def safe_mean(values):
""" Returns mean value discarding non finite values """
valid_values = []
for v in values:
if numpy.isfinite(v):
valid_values.append(v)
return numpy.mean(valid_values), numpy.std(valid_values)
def safe_mean(values):
""" Returns mean value discarding non finite values """
valid_values = []
for v in values:
if numpy.isfinite(v):
valid_values.append(v)
return numpy.mean(valid_values), numpy.std(valid_values)
def safe_mean_vector(vectors):
""" Returns mean profile discarding non finite values """
# if only one vector, avg = itself
if len(vectors) == 1:
return vectors[0], numpy.zeros(len(vectors[0]))
# Takes the vector length form the first item
length = len(vectors[0])
safe_mean = []
safe_std = []
for pos in xrange(length):
pos_mean = []
for v in vectors:
if numpy.isfinite(v[pos]):
pos_mean.append(v[pos])
safe_mean.append(numpy.mean(pos_mean))
safe_std.append(numpy.std(pos_mean))
return safe_mean, safe_std
def safe_mean_vector(vectors):
""" Returns mean profile discarding non finite values """
# if only one vector, avg = itself
if len(vectors)==1:
return vectors[0], numpy.zeros(len(vectors[0]))
# Takes the vector length form the first item
length = len(vectors[0])
safe_mean = []
safe_std = []
for pos in xrange(length):
pos_mean = []
for v in vectors:
if numpy.isfinite(v[pos]):
pos_mean.append(v[pos])
safe_mean.append(numpy.mean(pos_mean))
safe_std.append(numpy.std(pos_mean))
return safe_mean, safe_std
