def plot(data, xlabel, ylabel, filename):
opts = tsg_plot.PlotOptions()
attribute_dict = {
"plot_type":
"line",
"data":
data,
"labels": ["little", "big"],
"legend_ncol":
2,
"file_name":
filename,
"figsize": (3.5, 1.5),
"fontsize":
8,
"xlabel":
xlabel,
"ylabel":
ylabel,
"colors": [
tsg_plot.colors['blue3'][2],
tsg_plot.colors['qualitative_paired'][5]
],
"rotate_labels":
True,
"rotate_labels_angle":
-30,
}
for k, v in attribute_dict.iteritems():
setattr(opts, k, v)
tsg_plot.add_plot(opts)
def plot(data, filename):
# Set up plotting options
opts = tsg_plot.PlotOptions()
# Benchmarks
cat = data['benchmarks']
# Overheads
subcat = data['policies']
opts.data = data['data']
opts.labels = [cat, subcat]
attribute_dict = \
{
'plot_type' : 'bar',
'show' : False,
'file_name' : filename,
'paper_mode' : True,
'figsize' : (3.5, 2.0),
'ylabel' : 'Overhead Difference [%]',
'legend_ncol' : 6,
'legend_handlelength' : 1.0,
'legend_columnspacing' : 0.8,
'legend_handletextpad' : 0.5,
'legend_bbox' : [-0.05, 1.05, 1, 0.1],
'rotate_labels' : True,
'rotate_labels_angle' : -45,
'fontsize' : 8,
'bar_width' : 0.5,
'yrange' : [-50, 50],
#'colors' : ['#deebf7', '#9acae1', '#3182bd', '#deebf7', '#9ecae1', '#3182bd'],
'colors' : ['#deebf7', '#3182bd'],
}
for name, value in attribute_dict.iteritems():
setattr(opts, name, value)
# Plot
tsg_plot.add_plot(opts)
def plot(data, labels):
opts = tsg_plot.PlotOptions()
opt_dict = \
{
"data" : data,
"labels" : labels,
"plot_type" : "line",
"figsize" : (7, 2.5),
"fontsize" : 8,
"file_name" : "plot_prediction.pdf",
"symbols" : ['']*10,
"legend_ncol" : 4,
"xlabel" : "Job",
"ylabel" : "Execution Time [us]",
#"colors" : ["#000000", "#e31a1c"]
"colors" : tsg_plot.colors["qualitative"],
"linestyles" : ['-', '-', '--', '--'],
}
for k, v in opt_dict.iteritems():
setattr(opts, k, v)
tsg_plot.add_plot(opts)
def plot(data):
opts = tsg_plot.PlotOptions()
opts.data = []
opts.labels = [[], []]
opts.colors = []
color_keys = []
for (k, v) in data['data'].iteritems():
opts.data.append(v)
opts.labels[1].append(k)
# Use same colors based on key
# color_key = k.split("_")[-2]
# if not color_key in color_keys:
# color_keys.append(color_key)
# opts.colors.append(colors[color_keys.index(color_key)])
opts.colors = colors
attribute_dict = \
{
'show' : False,
'file_name' : 'scatter.pdf',
'plot_type' : 'scatter',
'paper_mode' : True,
'figsize' : (7.0, 3.5),
'legend_ncol' : 3,
'ylabel' : 'Deadline Misses [%]',
'xlabel' : 'Energy [%]',
'fontsize' : 8,
'title' : '',
#'yrange' : [0, 3],
'symbols' : ['o']*15
}
for name, value in attribute_dict.iteritems():
setattr(opts, name, value)
tsg_plot.add_plot(opts)
def plot_common(data, benchmarks, metrics, policies, filename):
"""
Common plot options.
"""
opts = tsg_plot.PlotOptions()
attribute_dict = \
{
'figsize' : (5.8, 2.0),
'fontsize' : 8,
'num_rows' : 1,
'num_cols' : 2,
'labels' : [benchmarks, []],
'legend_ncol' : 6,
'legend_handlelength' : 1.0,
'legend_columnspacing' : 0.8,
'legend_handletextpad' : 0.5,
'legend_bbox' : [0.05, 1.10, 2., 0.1],
'rotate_labels' : True,
'rotate_labels_angle' : -30,
}
for k, v in attribute_dict.iteritems():
setattr(opts, k, v)
return opts
#!/usr/bin/env python
import sys
from pylab import *
from parse_lib import *
from dvfs_sim_lib import *
import tsg_plot
import numpy
if len(sys.argv) == 2:
filename = sys.argv[1]
else:
print "usage: graph_metrics.py filename"
sys.exit()
opts = tsg_plot.PlotOptions()
# Common options for plots
attribute_dict = \
{
'colors' : ["#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99", "#e31a1c", "#ff7f00", "#cab2d6", "#6a3d9a", "#ffff99", "#b15928", "#fdbf6f"],
'bar_width' : 0.7,
'figsize' : (7.0, 3.0),
'fontsize' : 10,
'legend_ncol' : 2,
'legend_bbox': (0.0, 1.1, 1.0, 0.1),
'file_name' : 'plot_metrics.pdf',
'rotate_labels' : True,
'rotate_labels_angle' : -45,
'xlabel' : '',
'title' : '',
'show' : False,
