content,
fontsize=8,
horizontalalignment='left',
verticalalignment='top')
parser = OptionParser()
parser.add_option("-i",
"--interval",
dest="interval",
help="The interval",
metavar="INTEGER",
default=1)
(options, args) = parser.parse_args()
(input_path, output_path) = args
sar = Sar(input_path, int(options.interval))
metric_names = sorted(sar.get_metric_names())
fig, axes = plt.subplots(nrows=metric_names.__len__(), sharex=True)
fig.set_size_inches(10, 24)
fig.subplots_adjust(top=0.98, left=0.45, right=0.92, bottom=0.01)
for i, ax in enumerate(axes):
t, x = sar.get_metric2(metric_names[i])
ax.fill_between(t, [0] * t.__len__(), x, linewidth=0, color="purple")
ax.set_axis_off()
put_text(fig, ax, metric_names[i], x)
fig.savefig(output_path)
from optparse import OptionParser
def put_text(fig,ax,target,data):
label_ypos = ax.get_position().y1
av = np.average(data)
median =np.median(data)
max = np.max(data)
content = "%(target)s(med: %(median).1f max: %(max).1f $\mu$: %(av).1f)" %locals()
fig.text(0.01, label_ypos, content, fontsize=8, horizontalalignment='left', verticalalignment='top')
parser = OptionParser()
parser.add_option("-i", "--interval", dest="interval",
help="The interval", metavar="INTEGER", default=1)
(options, args) = parser.parse_args()
(input_path, output_path) = args
sar = Sar(input_path, int(options.interval))
metric_names = sorted(sar.get_metric_names())
fig, axes = plt.subplots(nrows=metric_names.__len__(), sharex=True)
fig.set_size_inches(10,24)
fig.subplots_adjust(top=0.98, left=0.45, right=0.92, bottom=0.01)
for i,ax in enumerate(axes):
t,x = sar.get_metric2(metric_names[i])
ax.fill_between(t,[0]*t.__len__(),x, linewidth=0, color="purple")
ax.set_axis_off()
put_text(fig,ax,metric_names[i],x)
fig.savefig(output_path)
