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Modifying a single value in a Pandas DataFrame

schedule Aug 10, 2023
Last updated
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To modify a single value in a Pandas DataFrame, use either:

  • iloc when using integer indices.

  • loc when using row and column labels.

Examples

Consider the following DataFrame:

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

Using integer indices

To change the value 6 using integer indices:

df.iloc[1,1] = 10
df
A B
a 3 5
b 4 10

Using row and column labels

To change the value at row b, column B:

df.loc["b","B"] = 10
df
A B
a 3 5
b 4 10
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Published by Isshin Inada
Edited by 0 others
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