Feature Request: Provide dict object for pd.Series.to_dict()

I frequently use the .to_dict() method and was wondering how difficult it would be to implement a dict_obj argument to specify what type of dictionary will be used. For example, if one was interested in preserving the order:

from collections import OrderedDict

pd.Series(list("abcd")).to_dict(dict_obj=OrderedDict)

[dwkenefick]

I can take a crack at this one if we do want to implement it. Quick questions:

1. Should we only allow certain types, e.g. OrderedDict and a few other easy ones from collections, like deque? Some of the others might be a little odd, like defaultdict.
2. Do we want to implement this for pd.DataFrame too?

I’ll use type as the keyword - I couldn’t find any strong precedent in the standard library. kind is used elsewhere in pandas, for example DataFrame.plot, but that feels different.

@jolespin - You probably already know this but here is an easy way to do what you want:

import pandas as pd
from collections import OrderedDict

series = pd.Series({'a': 1, 'b': 2})
OrderedDict(series)

[TomAugspurger]

The implementation of to_dict is just

    def to_dict(self):
        """
        Convert Series to {label -> value} dict

        Returns
        -------
        value_dict : dict
        """
        return dict(compat.iteritems(self))

So, if you wanted to take an argument (type, kind?) with a default of dict I think that’d be fine.