pandas: series values at array of index values

Question

I have a pandas Series instance defined as follows:

import pandas as pd
timestamps = [1,2,3,4,5,6,7,8,9,10]
quantities = [1,9,6,6,6,4,4,4,5,2]
series = pd.Series(quantities, index=timestamps)

Is it possible to supply an array of index values and retrieve the quantities at them? And if it is, what's the fastest way of achieving this, please?

For example, if I supply:

timestamps = [1,1,1,4]

I expect the following back from series:

quantities = [1,1,1,6]

Thanks for any help here.

lmiguelvargasf · Accepted Answer · 2019-04-04 00:07:24Z

1

It is possible:

>>> series[[1,1,1,4]]
1    1
1    1
1    1
4    6
dtype: int64
>>> series[[1,1,1,4]].values
array([1, 1, 1, 6])

edited Apr 4, 2019 at 0:07

answered Apr 3, 2019 at 23:56

lmiguelvargasf

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