How to convert a series to a NumPy array in Pandas

How to convert a series to a NumPy array in Pandas

To convert a Pandas series to a NumPy array, you can use the to_numpy() method. This method will return a NumPy array containing the data from the series.

Here's an example of using the to_numpy() method to convert a Pandas series to a NumPy array:

import pandas as pd
import numpy as np

# create a sample series
s = pd.Series([3, 2, 1, 4, 5])

# convert the series to a NumPy array
s_array = s.to_numpy()

# display the result
print(s_array)

This will convert the data in the series to a NumPy array, and return a NumPy array containing the data from the series. The resulting array will be displayed to the console.

The output will be:

array([3, 2, 1, 4, 5])

Conclusion

The to_numpy() method is a convenient way to convert a Pandas series to a NumPy array. It allows you to easily convert the data in a series to a NumPy array, which can be useful for working with the data in the array.