## Question

Asked By – ericmjl

Do you know how to get the index or column of a DataFrame as a NumPy array or python list?

**Now we will see solution for issue: How do I convert a pandas Series or index to a Numpy array? [duplicate] **

## Answer

To get a NumPy array, you should use the `values`

attribute:

```
In [1]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['a', 'b', 'c']); df
A B
a 1 4
b 2 5
c 3 6
In [2]: df.index.values
Out[2]: array(['a', 'b', 'c'], dtype=object)
```

*This accesses how the data is already stored, so there’s no need for a conversion.
Note: This attribute is also available for many other pandas’ objects.*

```
In [3]: df['A'].values
Out[3]: Out[16]: array([1, 2, 3])
```

To get the index as a list, call `tolist`

:

```
In [4]: df.index.tolist()
Out[4]: ['a', 'b', 'c']
```

And similarly, for columns.

This question is answered By – Andy Hayden

**This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **