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from __future__ import absolute_import
import unittest
from .. import ClusterTree, ArrayTable
from .datasets import *
class Test_Coretype_ArrayTable(unittest.TestCase):
""" Tests reading clustering or phylogenetic profile data"""
def test_arraytable_parser(self):
""" Tests reading numneric tables"""
A = ArrayTable(expression)
self.assertEqual(A.get_row_vector("A").tolist(), \
[-1.23, -0.81, 1.79, 0.78,-0.42,-0.69, 0.58])
self.assertEqual(A.get_several_row_vectors(["A","C"]).tolist(), \
[[-1.23, -0.81, 1.79, 0.78, -0.42, -0.69, 0.58],
[-2.19, 0.13, 0.65, -0.51, 0.52, 1.04, 0.36]])
self.assertEqual(A.get_several_column_vectors(["col2", "col7"]).tolist(), \
[[-0.81000000000000005, -0.93999999999999995,\
0.13, -0.97999999999999998, -0.82999999999999996,\
-1.1100000000000001, -1.1699999999999999,\
-1.25],
[0.57999999999999996, 1.1200000000000001, \
0.35999999999999999, 0.93000000000000005, \
0.65000000000000002, 0.47999999999999998, \
0.26000000000000001, 0.77000000000000002]])
self.assertEqual(A.get_column_vector("col4").tolist(), \
[0.78000000000000003, 0.35999999999999999, \
-0.51000000000000001, -0.76000000000000001, \
0.070000000000000007, -0.14000000000000001, \
0.23000000000000001, -0.29999999999999999])
A.remove_column("col4")
self.assertIs(A.get_column_vector("col4"), None )
Abis = A.merge_columns({"merged1": \
["col1", "col2"],\
"merged2": \
["col5", "col6"]}, \
"mean")
#self.assertTrue((Abis.get_column_vector("merged1")==numpy.array([-1.02, -1.35, -1.03, -1.1, -1.15, -1.075, -1.37, -1.39, ])).all())
# Continue this......
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