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Pandas DataFrame | get method

Programming
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Python
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Pandas
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Documentation
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DataFrame
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Data Selection and Renaming
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas's DataFrame.get(~) is used to access columns of the DataFrame.

WARNING

The method get(~) returns a reference to the columns, meaning that if you modify the returned value, the source DataFrame is also modified accordingly.

Parameters

1. key | string or list of strings

The name of the column(s) you want to access.

Return Value

  • If key is a string, then a Series is returned.

  • If key is a list of strings, then a DataFrame is returned.

Examples

Consider the following DataFrame:

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

Accessing a single column

To access a single column, supply its column name:

df.get("A") # Returns a Series
0 1
1 2
Name: A, dtype: int64

Accessing multiple columns

To access multiple columns, supply their column labels as a list:

df.get(["A","B"]) # Returns a DataFrame
A B
0 1 3
1 2 4

Risk of mutation

Consider the same df as before:

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

We extract the column A, and mutate one of its values:

df.get("A")[0] = 9
df
A B
0 9 3
1 2 4

As we can see our source DataFarme df got mutated as well.

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Published by Isshin Inada
Edited by 0 others
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