How to Convert Pandas Series to NumPy Array

1. Convert Pandas Series to NumPy Array With the pandas.index.values Property
2. Convert Pandas Series to NumPy Array With the pandas.index.to_numpy() Function
3. Convert Pandas Series to NumPy Array With the pandas.index.array Property

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.