def plh_sum_proc():
"""Sum all datasets contained in plot 3"""
from Reduction import reduction
from Formats import output
filename = str(plh_file.value)
datasets = Plot3.ds
approach = str(plh_sum_type.value)
if approach == 'Ideal':
newds = reduction.sum_datasets(datasets)
send_to_plot(newds,Plot2,add=False)
else:
newds = reduction.merge_datasets(datasets)
if approach == 'Cluster':
cluster = float(plh_cluster.value)
if cluster > 0:
newds,info_string = reduction.debunch(newds,(cluster,''))
send_to_plot(newds,Plot2,add=False)
n_logger.log_plot(Plot2, footer = Plot2.title)
# Write to file
if filename != '':
output.write_cif_data(newds,filename)
if output_xyd.value:
output.write_xyd_data(newds,filename)
if output_fxye.value:
output.write_fxye_data(newds,filename)
if output_topas.value:
output.write_xyd_data(newds,filename,comment_char="!")
def testClusterMerge(self):
"""Test that values are clustered correctly"""
output = reduction.merge_datasets([self.first_dataset,self.second_dataset,self.third_dataset])
output = reduction.debunch(output,0.25)
self.assertEqual(output[0],2)
self.assertAlmostEqual(output.var[0], 3.5/9.0)
self.assertEqual(output.axes[0],1.02)
def sub_plot_proc():
"""Subtract two datasets given their titles only"""
# We use the same approach as summation in the
# main Echidna GUI routines. We first merge,
# then sum.
top_name = str(first_ds.value)
bot_name = str(subbed_ds.value)
top_ds, t = find_ds_by_title(top_name)
bottom_ds, b = find_ds_by_title(bot_name)
neg_ds = bottom_ds * (-1.0)
final_ds = reduction.merge_datasets([top_ds, neg_ds])
final_ds, info_string = reduction.debunch(final_ds, (0.03, "None")) # for testing, for now
final_ds.title = "Subtracted datasets"
Plot2.set_dataset(final_ds)
def plh_sum_proc():
"""Sum all datasets contained in plot 3"""
from Reduction import reduction
from Formats import output
filename = str(plh_file.value)
datasets = Plot3.ds
approach = str(plh_sum_type.value)
if approach == 'Ideal':
newds = reduction.sum_datasets(datasets)
send_to_plot(newds, Plot2, add=False)
else:
newds = reduction.merge_datasets(datasets)
if approach == 'Cluster':
cluster = float(plh_cluster.value)
if cluster > 0:
newds = reduction.debunch(newds, cluster)
send_to_plot(newds, Plot2, add=False)
# Write to file
if filename != '':
output.write_cif_data(newds, filename)
if output_xyd.value:
output.write_xyd_data(newds, filename)
if output_fxye.value:
output.write_fxye_data(newds, filename)
def plh_sum_proc():
"""Sum all datasets contained in plot 3"""
from Reduction import reduction
from Formats import output
filename = str(plh_file.value)
datasets = Plot3.ds
approach = str(plh_sum_type.value)
if approach == 'Ideal':
newds = reduction.sum_datasets(datasets)
send_to_plot(newds,Plot2,add=False)
else:
newds = reduction.merge_datasets(datasets)
if approach == 'Cluster':
cluster = float(plh_cluster.value)
if cluster > 0:
newds = reduction.debunch(newds,cluster)
send_to_plot(newds,Plot2,add=False)
# Write to file
if filename != '':
output.write_cif_data(newds,filename)
if output_xyd.value:
output.write_xyd_data(newds,filename)
if output_fxye.value:
output.write_fxye_data(newds,filename)