# from_emacs was called block_me
from_emacs = not hasattr(sys, 'ps1')
if from_emacs:
print('from emacs')
os.environ['PYFUSION_VERBOSE'] = '-1' # keep clutter down
import pyfusion
pyfusion.VERBOSE = -1 # why doesn't the environ above work?
da = DA(filename, load=1, verbose=pyfusion.VERBOSE)
if 'info' in da:
pprint.pprint(da['info'])
if hasattr(da, 'info'):
da.info()
sys.stdout.flush(
) # works, but not effective in emacs, at least when ! is used.
if len(sys.argv) > 2:
key = sys.argv[2]
elif 'ne18' in da:
typ = 'LP'
key = 'ne18'
elif 'phases' in da:
typ = 'FS'
key = 'phases'
else:
raise LookupError('Keys available are: ' + str(list(da)))
da.plot(key)
plt.show(block=block_me)
from pyfusion.data.DA_datamining import DA
da9=DA('LP20160309_42_L57_errest_cov_lpf=9.npz')
da99=DA('LP20160309_42_L57_errest_cov_lpf=99.npz')
axs=da9.plot('Te',sharey='all')
for i in range(len(da99['info']['channels'])): axs[i].plot(da99['t_mid'],da99.masked['Te'][:,i])
ylim(0,60)
show()
plt.plot(ECEdata.timebase + dtece, ECEdata.signal/1000,label='ECE_13',color='red', lw=0.3)
plt.plot(echdata.timebase - tech, echdata.signal/1000,label='ECH (MW)',color='magenta', lw=0.3)
plt.legend()
plt.title(da572.name)
plt.xlim(-0.01,1)
plt.show(0)
plt.figure()
da57=DA(base + '57.npz')
da53=DA(base + '53.npz')
ch3=2
plt.plot(dt+da53['t_mid'],da53['Te'][:,ch3], label='Te s'+da53['info']['channels'][ch3][3:])
ch4=1
plt.plot(dt+da53['t_mid'],da53['Te'][:,ch4], label='Te s'+da53['info']['channels'][ch4][3:])
#plt.plot(np.array(time_g), 10*(np.array(gas_g)-3),label='gas valve')
plt.legend()
plt.title(da53.name)
plt.xlim(-0.01,1)
plt.show(0)
"""
gas=np.interp(da532['t_mid'], 0.92+np.array(time_g), gas_g)
da532.plot('ne18',select=[0,1,2,3,4,1],sharex='none')
plt.ylim(0,3)
plt.plot(da532['t_mid'], gas-3)
"""
from pyfusion.data.DA_datamining import DA
from matplotlib import pyplot as plt
da9 = DA('LP20160309_42_L57_errest_cov_lpf=9.npz')
da99 = DA('LP20160309_42_L57_errest_cov_lpf=99.npz')
axs = da9.plot('Te', sharey='all')
for i in range(len(da99['info']['channels'])):
axs[i].plot(da99['t_mid'], da99.masked['Te'][:, i])
plt.ylim(0, 60)
plt.show(0)
neaxis.set_xlim(-.01, 0.4)
neaxis.set_ylim(0, neaxis.get_ylim()[1])
plt.xlabel('time after ECH start')
plt.show(0)
plt.figure(0)
da57 = DA('LP/LP20160309_42_L57_2k2.npz')
da53 = DA('LP/LP20160309_42_L53_2k2.npz')
ch3 = 2
plt.plot(dt + da53['t_mid'],
da53.masked['Te'][:, ch3],
label='Te s' + da53['info']['channels'][ch3][2:])
ch4 = 1
plt.plot(dt + da53['t_mid'],
da53.masked['Te'][:, ch4],
label='Te s' + da53['info']['channels'][ch4][2:])
plt.plot(np.array(time_g), 10 * (np.array(gas_g) - 3), label='N2 valve')
plt.legend(loc='upper left')
plt.title(da53.name)
plt.xlim(0, 0.4)
plt.xlabel('time after ECH start')
plt.show(0)
"""
"""
"""
gas=np.interp(da532['t_mid'], 0.92+np.array(time_g), gas_g)
da532.plot('ne18',select=[0,1,2,3,4,1],sharex='none')
plt.ylim(0,3)
plt.plot(da532['t_mid'], gas-3)
"""
#!/usr/bin/env python
# this won't work from ~/bin unless we include pyfusion in PYTHONPATH
#import os
#print(os.path.dirname(__file__))
import matplotlib.pyplot as plt
import sys
sys.path.append('/home/bdb112/pyfusion/working/pyfusion/')
from pyfusion.data.DA_datamining import DA
if len(sys.argv) < 2:
print('plot_npz_data "filename" key')
else:
filename = sys.argv[1]
if len(sys.argv) > 2:
key = sys.argv[2]
else:
key = 'ne18'
da = DA(filename,load=1)
da.plot(key)
plt.show(1)