from into import into, convert, append, CSV
path =  convert.path(CSV, set)

for source, target, func in path:
    print '%25s -> %-25s   via   %s()' % (source.__name__, target.__name__, func.__name__)

# Given type:  Convert source to new object
into(list, (1, 2, 3))

# Given object: Append source to that object
L = [1, 2, 3]
into(L, (4, 5, 6))
L

from into import convert, append

convert(list, (1, 2, 3))

L = [1, 2, 3]
append(L, (4, 5, 6))

import numpy as np
import pandas as pd

#                 target type, source data, cost
@convert.register(np.ndarray, pd.DataFrame, cost=1.0)
def dataframe_to_numpy(df, **kwargs):
    return df.to_records(index=False)