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Converting a Pandas column with missing values to integer type

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Handling Missing Values
schedule Mar 10, 2022
Last updated
local_offer PythonPandas
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Consider the following DataFrame with missing value:

import pandas as pd
import numpy as np

df = pd.DataFrame({'A':[3,4,np.nan]})
df
A
0 3.0
1 4.0
2 NaN

To convert column A to integer type:

df['A'].astype('Int64')
0 3
1 4
2 <NA>
Name: A, dtype: Int64
WARNING

astype('int') does not work when there is are missing values - only astype('Int64') works.

robocat
Published by Isshin Inada
Edited by 0 others
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