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

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,)

Asked By: neversaint

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Source

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. ])

Answered By: Anand S Kumar

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

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