# This is the example we published in our IPAC'11 paper.
from matplotlib import pyplot as plt
from cern import pymad as pm
# create the service
# pms = pm.init('cpymad')
pms = pm.init("jpymad", start="gui")
# pms = pm.init('jpymad', start='service')
# print the name of all model definitions
print(pms.mdefnames)
# get one model-definition
model = pms.create_model("lhc")
# obtain get twiss table in a python object
table, summary = model.twiss(columns=["name", "s", "betx", "bety"])
# plot the result
plt.plot(table.s, table.betx)
plt.show()
'''
Created on Aug 20, 2011
@author: kaifox
'''
from cern import pymad as pm
#pm.init('cpymad')
#pm.init('jpymad', start='gui')
pms=pm.init('jpymad', start='service')
# print the name of all model definitions
pm.ls_mdefs()
# list the available (running) models
pm.ls_models()
pm.cleanup()
