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How to fix AttributeError: ‘Series’ object has no attribute ‘to_numpy’

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to fix AttributeError: ‘Series’ object has no attribute ‘to_numpy’ in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to fix AttributeError: ‘Series’ object has no attribute ‘to_numpy’?

  1. How to fix AttributeError: 'Series' object has no attribute 'to_numpy'

    If you need your code to work with all versions of pandas, here's a simple way to convert a Series into a NumPy array:

  2. fix AttributeError: 'Series' object has no attribute 'to_numpy'

    If you need your code to work with all versions of pandas, here's a simple way to convert a Series into a NumPy array:

Method 1

Check the version of your pandas library:

import pandas
print(pandas.__version__)

If your version is less than 0.24.1:

pip install --upgrade pandas

Method 2

If you need your code to work with all versions of pandas, here’s a simple way to convert a Series into a NumPy array:

import pandas as pd
import numpy as np

s = pd.Series([1.1, 2.3])
a = np.array(s)
print(a)  # [1.1 2.3]

On an advanced note, if your Series has missing values (as NaN values), these can be converted to a masked array:

s = pd.Series([1.1, np.nan])
a = np.ma.masked_invalid(s)
print(a)  # [1.1 --]

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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