def test_median_mean(self):
if TestCluster.module == 'Bio.Cluster':
from Bio.Cluster import mean, median
elif TestCluster.module == 'Pycluster':
from Pycluster import mean, median
data = numpy.array([34.3, 3, 2])
self.assertAlmostEqual(mean(data), 13.1, places=3)
self.assertAlmostEqual(median(data), 3.0, places=3)
data = [5, 10, 15, 20]
self.assertAlmostEqual(mean(data), 12.5, places=3)
self.assertAlmostEqual(median(data), 12.5, places=3)
data = [1, 2, 3, 5, 7, 11, 13, 17]
self.assertAlmostEqual(mean(data), 7.375, places=3)
self.assertAlmostEqual(median(data), 6.0, places=3)
data = [100, 19, 3, 1.5, 1.4, 1, 1, 1]
self.assertAlmostEqual(mean(data), 15.988, places=3)
self.assertAlmostEqual(median(data), 1.45, places=3)
def test_mean_median(module):
if module == 'Bio.Cluster':
from Bio.Cluster import mean, median
elif module == 'Pycluster':
from Pycluster import mean, median
else:
raise 'Unknown module name', module
print "test_mean_median:"
data1 = array([34.3, 3, 2])
data2 = [5, 10, 15, 20]
data3 = [1, 2, 3, 5, 7, 11, 13, 17]
data4 = [100, 19, 3, 1.5, 1.4, 1, 1, 1]
for data in [data1, data2, data3, data4]:
print "data =",
print_row(data)
print "mean is %7.3f; median is %7.3f" % (mean(data), median(data))
print
def test_mean_median(module):
if module=='Bio.Cluster':
from Bio.Cluster import mean, median
elif module=='Pycluster':
from Pycluster import mean, median
else:
raise 'Unknown module name', module
print "test_mean_median:"
data1 = array([ 34.3, 3, 2 ])
data2 = [ 5, 10 ,15, 20]
data3 = [ 1, 2, 3, 5, 7, 11, 13, 17]
data4 = [ 100, 19, 3, 1.5, 1.4, 1, 1, 1]
for data in [data1, data2, data3, data4]:
print "data =",
print_row(data)
print "mean is %7.3f; median is %7.3f" % (mean(data), median(data))
print