**Benchmark setup**

.. code-block:: python

    from pandas_vb_common import *
    
    N, K = 5000, 50
    index = [rands(10) for _ in xrange(N)]
    columns = [rands(10) for _ in xrange(K)]
    frame = DataFrame(np.random.randn(N, K), index=index, columns=columns)
    
    try:
        data = frame.to_dict()
    except:
        data = frame.toDict()
    
    some_dict = data.values()[0]
    dict_list = [dict(zip(columns, row)) for row in frame.values]
    

**Benchmark statement**

.. code-block:: python

    Series(some_dict)

**Performance graph**

.. image:: vbench/figures/series_ctor_from_dict.png
   :width: 6in