def itertuples(self, index=True, name="<STR_LIT>"):
arrays = []<EOL>fields = list(self.columns)<EOL>if index:<EOL><INDENT>arrays.append(self.index)<EOL>fields.insert(<NUM_LIT:0>, "<STR_LIT>")<EOL><DEDENT>arrays.extend(self.iloc[:, k] for k in range(len(self.columns)))<EOL>if name is not None and len(self.columns) + index < <NUM_LIT>:<EOL><INDENT>itertuple = collections.namedtuple(name, fields, rename=True)<EOL>return map(itertuple._make, zip(*arrays))<EOL><DEDENT>return zip(*arrays)<EOL>
Iterate over DataFrame rows as namedtuples.

Parameters
----------
index : bool, default True
    If True, return the index as the first element of the tuple.
name : str or None, default "Pandas"
    The name of the returned namedtuples or None to return regular
    tuples.

Yields
-------
collections.namedtuple
    Yields a namedtuple for each row in the DataFrame with the first
    field possibly being the index and following fields being the
    column values.

See Also
--------
DataFrame.iterrows : Iterate over DataFrame rows as (index, Series)
    pairs.
DataFrame.iteritems : Iterate over (column name, Series) pairs.

Notes
-----
The column names will be renamed to positional names if they are
invalid Python identifiers, repeated, or start with an underscore.
With a large number of columns (>255), regular tuples are returned.

Examples
--------
>>> df = pd.DataFrame({'num_legs': [4, 2], 'num_wings': [0, 2]},
...                   index=['dog', 'hawk'])
>>> df
      num_legs  num_wings
dog          4          0
hawk         2          2
>>> for row in df.itertuples():
...     print(row)
...
Pandas(Index='dog', num_legs=4, num_wings=0)
Pandas(Index='hawk', num_legs=2, num_wings=2)

By setting the `index` parameter to False we can remove the index
as the first element of the tuple:

>>> for row in df.itertuples(index=False):
...     print(row)
...
Pandas(num_legs=4, num_wings=0)
Pandas(num_legs=2, num_wings=2)

With the `name` parameter set we set a custom name for the yielded
namedtuples:

>>> for row in df.itertuples(name='Animal'):
...     print(row)
...
Animal(Index='dog', num_legs=4, num_wings=0)
Animal(Index='hawk', num_legs=2, num_wings=2)