Convert Series object into meaningful dict - Python

Question

Lately I got stuck trying to find an elegant solution to the following problem:

I have a Series object (pandas.core.series.Series) with the following values (e.g.) -

{1,43234,2,653543,3,436546}

I have another datasource on which I want to iterate, and for that I would like to create a dictionary out of the series, with the following format -

{1:43234,2:653543,3:436546}

Using the function .to_dict is not suitable as it auto-generates the keys.

Can anyone offer an idea?

Thank you all in advance!

so you want odd indexes to be your keys and even indexes to be your values? — Juan C
– Juan C, Commented Nov 20, 2019 at 13:15

AKX · Accepted Answer · 2019-11-20 13:16:19Z

2

For any indexable iterable – I'm pretty sure pd.Series applies – you can convert a [key, value, key, value, key, value] sort of thing to a dict by zipping slices with a stride:

>>> a = [1,43234,2,653543,3,436546]
>>> dict(zip(a[::2], a[1::2]))
{1: 43234, 2: 653543, 3: 436546}

answered Nov 20, 2019 at 13:16

AKX

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