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Pandas DataFrame | take method

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 DataFrame.take(~) method returns a new DataFrame containing the specified rows or columns.

NOTE

Since a new DataFrame is returned, modifying the return value of take(~) will not mutate the source DataFrame.

Parameters

1. indices | array-like

The integer indices of the column or row you want to access. If a negative number is provided, then the columns or rows are fetched from the end.

2. axis | int or string | optional

Whether to fetch rows or columns:

Axis

Description

Get rows.

0 or "index"

Get columns.

1 or "columns"

By default, axis=0.

Return Value

A DataFrame containing the specified rows or columns.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2,3],"B":[4,5,6],"C":[7,8,9]}, index=["a","b","c"])
df
A B C
a 1 4 7
b 2 5 8
c 3 6 9

Getting rows

To fetch the rows a and c:

df.take([0,2]) # axis=0
A B C
a 1 4 7
c 3 6 9

Getting columns

To fetch column B:

df.take([1], axis=1)
B
a 4
b 5
c 6

Specifying a negative index

To get the last row of the DataFrame:

df.take([-1])
A B C
c 3 6 9
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Published by Isshin Inada
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