Plotter library function to graph Gevent benchmarks with Plotly

plotter.py

import plotly.plotly as py
from plotly import tools
from plotly.graph_objs import *
from plotly.offline import plot
from numpy import * 

# Make a gradient pattern of 12 colors.
N = 12
colors = ['hsl('+str(h)+',50%'+',50%)' for h in linspace(0, 360, N)]


def graph_ops(filename, data, offline=True):
    traces = []
    for count, series in enumerate(data['series']):
        traces.append(Bar(
            name="{} ops".format(series['name']),
            y = [series['name']],
            x = [series['total_ops']],
            orientation='h',
            marker=dict(color=colors[count])
        ))
    layout = Layout(
        title=data['title'],
        legend=dict(bordercolor="#444", bgcolor="#eee", borderwidth=1),
        margin=dict(b=100, l=150, t=80, r=150),
        yaxis=dict(
            title="Number of Greenlets",
            type="category",
            showline=True,
            showgrid=True,
        ),
        xaxis=dict(title="Total Operations", showline=True)
    )
    fig = Figure(data=traces, layout=layout)
    if offline:
        print plot(fig, filename=filename, auto_open=False, show_link=True)
    else:
        print py.plot(fig, filename=filename, auto_open=False, show_link=True)

def graph_latency(filename, data, offline=True):
    traces = []
    for count, series in enumerate(data['series']):
        traces.append(Box(
            x = series['data'],
            name = series['name'],
            boxmean = True,
            marker=dict(color=colors[count])
        ))
                
    layout = Layout(
        title=data['title'],
        legend=dict(bordercolor="#444", bgcolor="#eee", borderwidth=1),
        margin=dict(b=100, l=150, t=80, r=150),
        yaxis=dict(
            title="Number of Greenlets",
            type="category",
            showline=True,
            showgrid=True,
        ),
        xaxis=dict(title="Latency (seconds)", showline=True)
    )

    fig = Figure(data=traces, layout=layout)
    if offline:
        print plot(fig, filename=filename, auto_open=False, show_link=True)
    else:
        print py.plot(fig, filename=filename, auto_open=False, show_link=True)