How can I extract data from a Pandas DataFrame as a Python list?

Accessing Data from Pandas DataFrames

To retrieve data from a Pandas DataFrame as a list, there are multiple methods available, depending on whether you want to access a specific column or row.

Accessing a Column as a List

To obtain the contents of a column as a list, you can use the following syntax:

<code class="python">column_list = df['column_name'].tolist()</code>

This will return a Python list containing the elements of the specified column.

Accessing a Row as a List

To retrieve a row as a list, you can use the iloc or loc methods, followed by .tolist():

<code class="python">row_list = df.iloc[row_index].tolist()  # row index-based
row_list = df.loc[row_label].tolist()  # row label-based</code>

Example

Consider the DataFrame:

<code class="python">import pandas as pd

df = pd.DataFrame({'cluster': ['A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C'],
                   'load_date': ['1/1/2014', '2/1/2014', '3/1/2014', '4/1/2014', '4/1/2014', '4/1/2014', '7/1/2014', '8/1/2014', '9/1/2014'],
                   'budget': [1000, 12000, 36000, 15000, 12000, 90000, 22000, 30000, 53000],
                   'actual': [4000, 10000, 2000, 10000, 11500, 11000, 18000, 28960, 51200],
                   'fixed_price': ['Y', 'Y', 'Y', 'N', 'N', 'N', 'N', 'N', 'N']})</code>

Accessing Column as List:

<code class="python">cluster_list = df['cluster'].tolist()  # ['A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C']</code>

Accessing Row as List:

<code class="python">row_list = df.iloc[0].tolist()  # ['A', '1/1/2014', 1000, 4000, 'Y']</code>

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