generates graphs from metric data

graphs.py

import sys

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


matplotlib.rcParams.update({'font.size': 4})
matplotlib.rcParams.update({'lines.linewidth': 0.5})

src = sys.argv[1]
dst = sys.argv[2]
metrics = sys.argv[3:]

res = csv.reader(open(src), delimiter=',')
start = 0
times = []
datetimes = []
metric_points = [[] for m in metrics]
for row in res:
    start = start if start is not 0 else int(row[0])
    times.append(row[0])
    datetimes.append(datetime.datetime.utcfromtimestamp(float(row[0])))
    for tup in zip(metric_points, row[2:]):
        tup[0].append(tup[1])

count = 0

count += 1
fig = plt.figure(count)
fig.autofmt_xdate()

plot_base = 100 * len(metrics) + 10
met_count = 0
for points in metric_points:
    ax = fig.add_subplot(plot_base + met_count + 1)
    ax.plot(datetimes, points)
    plt.xlabel('time')
    plt.ylabel(metrics[met_count])
    met_count += 1
plt.savefig('/Users/gary.dusbabek/Desktop/graphs/graph.png', dpi=400)