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Pandas DataFrame | idxmin method

Programming
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Python
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Pandas
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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.idxmin(~) method returns the column/row label of the minimum value of each row/column of the source DataFrame. If there are multiple minimums, then the index or label of the first minimum is returned.

Parameters

1. axis | int or string | optional

Whether to return the index of the maximum row-wise or column-wise:

Axis

Description

Index (row label) of the minimum in each column

"index" or 0

Column label of the minimum of each row.

"columns" or 1

By default, axis=0.

2. skipna | boolean | optional

Whether or not to skip NaN values. By default, skipna=True.

Return Value

A Series holding the label of the minimum value of each row or column of the source DataFrame.

Examples

Consider the following DataFrame:

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

The row label of the minimum value for each column is:

df.idxmin()
A a
B b
dtype: object

The column label of the minimum value for each row is:

df.idxmin(axis=1)
a A
b A
dtype: object
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Published by Isshin Inada
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