# How to Convert Pandas Series to NumPy Array

Muhammad Maisam Abbas Feb 16, 2024

This tutorial will discuss how to convert the Pandas series to a NumPy array in Python.

## Convert Pandas Series to NumPy Array With the `pandas.index.values` Property

If we want to convert a Pandas series to a NumPy array, we can use the `pandas.index.values` property. The `pandas.index.values` property returns the values at the index in the form of an array. We can then convert this array into a NumPy array with the `numpy.array()` function. See the following code example.

``````import pandas as pd
import numpy as np

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

array = np.array(df.index.values)
print(array)
``````

Output:

``````['a' 'b' 'c']
``````

We first created the Pandas series `df` with the `pd.DataFrame()` function. We then converted the `df` to an array with the `df.index.values` property and stored it inside the NumPy array `array` with the `np.array()` function.

## Convert Pandas Series to NumPy Array With the `pandas.index.to_numpy()` Function

The `pandas.index.values` method works fine for now but is deprecated and will be removed in the future versions of the Pandas package. A good replacement for the `pandas.index.values` property is the `pandas.index.to_numpy()` function. The `pandas.index.to_numpy()` function directly converts the values inside the Pandas series to a NumPy array, so we do not need to use the `numpy.array()` function explicitly. The following code example shows us how to convert Pandas series to NumPy array with the `pandas.index.to_numpy()` function.

``````import pandas as pd

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

array = df.index.to_numpy()
print(array)
``````

Output:

``````['a' 'b' 'c']
``````

We first created the Pandas series `df` with the `pd.DataFrame()` function. We then converted the `df` to a NumPy array with the `df.index.to_numpy()` function and stored the result inside the `array`.

## Convert Pandas Series to NumPy Array With the `pandas.index.array` Property

Another method that can be used in place of the `pandas.index.values` property is the `pandas.index.array` property. The `pandas.index.array` property converts the Pandas series to a Pandas array. We can convert this Pandas array to a NumPy array with the `numpy.array()` function. See the following code example.

``````import pandas as pd
import numpy as np

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

array = np.array(df.index.array)
print(array)
``````

Output:

``````['a' 'b' 'c']
``````

We first created the Pandas series `df` with the `pd.DataFrame()` function. We then converted the `df` to a Pandas array with the `df.index.array` property and stored the result inside the NumPy array `array` with the `numpy.array()` function.

Maisam is a highly skilled and motivated Data Scientist. He has over 4 years of experience with Python programming language. He loves solving complex problems and sharing his results on the internet.