def plot_metrics(main_directory, list_directories, directory_dest_metrics, main_directory_paired = "", list_directories_paired = []):
print "\t\t[ Plotting metrics... ]"
for metric in metrics:
for j in range(0, 2):
m = metric + "_" + parts[j]
xlog = False
ylog = False
if metric in metrics_log:
xlog = True
ylog = True
print "\tPlotting %s ..." % m
xlabel = parts[j].title() + " " + metric
########################
# PLOT DISTRIBUTION
########################
list_plot_parameters = []
list_data = []
list_legend = []
i = 0
ci = 0
for directory in list_directories:
data_distribution = {}
with open(main_directory + "/" + directory + "/metrics/" + parts[j] + "/" + m + "/" + m + "_distribution.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_distribution[modules.extra.num(line[0])] = modules.extra.num(line[1])
list_data.append(data_distribution)
if paired:
list_plot_parameters.append(dict(marker=list_markers[i], markersize=12, linewidth=0, alpha=0.5, color=colorset_paired[ci]))
else:
list_plot_parameters.append(dict(marker=list_markers[i], markersize=12, linewidth=0, alpha=0.5, color=colorset[i]))
list_legend.append(directory)
if paired:
data_distribution = {}
with open(main_directory_paired + "/" + list_directories_paired[i] + "/metrics/" + parts[j] + "/" + m + "/" + m + "_distribution.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_distribution[modules.extra.num(line[0])] = modules.extra.num(line[1])
list_data.append(data_distribution)
list_plot_parameters.append(dict(marker=list_markers[i], markersize=12, linewidth=0, alpha=0.5, color=colorset_paired[ci + 1]))
list_legend.append(list_directories_paired[i])
i += 1
ci += 2
title = ""
ylabel = ""
plot_file = directory_dest_metrics + "/" + parts[j] + "/distribution_" + m
P = Plot(plot_file, title, xlabel, ylabel, xlog, ylog, list_legend)
P.plot_multiple(list_data, list_plot_parameters)
########################
########################
# PLOT CDF
########################
list_plot_parameters = []
list_data = []
list_legend = []
i = 0
ci = 0
for directory in list_directories:
data_reverse_cdf = {}
with open(main_directory + "/" + directory + "/metrics/" + parts[j] + "/" + m + "/" + m + "_reverse_cdf.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_reverse_cdf[modules.extra.num(line[0])] = modules.extra.num(line[1])
list_data.append(data_reverse_cdf)
if paired:
list_plot_parameters.append(dict(linestyle="-", marker=list_markers[i], markersize=14, linewidth=2.5, alpha=0.5, markeredgecolor=colorset_paired[ci], color=colorset_paired[ci]))
else:
list_plot_parameters.append(dict(linestyle="-", marker=list_markers[i], markersize=14, linewidth=2.5, alpha=0.5, markeredgecolor=colorset[i], color=colorset[i]))
list_legend.append(directory)
if paired:
data_reverse_cdf = {}
with open(main_directory_paired + "/" + list_directories_paired[i] + "/metrics/" + parts[j] + "/" + m + "/" + m + "_reverse_cdf.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_reverse_cdf[modules.extra.num(line[0])] = modules.extra.num(line[1])
list_data.append(data_reverse_cdf)
list_plot_parameters.append(dict(linestyle="-", marker=list_markers[i], markersize=14, linewidth=2.5, alpha=0.5, markeredgecolor=colorset_paired[ci + 1], color=colorset_paired[ci + 1]))
list_legend.append(list_directories_paired[i])
i += 1
ci += 2
title = ""
ylabel = ""
plot_file = directory_dest_metrics + "/" + parts[j] + "/reverse_cdf_" + m
P = Plot(plot_file, title, xlabel, ylabel, False, False, list_legend, formatter=True)
P.plot_multiple(list_data, list_plot_parameters)
def plot_correlations(directory_correlations, parts_directory_plot_correlations, legend):
print "\t\t[ Plotting correlations... ]"
for correlation in correlations:
metrics = correlation.split("-")
for i in range(0, 2):
correlation = metrics[0] + "_" + parts[i] + "-" + metrics[1] + "_" + parts[i]
d = directory_correlations + "/" + parts[i] + "/" + correlation
if not os.path.isdir(d):
print "[%s directory not found]" % d
else:
xlog = False
ylog = False
if metrics[0] in metrics_log:
xlog = True
if metrics[1] in metrics_log:
ylog = True
print "\tPlotting %s ..." % d
list_plot_parameters = []
list_data = []
########################
# SCATTER POINTS
########################
data_scatter = {}
with open(d + "/" + correlation + "_scatter.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_scatter[modules.extra.num(line[0])] = modules.extra.num(line[1])
highest = max(data_scatter.values())
list_plot_parameters.append(dict(marker="o", markersize=3, linewidth=0, alpha=0.5, color=colorset[0]))
list_data.append(data_scatter)
########################
# CURVE FITTING (AVG)
########################
data_avg_curve = {}
with open(d + "/" + correlation + "_avg_curve.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_avg_curve[modules.extra.num(line[0])] = modules.extra.num(line[1])
list_plot_parameters.append(dict(linestyle="--", marker="s", markersize=8, linewidth=2.5, color=colorset[1]))
list_data.append(data_avg_curve)
'''data_linear = {}
with open(d + "/" + correlation + "_linear_regression.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
if line[0] in nodes or not nodes:
data_linear[num(line[0])] = num(line[1])
list_plot_parameters.append(dict(linestyle="-", marker="o", markersize=6, linewidth=1.5, alpha=0.75))
list_data.append(data_linear)'''
'''data_fitting_curve = {}
with open(d + "/" + correlation + "_fitting_curve.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
if line[0] in nodes or not nodes:
data_fitting_curve[num(line[0])] = num(line[1])
list_plot_parameters.append(dict(linestyle="-", marker="o", markersize=6, linewidth=1.5, alpha=0.75))
list_data.append(data_fitting_curve)'''
title = ""
xlabel = metrics[0]
ylabel = metrics[1]
plot_file = parts_directory_plot_correlations[i] + "/" + correlation
try:
P = Plot(plot_file, title, xlabel, ylabel, True, True, [legend], ylimit=[0, highest])
P.plot_multiple(list_data, list_plot_parameters)
except Exception, e:
print "Error during plotting process : %s" % e
def plot_correlations(main_directory, list_directories, directory_dest_correlations, main_directory_paired = "", list_directories_paired = []):
print "\t\t[ Plotting correlations... ]"
for correlation in correlations:
metrics = correlation.split("-")
for j in range(0, 2):
correlation = metrics[0] + "_" + parts[j] + "-" + metrics[1] + "_" + parts[j]
xlog = False
ylog = False
if metrics[0] in metrics_log:
xlog = True
if metrics[1] in metrics_log:
ylog = True
print "\tPlotting %s ..." % correlation
xlabel = parts[j].title() + " " + metrics[0]
ylabel = parts[j].title() + " " + metrics[1]
list_plot_parameters = []
list_data = []
list_data_avg_curve = []
list_plot_parameters_avg_curve = []
list_legend = []
highest = 0.0
i = 0
ci = 0
for directory in list_directories:
maximum = 0.0
data_scatter = {}
with open(main_directory + "/" + directory + "/correlations/" + parts[j] + "/" + correlation + "/" + correlation + "_scatter.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_scatter[modules.extra.num(line[0])] = modules.extra.num(line[1])
maximum = max(data_scatter.values())
if highest < maximum:
highest = maximum
if paired:
list_plot_parameters.append(dict(marker=list_markers[i], markersize=8, linewidth=0, alpha=0.5, color=colorset_paired[ci]))
else:
list_plot_parameters.append(dict(marker=list_markers[i], markersize=8, linewidth=0, alpha=0.5, color=colorset[i]))
list_data.append(data_scatter)
data_avg_curve = {}
with open(main_directory + "/" + directory + "/correlations/" + parts[j] + "/" + correlation + "/" + correlation + "_avg_curve.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_avg_curve[modules.extra.num(line[0])] = modules.extra.num(line[1])
if paired:
list_plot_parameters_avg_curve.append(dict(linestyle="--", marker=list_markers[i], markersize=13, linewidth=2.5, color=colorset_paired[ci]))
else:
list_plot_parameters_avg_curve.append(dict(linestyle="--", marker=list_markers[i], markersize=13, linewidth=2.5, color=colorset[i]))
if data_avg_curve:
list_data_avg_curve.append(data_avg_curve)
else:
print "[Impossible to retrieve average curve data from '%s']" % directory
list_legend.append(directory)
if paired:
maximum = 0.0
data_scatter = {}
with open(main_directory_paired + "/" + list_directories_paired[i] + "/correlations/" + parts[j] + "/" + correlation + "/" + correlation + "_scatter.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_scatter[modules.extra.num(line[0])] = modules.extra.num(line[1])
maximum = max(data_scatter.values())
if highest < maximum:
highest = maximum
list_plot_parameters.append(dict(marker=list_markers[i], markersize=8, linewidth=0, alpha=0.5, color=colorset_paired[ci + 1]))
list_data.append(data_scatter)
data_avg_curve = {}
with open(main_directory_paired + "/" + list_directories_paired[i] + "/correlations/" + parts[j] + "/" + correlation + "/" + correlation + "_avg_curve.data", 'r') as file:
for line in file:
line = line.replace("\n", "").split()
data_avg_curve[modules.extra.num(line[0])] = modules.extra(line[1])
list_plot_parameters_avg_curve.append(dict(linestyle="--", marker=list_markers[i], markersize=13, linewidth=2.5, color=colorset_paired[ci + 1]))
if data_avg_curve:
list_data_avg_curve.append(data_avg_curve)
else:
print "[Impossible to retrieve average curve data from %s]" % list_directories_paired[i]
list_legend.append(list_directories_paired[i])
i += 1
ci += 2
title = ""
plot_file = directory_dest_correlations + "/" + parts[j] + "/" + correlation
list_data.extend(list_data_avg_curve)
list_plot_parameters.extend(list_plot_parameters_avg_curve)
P = Plot(plot_file, title, xlabel, ylabel, xlog, ylog, list_legend, ylimit=[0, highest])
P.plot_multiple(list_data, list_plot_parameters)
