How to Convert Pandas Series or Index to a NumPy Array or List?

Converting Pandas Series or Index to NumPy Array

Obtaining a NumPy array or Python list from a Pandas index or column is a common need when working with data in Python. This can be achieved with ease using the Pandas library's attributes and methods.

NumPy Array

To convert an index or column to a NumPy array, utilize the values attribute. This attribute accesses the underlying data storage without the need for conversion:

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

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['a', 'b', 'c'])

index_array = df.index.values  # Result: array(['a', 'b', 'c'], dtype=object)

column_array = df['A'].values  # Result: array([1, 2, 3])</code>

List

To convert the index to a list, use the tolist() method:

<code class="python">index_list = df.index.tolist()  # Result: ['a', 'b', 'c']</code>

Similarly, this method can be applied to columns to obtain a list of values.

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