import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime as dt

dates = [] #create empty data set

with open('/media/Library/size_history.csv','r') as f:
    for line in f:
        dates.append(line.split(',')[0])

x = [dt.datetime.strptime(d,'%Y/%m/%d').date() for d in dates]
y = np.genfromtxt('/media/Library/size_history.csv', delimiter=',', usecols=(1))

plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
plt.gca().xaxis.set_major_locator(mdates.WeekdayLocator(byweekday=6,interval=1,tz=None))
plt.gca().set_ylim(top=10870) #size of NAS in GB
plt.gca().set_ylim(bottom=8000) #lowest capacity on record
plt.plot(x,y)
plt.title('Storage Use Trend')
plt.ylabel('Storage Used(GB)')
plt.xlabel('Date')
plt.gcf().autofmt_xdate()
plt.grid(True,color='k')

plt.show()