Convert pandas data frame to series

I'm somewhat new to pandas. I have a pandas data frame that is 1 row by 23 columns.

I want to convert this into a series? I'm wondering what the most pythonic way to do this is?

I've tried pd.Series(myResults) but it complains ValueError: cannot copy sequence with size 23 to array axis with dimension 1. It's not smart enough to realize it's still a "vector" in math terms.

Thanks!

It's not smart enough to realize it's still a "vector" in math terms.

Say rather that it's smart enough to recognize a difference in dimensionality. :-)

I think the simplest thing you can do is select that row positionally using iloc, which gives you a Series with the columns as the new index and the values as the values:

    >>> df = pd.DataFrame([list(range(5))], columns=["a{}".format(i) for i in range(5)])
    >>> df
       a0  a1  a2  a3  a4
    0   0   1   2   3   4
    >>> df.iloc[0]
    a0    0
    a1    1
    a2    2
    a3    3
    a4    4
    Name: 0, dtype: int64
    >>> type(_)
    <class 'pandas.core.series.Series'>

From: stackoverflow.com/q/33246771