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Pandas DataFrame: min() function

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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