How to convert pandas single column data frame to series or numpy vector [duplicate]

Question

I have the following data frame just single column.

import pandas as pd tdf =  pd.DataFrame({'s1' : [0,1,23.4,10,23]}) 

Currently it has the following shape.

In [54]: tdf.shape Out[54]: (5, 1) 

How can I convert it to a Series or a numpy vector so that the shape is simply (5,)

Answer 1

You can simply index the series you want. Example -

tdf['s1'] 

Demo -

In [24]: tdf =  pd.DataFrame({'s1' : [0,1,23.4,10,23]})  In [25]: tdf['s1'] Out[25]: 0     0.0 1     1.0 2    23.4 3    10.0 4    23.0 Name: s1, dtype: float64  In [26]: tdf['s1'].shape Out[26]: (5,) 

If you want the values in the series as numpy array, you can use .values accessor , Example -

In [27]: tdf['s1'].values Out[27]: array([  0. ,   1. ,  23.4,  10. ,  23. ])