def test_get_column() :
nt = NTuple('A', 'B')
for x in range(100) :
nt.fill('A', x)
nt.fill('B', x*100)
nt.write()
A = nt.column('A')
ntl.assert_true(A == range(100))
B = nt.column('B')
ntl.assert_true(B == [ x*100 for x in range(100)])
def test_get_with_cross_cut() :
nt = NTuple('A', 'B')
for x in range(100) :
nt.fill('A', x)
nt.fill('B', x*100)
nt.write()
col = nt.column('B',lambda x : x.A > 50 and x.B < 8500 )
ntl.assert_true(col == [x*100 for x in xrange(51, 85)])
def test_get_with_cut() :
nt = NTuple('A', 'B')
for x in range(100) :
nt.fill('A', x)
nt.fill('B', x*100)
nt.write()
col = nt.column('A',lambda x : x.A > 50 )
ntl.assert_true(col == range(51, 100))
import math
from random import gauss
from pyhistuples.pyntuple.ntuple import NTuple
from matplotlib import pyplot
mu_p = 15.
mu_pt = 5.
sigma_p = 10.
sigma_pt = 5.
nt = NTuple('x', 'p', 'pt')
for x in xrange(10000) :
nt.fill('x',x)
nt.fill('p', gauss(mu_p, sigma_p))
nt.fill('pt', gauss(mu_pt, sigma_pt))
nt.write()
x = nt.column('x', lambda row : row.p > 5. and row.pt > 1.)
