Пример #1
0
 def testpanda(self):
     tabp = read_panda('testfiles/tab1.txt',columnames=True)
     print (tabp  )  
     tabp = read_panda('testfiles/tab1.txt',columnames = True,rownames=True)
     # print tabp
     # print tabp[['e','t']]
     for row in tabp.iterrows():
         print(row[0])
Пример #2
0
 def testpanda(self):
     tabp = read_panda('testfiles/tab1.txt', columnames=True)
     print(tabp)
     tabp = read_panda('testfiles/tab1.txt', columnames=True, rownames=True)
     # print tabp
     # print tabp[['e','t']]
     for row in tabp.iterrows():
         print(row[0])
Пример #3
0
def testSqlexec():
    """function to test above class
     database is created if not existing in current work dir"""
    s = MerlinTools(database='testalchemydb.sqlite',
                    stype='standard',
                    test=True)
    tabp = read_panda('testfiles/tab1.txt', columnames=True, rownames=True)

    s.tab2sql(tabp)

    q = s.sql2tab(**{
        'tabinfo': ('tab1', 'e', 'r'),
        'filterinfo': ['t', ('1', '2')]
    })
    for row in q:
        print '2', row

    s.tab2sql(tabinfo=('newtab', 'nam', 'yes'),
              data=[(1, 2), (2, 3), (4, 5), (5, 6), (6, 7), (7, 8)],
              typeinfo=['INTEGER', 'TEXT'])
    q = s.sql2tab(['newtab', 'nam'])
    for row in q:
        print '1 sql2tab', row

    print s.executesql('SELECT * FROM newtab')

    q = s.sql2tab(**{
        'tabinfo': ('newtab', 'nam', 'yes'),
        'filterinfo': ['nam', ('1', '2')]
    })
    for row in q:
        print '2 sql2tab', row
    q = s.sql2tab(**{
        'tabinfo': ('newtab', 'nam', 'yes'),
        'ignoreinfo': ['nam', ('1', '2')]
    })
    for row in q:
        print '3 sql2tab', row
    q = s.sql2tab(
        **{
            'tabinfo': ('newtab', 'nam', 'yes'),
            'filterinfo': ['nam', ('1', '2', '3', '4', '5')],
            'ignoreinfo': ['nam', ('1', '2')]
        })
    for row in q:
        print '4 sql2tab', row

    q = s.sql2tab(**{
        'tabinfo': ('newtab', 'nam', 'yes'),
        'filterinfo': ['nam', '1']
    })
    for row in q:
        print '5 sql2tab', row
    q = s.sql2tab(**{
        'tabinfo': ('newtab', 'nam', 'yes'),
        'ignoreinfo': ['nam', '1']
    })
    for row in q:
        print '6sql2tab', row
    q = s.sql2tab(
        **{
            'tabinfo': ('newtab', 'nam', 'yes'),
            'filterinfo': ['nam', '1'],
            'ignoreinfo': ['yes', ('5', '3')]
        })
    for row in q:
        print '7 sql2tab', row
    q = s.sql2tab(
        **{
            'tabinfo': ('newtab', 'nam', 'yes'),
            'filterinfo': ['nam', ('1', '2', '3', '4')],
            'ignoreinfo': ['yes', '5']
        })
    for row in q:
        print '8 sql2tab', row
    s.tab2sql(['newdiv', 'keyi', 'vali'], dict([(1, 88), (2, 3), (4, 5)]),
              ['INTEGER', 'TEXT'])
    q = s.sqltab2dic(['newdiv', 'keyi', 'vali'])
    print '9 sqltab2dic', q
    print '10 sqlcolget', s.sqlcolget(['newdiv', 'vali'])
    s.updatetable(tabinfo=['newdiv', 'keyi', 'vali'],
                  data=[(28, 99), (10, 11), (15, 11)])