def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type histogram")
argparser.add_argument('--bucketsize',
'-b',
action='store',
metavar='SIZE',
help="histogram bucket size in seconds",
default=60)
sub_args = vars(argparser.parse_args(unknown_args))
self.logscale = args['logscale']
# get bucket size, either as int (seconds) or as string
# (see timeunits above)
bs = sub_args['bucketsize']
try:
self.bucketsize = int(bs)
except ValueError:
self.bucketsize = self.timeunits[bs]
self.ylabel = "# connections opened/closed"
self.group_by = opened_closed
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type histogram")
argparser.add_argument('--bucketsize',
'-b',
action='store',
metavar='SIZE',
help="histogram bucket size in seconds",
default=60)
argparser.add_argument(
'--no-stacked',
action='store_true',
help=
"switch graph mode from stacked histogram (default) to side-by-side histograms.",
default=False)
sub_args = vars(argparser.parse_args(unknown_args))
self.logscale = args['logscale']
# get bucket size, either as int (seconds) or as string (see timeunits above)
bs = sub_args['bucketsize']
try:
self.bucketsize = int(bs)
except ValueError:
self.bucketsize = self.timeunits[bs]
self.barstacked = not sub_args['no_stacked']
self.ylabel = "# lines per %i second bin" % self.bucketsize
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
self.logscale = args['logscale']
# parse arguments further to get --yaxis argument
argparser = argparse.ArgumentParser("mplotqueries --type scatter")
argparser.add_argument('--yaxis',
'-y',
action='store',
metavar='FIELD',
default='duration')
argparser.add_argument('--yaxis-regex-mode',
action='store_true',
default=False)
args = vars(argparser.parse_args(unknown_args))
self.field = args['yaxis']
self.regex_mode = args['yaxis_regex_mode']
if self.regex_mode:
self.ylabel = 'regex: "%s"' % self.field
elif args['yaxis'] == 'duration':
self.ylabel = 'duration in ms'
else:
self.ylabel = args['yaxis']
self.durlines = []
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type histogram")
argparser.add_argument('--bucketsize', '-b', action='store',
metavar='SIZE',
help="histogram bucket size in seconds",
default=60)
argparser.add_argument('--no-stacked', action='store_true',
help=("switch graph mode from stacked "
"histogram (default) to side-by-side "
"histograms."), default=False)
sub_args = vars(argparser.parse_args(unknown_args))
self.logscale = args['logscale']
# get bucket size, either as int (seconds) or as string
# (see timeunits above)
bs = sub_args['bucketsize']
try:
self.bucketsize = int(bs)
except ValueError:
self.bucketsize = self.timeunits[bs]
self.barstacked = not sub_args['no_stacked']
self.ylabel = "# lines per %i second bin" % self.bucketsize
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type range")
argparser.add_argument('--gap', action='store', metavar='SEC', type=int, help="gap threshold in seconds after which a new line is started (default: 60)", default=None)
sub_args = vars(argparser.parse_args(unknown_args))
self.gap = sub_args['gap']
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type range")
argparser.add_argument('--gap', action='store', metavar='SEC',
type=int, help=("gap threshold in seconds "
"after which a new line is "
"started (default: 60)"),
default=None)
sub_args = vars(argparser.parse_args(unknown_args))
self.gap = sub_args['gap']
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --yaxis argument
self.argparser = argparse.ArgumentParser("mplotqueries --type scatter")
self.argparser.add_argument('--yaxis', '-y', action='store', metavar='FIELD', default='duration')
args = vars(self.argparser.parse_args(unknown_args))
self.field = args['yaxis']
if args['yaxis'] == 'duration':
self.ylabel = 'duration in ms'
else:
self.ylabel = args['yaxis']
def plot(self, axis, ith_plot, total_plots, limits):
artists = BasePlotType.plot(self, axis, ith_plot, total_plots, limits)
# parse all groups and plot currently open number of connections
artist = self.plot_total_conns(axis)
artists.append(artist)
return artists
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --yaxis argument
self.argparser = argparse.ArgumentParser("mplotqueries --type scatter")
self.argparser.add_argument('--yaxis',
'-y',
action='store',
metavar='FIELD',
default='duration')
args = vars(self.argparser.parse_args(unknown_args))
self.field = args['yaxis']
if args['yaxis'] == 'duration':
self.ylabel = 'duration in ms'
else:
self.ylabel = args['yaxis']
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
# parse arguments further to get --bucketsize argument
argparser = argparse.ArgumentParser("mplotqueries --type histogram")
argparser.add_argument('--bucketsize', '-b', action='store', metavar='SIZE', help="histogram bucket size in seconds", default=60)
sub_args = vars(argparser.parse_args(unknown_args))
self.logscale = args['logscale']
# get bucket size, either as int (seconds) or as string (see timeunits above)
bs = sub_args['bucketsize']
try:
self.bucketsize = int(bs)
except ValueError:
self.bucketsize = self.timeunits[bs]
self.ylabel = "# connections opened/closed"
def plot(self, axis, ith_plot, total_plots, limits):
artists = BasePlotType.plot(self, axis, ith_plot, total_plots, limits)
# parse all groups and plot currently open number of connections
artist = self.plot_total_conns(axis)
artists.append(artist)
return artists
def __init__(self, args=None, unknown_args=None):
BasePlotType.__init__(self, args, unknown_args)
self.logscale = args['logscale']
# parse arguments further to get --yaxis argument
argparser = argparse.ArgumentParser("mplotqueries --type scatter")
argparser.add_argument('--yaxis', '-y', action='store', metavar='FIELD', default='duration')
argparser.add_argument('--yaxis-regex-mode', action='store_true', default=False)
args = vars(argparser.parse_args(unknown_args))
self.field = args['yaxis']
self.regex_mode = args['yaxis_regex_mode']
if self.regex_mode:
self.ylabel = 'regex: "%s"' % self.field
elif args['yaxis'] == 'duration':
self.ylabel = 'duration in ms'
else:
self.ylabel = args['yaxis']
self.durlines = []
def __init__(self, args=None, unknown_args=None):
# Only call baseplot type constructor, we don't need argparser
BasePlotType.__init__(self, args, unknown_args)
self.ylabel = 'nscanned / n ratio'
def __init__(self, args=None, unknown_args=None):
# Only call baseplot type constructor, we don't need argparser
BasePlotType.__init__(self, args, unknown_args)
self.ylabel = 'nscanned / n ratio'
