Series.min()
Pandas Series.min()
returns the mode of the underlying data in the given Series object ... This function always returns Series, even if only one value is returned.
Syntax: Series.min (axis = None, skipna = None, level = None, numeric_only = None, ** kwargs)
Parameter:
axis: Axis for the function to be applied on.
skipna: Exclude NA / null values when computing the result.
level: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar .
numeric_only: Include only float, int, boolean columns.
** kwargs: Additional keyword arguments to be passed to the function.Returns: min: scalar or Series (if level specified)
Example # 1: Use Series.min ()
to find the minimum value among the underlying data in a given series object.

Output:
We will now use Series.min ()
to find the minimum value for a given series object.

Output:
As we can see in output, Series.min ()
successfully returned the minimum value of the given series object.
Example # 2: Use Series.min ()
to find the minimum value among the underlying data in a given series object. This series object also contains some missing values.

Output:
Now we will use Series.min ()
to find the minimum the value of this series object. we`re going to skip missing values when looking for the minimum value.

Output:
As we can see in the output, Series.min ()
successfully returned the minimum value given th object of the series.
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