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Mapping values of a DataFrame using a dictionary in Pandas

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Data Manipulation Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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tocTable of Contents
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To map values of a DataFrame using a dictionary, use the DataFrame's replace(~) method.

Example

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df
A B
0 1 3
1 2 4

To replace all values of 1 and 3 with 5 and 6, respectively:

df.replace({1:5, 3:6})
A B
0 5 6
1 2 4

Here, a new DataFrame is returned, and so the original df is kept intact. To directly modify df, set inplace=True.

To replace values in certain columns only:

df.replace({"A":1}, 5)
A B
0 5 3
1 2 4

Here, we're only replacing the value 1 with 5 in column A.

robocat
Published by Isshin Inada
Edited by 0 others
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