#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt

process_data = [
                {'cargaTick': 3, 'primerTick': 4, 'ticksBlock': 9, 'ticksCpu': 11, 'ultimoTick': 24},
                {'cargaTick': 5, 'primerTick': 25, 'ticksBlock': 11, 'ticksCpu': 5, 'ultimoTick': 41},
                {'cargaTick': 5, 'primerTick': 42, 'ticksBlock': 12, 'ticksCpu': 5, 'ultimoTick': 59}
               ]

fig, ax = plt.subplots(figsize=(10,5))

index = list(range(len(process_data)))
bar_width = 0.25

opacity = 0.9
error_config = {'ecolor': '0.3'}

def latency(p):
    return p["primerTick"]-p["cargaTick"]

def ready(p):
    return (p["ultimoTick"]-p["primerTick"])-(p["ticksBlock"]+p["ticksCpu"])+(p["primerTick"]-p["cargaTick"])

def cpu(p):
    return p["ticksCpu"]
def cpu_io(p):
    return p["ticksBlock"]+p["ticksCpu"]


def plot_data(ind, data, color, label):
    plt.bar([i + bar_width*ind for i in index],
        data,
        bar_width,
        alpha=opacity,
        color=color,
        error_kw=error_config,
        label=(label))

plot_data(0,[latency(p) for p in process_data], 'r', 'Latency')
plot_data(1,[ready(p) for p in process_data],   'g', 'Ready')
plot_data(2,[cpu(p) for p in process_data],     'b', 'CPU')
plot_data(3,[cpu_io(p) for p in process_data],  '#fafafa', 'CPU+IO')

ax.set_ylabel('Time')
ax.set_title('title')
ax.set_xticks([ i + 1.5 * bar_width for i in index])
ax.set_xticklabels(["Process %d" % i for i in xrange(len(process_data))])

plt.legend()

plt.tight_layout()
plt.grid()
plt.show()