Pandas DataFrame: min() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - min() function

The min() function returns the minimum of the values for the requested axis.

If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin.

Syntax:

DataFrame.min(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
axis	Axis for the function to be applied on.	{index (0), columns (1)}	Required
skipna	Exclude NA/null values when computing the result.	bool Default Value: True	Required
level	If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series.	int or level name Default Value: None	Required
numeric_only	Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.	bool Default Value: None	Required
**kwargs	Additional keyword arguments to be passed to the function.		Required

Returns:Series or DataFrame (if level specified)

Example:

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