How to Convert Pandas DataFrame Column or Row to List
Within a pandas DataFrame, each column is represented by a pandas Series object. To obtain a list representation of a column, you can use the tolist() method on the Series object. For example:
<code class="python">import pandas as pd data_dict = {'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']} df = pd.DataFrame(data_dict) cluster_list = df['cluster'].tolist() print(cluster_list)</code>
Output:
['A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C']
You can also cast a Series object to a list directly using list():
<code class="python">cluster_list = list(df['cluster'])</code>
To obtain a list representation of an entire row, you can access it using the iloc() method of the DataFrame.
<code class="python">row1_list = df.iloc[0].tolist() print(row1_list)</code>
Output:
[1000, '4000', 'Y']
Similarly, you can cast the entire row to a list directly:
<code class="python">row1_list = list(df.iloc[0])</code>
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