def main():
cwd = os.getcwd()
plot_json = utils.retrieve_and_validate_json(
cwd, json_name='plot.json', schema_name='../plot-schema.json')
data_paths = find_all_data_paths(cwd, plot_json)
files = [str(f) for dp in data_paths for f in glob.glob(dp + '/*.dat')]
pic_path = os.path.abspath(os.path.join(cwd, 'plots')) + '/'
data = data_utils.load_and_clean_files(files, plot_json)
# TODO: (bcn 2017-02-22) make this steerable
for idx, item in enumerate(data):
if 'Analytic' in item[0]:
data[idx][1][1] *= 1000
for output in plot_json.get('output', []):
data_to_show = data_utils.get_associated_plot_data_single(data, output)
for data_item in data_to_show:
for x in output.get('print_points', []):
print x, data_utils.get_y_where_x(data_item, x)
plot_this = partial(bcn_plot.plot, data=data, pic_path=pic_path)
plots = plot_json['plots']
if args.plot is not None:
plots = [p for p in plots if args.plot in p['output_file']]
if args.jobs > 1:
pool = mp.Pool(processes=args.jobs)
pool.map(plot_this, plots)
else:
map(plot_this, plots)
print 'Done with all plots'
def main():
pic_path = os.path.abspath('./plots') + '/'
data_path = os.path.abspath('./scan-results')
files = glob.glob(data_path + '/*.dat')
plot_json = load_json('plot.json')
data = data_utils.load_and_clean_files(files)
pool = mp.Pool(processes=3)
plot_this = partial(bcn_plot.plot,
data=data,
pic_path=pic_path,
linestyle_decider=ls_decider,
pretty_label=pretty_label)
#output_file='tth-scan')
pool.map(plot_this, plot_json['plots'])
def main():
pic_path = os.path.abspath('./plots') + '/'
data_path = os.path.abspath('./scan-results')
files = glob.glob(data_path + '/*.dat')
plot_json = ut.retrieve_and_validate_json(
'./', json_name='plot.json', schema_name='../plot-schema.json')
data = dt.load_and_clean_files(files, plot_json)
pool = mp.Pool(processes=3)
plot_this = partial(bcn_plot.plot,
plot_extra=plot_x_axis,
data=data,
pic_path=pic_path,
linestyle_decider=ls_decider,
pretty_label=pretty_label)
pool.map(plot_this, plot_json['plots'])
def main():
pic_path = os.path.abspath('./plots') + '/'
data_path = os.path.abspath('./scan-results')
files = glob.glob(data_path + '/*.dat')
plot_json = load_json('plot.json')
data = data_utils.load_and_clean_files(files)
for index, item in enumerate(data):
print 'name: ', data[index][0]
print 'x: ', data[index][1][0]
print 'y: ', data[index][1][1]
pool = mp.Pool(processes=3)
plot_this = partial(bcn_plot.plot,
plot_extra=plot_x_axis,
data=data,
pic_path=pic_path,
linestyle_decider=ls_decider,
pretty_label=pretty_label)
pool.map(plot_this, plot_json['plots'])
def main():
print 'Start'
pic_path = os.path.abspath('./plots') + '/'
data_path = os.path.abspath('./scan-results')
data_path2 = os.path.abspath('../ee_tt/scan-results')
files = glob.glob(data_path + '/*.dat')
files += glob.glob(data_path2 + '/*.dat')
data = data_utils.load_and_clean_files(files)
for idx, item in enumerate(data):
if 'Analytic' in item[0]:
data[idx][1][1] *= 1000
plot_this = partial(bcn_plot.plot,
data=data,
pic_path=pic_path,
linestyle_decider=ls_decider,
pretty_label=pretty_label)
plot_json = load_json('plot.json')
if parallel:
pool = mp.Pool(processes=4)
pool.map(plot_this, plot_json['plots'])
else:
map(plot_this, plot_json['plots'])