def plot_grouped_data(dict_of_dicts, plot_parameters, plot_filename=None):
get_color_parameter = plot_parameters['get_color_parameter']
color_dict = plot_parameters['color_dict']
color_label_prepend = plot_parameters['color_label_prepend']
timing_row_to_color = lambda timing_row: \
color_dict[get_color_parameter(timing_row)]
get_marker_parameter = plot_parameters['get_marker_parameter']
marker_dict = plot_parameters['marker_dict']
marker_label_prepend = plot_parameters['marker_label_prepend']
timing_row_to_marker = lambda timing_row: \
marker_dict[get_marker_parameter(timing_row)]
vary_what = plot_parameters['vary_what']
which_kernel = plot_parameters['which_kernel']
#
fh = pylab.figure()
for configuration, run_data in six.iteritems(dict_of_dicts):
x = sorted(run_data.keys())
_y = [run_data[el] for el in x]
y = map(get_time_per_step, _y)
#
plot_args = dict()
first_timing_row = run_data.values()[0]
color = timing_row_to_color(first_timing_row)
plot_args['color'] = color
marker = timing_row_to_marker(first_timing_row)
plot_args['marker'] = marker
label = str(configuration)
plot_args['label'] = label
#
pylab.plot(x, y, **plot_args)
#
pylab.xlabel('# %s' % vary_what)
pylab.ylabel('time per step (seconds)')
pylab.title('Timing analysis for kernel: %s' % which_kernel)
# pu.legend_outside(bbox_to_anchor=(0.5, -.1), ncol=4, label_cmp=label_cmp)
pu.legend_outside_from_dicts(marker_dict,
color_dict,
marker_label_prepend=marker_label_prepend,
color_label_prepend=color_label_prepend,
bbox_to_anchor=(0.5, -.1),
label_cmp=label_cmp)
if plot_filename is not None:
pu.savefig_legend_outside(plot_filename)
else:
pylab.ion()
pylab.show()
return fh
def plot_grouped_data(dict_of_dicts, plot_parameters, plot_filename=None):
get_color_parameter = plot_parameters["get_color_parameter"]
color_dict = plot_parameters["color_dict"]
color_label_prepend = plot_parameters["color_label_prepend"]
timing_row_to_color = lambda timing_row: color_dict[get_color_parameter(timing_row)]
get_marker_parameter = plot_parameters["get_marker_parameter"]
marker_dict = plot_parameters["marker_dict"]
marker_label_prepend = plot_parameters["marker_label_prepend"]
timing_row_to_marker = lambda timing_row: marker_dict[get_marker_parameter(timing_row)]
vary_what = plot_parameters["vary_what"]
which_kernel = plot_parameters["which_kernel"]
#
fh = pylab.figure()
for configuration, run_data in six.iteritems(dict_of_dicts):
x = sorted(run_data.keys())
_y = [run_data[el] for el in x]
y = map(get_time_per_step, _y)
#
plot_args = dict()
first_timing_row = run_data.values()[0]
color = timing_row_to_color(first_timing_row)
plot_args["color"] = color
marker = timing_row_to_marker(first_timing_row)
plot_args["marker"] = marker
label = str(configuration)
plot_args["label"] = label
#
pylab.plot(x, y, **plot_args)
#
pylab.xlabel("# %s" % vary_what)
pylab.ylabel("time per step (seconds)")
pylab.title("Timing analysis for kernel: %s" % which_kernel)
# pu.legend_outside(bbox_to_anchor=(0.5, -.1), ncol=4, label_cmp=label_cmp)
pu.legend_outside_from_dicts(
marker_dict,
color_dict,
marker_label_prepend=marker_label_prepend,
color_label_prepend=color_label_prepend,
bbox_to_anchor=(0.5, -0.1),
label_cmp=label_cmp,
)
if plot_filename is not None:
pu.savefig_legend_outside(plot_filename)
else:
pylab.ion()
pylab.show()
return fh
def plot_grouped_data(dict_of_dicts, plot_parameters):
get_color_parameter = plot_parameters['get_color_parameter']
color_dict = plot_parameters['color_dict']
color_label_prepend = plot_parameters['color_label_prepend']
timing_row_to_color = lambda timing_row: \
color_dict[get_color_parameter(timing_row)]
get_marker_parameter = plot_parameters['get_marker_parameter']
marker_dict = plot_parameters['marker_dict']
marker_label_prepend = plot_parameters['marker_label_prepend']
timing_row_to_marker = lambda timing_row: \
marker_dict[get_marker_parameter(timing_row)]
vary_what = plot_parameters['vary_what']
which_kernel = plot_parameters['which_kernel']
def plot_run_data(configuration, run_data):
x = sorted(run_data.keys())
_y = [run_data[el] for el in x]
y = map(get_time_per_step, _y)
#
first_timing_row = run_data.values()[0]
color = timing_row_to_color(first_timing_row)
marker = timing_row_to_marker(first_timing_row)
label = str(configuration)
pylab.plot(x, y, color=color, marker=marker, label=label)
return
#
fh = pylab.figure()
for configuration, run_data in six.iteritems(dict_of_dicts):
plot_run_data(configuration, run_data)
#
pylab.xlabel('# %s' % vary_what)
pylab.ylabel('time per step (seconds)')
pylab.title('Timing analysis for kernel: %s' % which_kernel)
# pu.legend_outside(bbox_to_anchor=(0.5, -.1), ncol=4, label_cmp=label_cmp)
pu.legend_outside_from_dicts(marker_dict,
color_dict,
marker_label_prepend=marker_label_prepend,
color_label_prepend=color_label_prepend,
bbox_to_anchor=(0.5, -.1),
label_cmp=label_cmp)
return fh
def plot_grouped_data(dict_of_dicts, plot_parameters):
get_color_parameter = plot_parameters['get_color_parameter']
color_dict = plot_parameters['color_dict']
color_label_prepend = plot_parameters['color_label_prepend']
timing_row_to_color = lambda timing_row: \
color_dict[get_color_parameter(timing_row)]
get_marker_parameter = plot_parameters['get_marker_parameter']
marker_dict = plot_parameters['marker_dict']
marker_label_prepend = plot_parameters['marker_label_prepend']
timing_row_to_marker = lambda timing_row: \
marker_dict[get_marker_parameter(timing_row)]
vary_what = plot_parameters['vary_what']
which_kernel = plot_parameters['which_kernel']
def plot_run_data(configuration, run_data):
x = sorted(run_data.keys())
_y = [run_data[el] for el in x]
y = map(get_time_per_step, _y)
#
first_timing_row = run_data.values()[0]
color = timing_row_to_color(first_timing_row)
marker = timing_row_to_marker(first_timing_row)
label = str(configuration)
pylab.plot(x, y, color=color, marker=marker, label=label)
return
#
fh = pylab.figure()
for configuration, run_data in dict_of_dicts.iteritems():
plot_run_data(configuration, run_data)
#
pylab.xlabel('# %s' % vary_what)
pylab.ylabel('time per step (seconds)')
pylab.title('Timing analysis for kernel: %s' % which_kernel)
# pu.legend_outside(bbox_to_anchor=(0.5, -.1), ncol=4, label_cmp=label_cmp)
pu.legend_outside_from_dicts(marker_dict, color_dict,
marker_label_prepend=marker_label_prepend,
color_label_prepend=color_label_prepend, bbox_to_anchor=(0.5, -.1),
label_cmp=label_cmp)
return fh
