def ambiguous_data_graphs():
''' Amb is in the form of
Final data structure will be a dictionary:
amb[animal][session] = (# radial, #discrepency, total) '''
logging.info(descr)
amb = find_ambiguous_data()
# Get a blob of data
tmp = [(an,sess,1.0*dd[0]/dd[2], 1.0*(dd[1]-dd[0])/(dd[2]-dd[0]),dd[2])
for (an, dat) in amb.items()
for (sess,dd) in dat.items() if dd is not None]
tmp.sort(key=lambda x:x[3])
print '(Animal,Session): Fraction radial Fraction Discrepency Total # data points'
for animal,sess,rad,disc,tot in tmp:
print '(%i,%i): %.3f %.3f %i'%(animal,sess,rad,disc,tot)
def ambiguous_data_graphs():
''' Amb is in the form of
Final data structure will be a dictionary:
amb[animal][session] = (# radial, #discrepency, total) '''
logging.info(descr)
amb = find_ambiguous_data()
# Get a blob of data
tmp = [(an, sess, 1.0 * dd[0] / dd[2],
1.0 * (dd[1] - dd[0]) / (dd[2] - dd[0]), dd[2])
for (an, dat) in amb.items() for (sess, dd) in dat.items()
if dd is not None]
tmp.sort(key=lambda x: x[3])
print '(Animal,Session): Fraction radial Fraction Discrepency Total # data points'
for animal, sess, rad, disc, tot in tmp:
print '(%i,%i): %.3f %.3f %i' % (animal, sess, rad, disc, tot)
def investigate_angle_graphs():
amb = find_ambiguous_data()
# Get a blob of data
tmp = [(an, sess, 1.0 * dd[0] / dd[2],
1.0 * (dd[1] - dd[0]) / (dd[2] - dd[0]), dd[2])
for (an, dat) in amb.items() for (sess, dd) in dat.items()
if dd is not None]
tmp.sort(key=lambda x: x[3], reverse=True)
for i in range(len(tmp)):
if i < 254: continue
logging.info('%i/%i', i, len(tmp))
(animal, session, _, _, _) = tmp[i]
try:
mk_grph(animal, session)
except Exception as e:
print e
continue
plt.show()
def investigate_angle_graphs():
amb = find_ambiguous_data()
# Get a blob of data
tmp = [
(an, sess, 1.0 * dd[0] / dd[2], 1.0 * (dd[1] - dd[0]) / (dd[2] - dd[0]), dd[2])
for (an, dat) in amb.items()
for (sess, dd) in dat.items()
if dd is not None
]
tmp.sort(key=lambda x: x[3], reverse=True)
for i in range(len(tmp)):
if i < 254:
continue
logging.info("%i/%i", i, len(tmp))
(animal, session, _, _, _) = tmp[i]
try:
mk_grph(animal, session)
except Exception as e:
print e
continue
plt.show()