In [1]:

    

import pandas as pd


    

In [43]:

    

class Table(pd.DataFrame):
    
    _internal_names = pd.DataFrame._internal_names + ['tablename','filename']
    _internal_names_set = set(_internal_names)
    
    _metadata = ['dsname']
    
    def __init__(self,*args,**kwargs):
        dsname = kwargs.pop('dsname',None)
        tablename = kwargs.pop('tablename',None)
        filename = kwargs.pop('filename',None)
        super(self.__class__,self).__init__(*args,**kwargs)
        self.dsname = dsname
        self.tablename = tablename
        self.filename = filename
        
    @property
    def _constructor(self):
        return self.__class__


    

In [44]:

    

t = Table([(1,2),(3,4),(5,6)],columns=['A','B'],dsname='foo',tablename='bar')
t


    

    
Out[44]:






  

    

      

      
A
      
B
    
  
  

    

      
0
      
1
      
2
    
    

      
1
      
3
      
4
    
    

      
2
      
5
      
6
    
  

In [45]:

    

type(t)


    

    
Out[45]:





__main__.Table

In [46]:

    

s = t*3
s


    

    
Out[46]:






  

    

      

      
A
      
B
    
  
  

    

      
0
      
3
      
6
    
    

      
1
      
9
      
12
    
    

      
2
      
15
      
18
    
  

In [47]:

    

type(s)


    

    
Out[47]:





__main__.Table

In [48]:

    

vars(s)


    

    
Out[48]:





{'_data': BlockManager
 Items: Index([u'A', u'B'], dtype='object')
 Axis 1: RangeIndex(start=0, stop=3, step=1)
 IntBlock: slice(0, 2, 1), 2 x 3, dtype: int64,
 '_iloc': <pandas.core.indexing._iLocIndexer at 0x7f2d8a3a9310>,
 '_item_cache': {},
 'dsname': None,
 'filename': None,
 'is_copy': None,
 'tablename': None}

In [49]:

    

u = t+s


    

In [50]:

    

type(u)


    

    
Out[50]:





__main__.Table

In [51]:

    

vars(u)


    

    
Out[51]:





{'_data': BlockManager
 Items: Index([u'A', u'B'], dtype='object')
 Axis 1: RangeIndex(start=0, stop=3, step=1)
 IntBlock: slice(0, 2, 1), 2 x 3, dtype: int64,
 '_item_cache': {},
 'dsname': None,
 'filename': None,
 'is_copy': None,
 'tablename': None}

In [52]:

    

v = t[['A']]
v


    

    
Out[52]:






  

    

      

      
A
    
  
  

    

      
0
      
1
    
    

      
1
      
3
    
    

      
2
      
5
    
  

In [53]:

    

type(v)


    

    
Out[53]:





__main__.Table

In [54]:

    

w = t
w['C'] = [10,20,30]
w


    

    
Out[54]:






  

    

      

      
A
      
B
      
C
    
  
  

    

      
0
      
1
      
2
      
10
    
    

      
1
      
3
      
4
      
20
    
    

      
2
      
5
      
6
      
30
    
  

In [55]:

    

type(w)


    

    
Out[55]:





__main__.Table

In [56]:

    

vars(w)


    

    
Out[56]:





{'_data': BlockManager
 Items: Index([u'A', u'B', u'C'], dtype='object')
 Axis 1: RangeIndex(start=0, stop=3, step=1)
 IntBlock: slice(0, 2, 1), 2 x 3, dtype: int64
 IntBlock: slice(2, 3, 1), 1 x 3, dtype: int64,
 '_iloc': <pandas.core.indexing._iLocIndexer at 0x7f2d8a3a9b10>,
 '_item_cache': {},
 '_ix': <pandas.core.indexing._IXIndexer at 0x7f2d8a3a9d50>,
 'dsname': 'foo',
 'filename': None,
 'is_copy': None,
 'tablename': 'bar'}

In [57]:

    

t


    

    
Out[57]:






  

    

      

      
A
      
B
      
C
    
  
  

    

      
0
      
1
      
2
      
10
    
    

      
1
      
3
      
4
      
20
    
    

      
2
      
5
      
6
      
30
    
  

In [58]:

    

t.dsname


    

    
Out[58]:





'foo'

In [59]:

    

t.tablename


    

    
Out[59]:





'bar'

In [60]:

    

t[['B','C']].dsname


    

    
Out[60]:





'foo'

In [61]:

    

t[['B','C']].tablename


    

In [64]:

    

t.tablename


    

    
Out[64]:





'bar'

In [65]:

    

Table()


    

    
Out[65]:

In [66]:

    

t


    

    
Out[66]:






  

    

      

      
A
      
B
      
C
    
  
  

    

      
0
      
1
      
2
      
10
    
    

      
1
      
3
      
4
      
20
    
    

      
2
      
5
      
6
      
30
    
  

In [69]:

    

t.index.values.tolist()


    

    
Out[69]:





[0, 1, 2]

In [ ]: