Series.min()

pandas.Series.min

Series.min(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
This method returns the minimum of the values in the object.
If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin.
Parameters:

axis : {index (0)}

skipna : boolean, default True

Exclude NA/null values. If an entire row/column is NA, the result will be NA

level : int or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar

numeric_only : boolean, default None

Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric data

Returns:

min : scalar or Series (if level specified)

© 2011–2012 Lambda Foundry, Inc. and PyData Development Team
© 2008–2011 AQR Capital Management, LLC
© 2008–2014 the pandas development team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.Series.min.html

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