print(i)
save_folder = '../S{}'.format(i)
# Get the folder where the data is
folder = '/mnt/bulk-data/research_data/USC_beamtime/APS_March_2016/S' \
+ str(i) + '/temp_exp'
# Get the run header assocaited with that folder
hdr = db(run_folder=folder)[0]
# Mux the data so that we have the correct Temp->data relationship
dm = DataMuxer()
dm.append_events(get_events(hdr))
df = dm.to_sparse_dataframe()
print(df.keys())
binned = dm.bin_on('img', interpolation={'T': 'linear'})
for plot_type in [
'gr',
'chi'
]:
if plot_type is 'gr':
# Only to the G(r)
key_list = [f for f in os.listdir(folder) if
f.endswith('.gr') and not f.startswith('d')]
# If we are working with G(r) files use these offset and read parameters
offset = .1
skr = 0
xlims = [
(0, 40),
(0, 10),
