How to use the o2sclpy.default_plot function in o2sclpy
To help you get started, we’ve selected a few o2sclpy examples, based on popular ways it is used in public projects.
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awsteiner / o2scl / examples / plot / old / ex_nucmass_plot.py View on Github 
'HFB 14',
'HFB 21',
'HFB 27',
'AME (2003)',
'Duflo and Zuker (1996)',
'Koura et al. (2005)',
'Dieperink et al. (2009)',
'Wang et al. (2010)',
'Liu et al. (2011)']
names=['se','mnmsk','hfb14','hfb21','hfb27','ame03','dz96',
'ktuy05','dvi','ws32','ws36']
for i in range(0,11):
(fig,ax)=o2sclpy.default_plot()
# First initialize slice to zero
for N in range(0,180):
for Z in range(0,120):
sl[Z,N]=0
# Now fill with data
print('name:',names[i],'nlines:',gc.dset['nlines'][0])
for row in range(0,gc.dset['nlines'][0]):
if gc.dset['data/N'][row]>7:
if gc.dset['data/Z'][row]>7:
val=gc.dset['data/'+names[i]][row]
sl[int(gc.dset['data/Z'][row]-0.99),
int(gc.dset['data/N'][row]-0.99)]=val
# Now plot
cax=plot.imshow(sl,interpolation='nearest',origin='lower',
extent=[1,180,1,120],aspect='auto',cmap='PuOr')
