def send_to_plot(dataset,plot,add=False,change_title=True,add_timestamp=True):
"""This routine appends a timestamp to the dataset title
in order to keep uniqueness of the title for later
identification purposes. It also maintains plot
consistency in terms of displaying d-spacing."""
from datetime import datetime
from Reduction import reduction
if add_timestamp:
timestamp = datetime.now().strftime("%H:%M:%S")
dataset.title = dataset.title + timestamp
# Check d-spacing status
if plot.ds:
if plot.ds[0].axes[0].name == 'd-spacing':
reduction.convert_to_dspacing(dataset)
elif plot.ds[0].axes[0].name == 'Two theta':
reduction.convert_to_twotheta(dataset)
if add:
plot.add_dataset(dataset)
else:
plot.set_dataset(dataset)
if change_title:
plot.title = dataset.title
#Update any widgets that keep a track of the plots
if plot == Plot3: #Delete only operates on plot 3
curves = ['All'] + map(lambda a:a.title,plot.ds)
plh_dataset.options = curves
plh_dataset.value = 'All'
def dspacing_change():
"""Toggle the display of d spacing on the horizontal axis"""
global Plot2, Plot3
from Reduction import reduction
plot_table = {'Plot 2': Plot2, 'Plot 3': Plot3}
target_plot = plot_table[str(ps_plotname.value)]
if target_plot.ds is None:
return
# Preliminary check we are not displaying something
# irrelevant, e.g. monitor counts
for ds in target_plot.ds:
if ds.axes[0].name not in ['Two theta', 'd-spacing']:
print 'Not converting, have axis = %s' % ds.axes[0].name
return
change_dss = copy(target_plot.ds)
# Check to see what change is required
need_d_spacing = ps_dspacing.value
# target_plot.clear() causes problems; use 'remove' instead
# need to set the xlabel by hand due to gplot bug
if need_d_spacing: target_plot.x_label = 'd-spacing (Angstroms)'
elif not need_d_spacing: target_plot.x_label = 'Two theta (Degrees)'
target_plot.y_label = 'Intensity'
for ds in change_dss:
current_axis = ds.axes[0].name
print '%s has axis %s' % (ds.title, current_axis)
if need_d_spacing:
result = reduction.convert_to_dspacing(ds)
elif not need_d_spacing:
result = reduction.convert_to_twotheta(ds)
if result == 'Changed':
target_plot.remove_dataset(ds)
target_plot.add_dataset(ds)
def dspacing_change():
"""Toggle the display of d spacing on the horizontal axis"""
global Plot2,Plot3
from Reduction import reduction
plot_table = {'Plot 2':Plot2, 'Plot 3':Plot3}
target_plot = plot_table[str(ps_plotname.value)]
if target_plot.ds is None:
return
# Preliminary check we are not displaying something
# irrelevant, e.g. monitor counts
for ds in target_plot.ds:
if ds.axes[0].name not in ['Two theta','d-spacing']:
return
change_dss = copy(target_plot.ds)
# Check to see what change is required
need_d_spacing = ps_dspacing.value
# target_plot.clear() causes problems; use 'remove' instead
# need to set the xlabel by hand due to gplot bug
if need_d_spacing: target_plot.x_label = 'd-spacing (Angstroms)'
elif not need_d_spacing: target_plot.x_label = 'Two theta (Degrees)'
target_plot.y_label = 'Intensity'
for ds in change_dss:
current_axis = ds.axes[0].name
print '%s has axis %s' % (ds.title,current_axis)
if need_d_spacing:
result = reduction.convert_to_dspacing(ds)
elif not need_d_spacing:
result = reduction.convert_to_twotheta(ds)
if result == 'Changed':
target_plot.remove_dataset(ds)
target_plot.add_dataset(ds)
def send_to_plot(dataset,
plot,
add=False,
change_title=True,
add_timestamp=True):
"""This routine appends a timestamp to the dataset title
in order to keep uniqueness of the title for later
identification purposes. It also maintains plot
consistency in terms of displaying d-spacing."""
from datetime import datetime
from Reduction import reduction
if add_timestamp:
timestamp = datetime.now().strftime("%H:%M:%S")
dataset.title = dataset.title + timestamp
# Check d-spacing status
if plot.ds:
axis_name = ''
try:
axis_name = plot.ds[0].axes[0].name
except IndexError:
pass
if axis_name == 'd-spacing':
reduction.convert_to_dspacing(dataset)
elif axis_name == 'Two theta':
reduction.convert_to_twotheta(dataset)
if add:
plot.add_dataset(dataset)
else:
plot.set_dataset(dataset)
if change_title:
plot.title = dataset.title
#Update any widgets that keep a track of the plots
if plot == Plot3: #Delete only operates on plot 3
curves = ['All'] + map(lambda a: a.title, plot.ds)
plh_dataset.options = curves
plh_dataset.value = 'All'