import modules
<pre><code>import pandas as pd
import numpy as np</code></pre>
create dummy dataframe
<pre><code>raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
'age': [20, 19, 22, 21],
'favorite_color': ['blue', 'red', 'yellow', "green"],
'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'])
df</code></pre>
<table>
<thead>
<tr>
<th></th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<td>Willard Morris</td>
<td>20</td>
<td>blue</td>
<td>88</td>
<td>Willard Morris</td>
</tr>
<tr>
<td>Al Jennings</td>
<td>19</td>
<td>red</td>
<td>92</td>
<td>Al Jennings</td>
</tr>
<tr>
<td>Omar Mullins</td>
<td>22</td>
<td>yellow</td>
<td>95</td>
<td>Omar Mullins</td>
</tr>
<tr>
<td>Spencer McDaniel</td>
<td>21</td>
<td>green</td>
<td>70</td>
<td>Spencer McDaniel</td>
</tr>
</tbody>
</table>
get list from column of Pandas dataframe
<pre><code>#select column to convert to list here
age_list = df["age"].tolist()
age_list</code></pre>
<pre><code>[20, 19, 22, 21]</code></pre>

A step-by-step Python code example that shows how to convert a column in a Pandas DataFrame to a list. Provided by Data Interview Questions, a mailing list for coding and data interview problems.

	age	favorite_color	grade	name
Willard Morris	20	blue	88	Willard Morris
Al Jennings	19	red	92	Al Jennings
Omar Mullins	22	yellow	95	Omar Mullins
Spencer McDaniel	21	green	70	Spencer McDaniel

Convert column in Pandas dataframe to a list