Python | Pandas Series.min ()

Python Methods and Functions

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.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ 10 , 25 , 3 , 25 , 24 , 6 ])

  
# Create index

index_ = [ `Coca Cola` ,   `Sprite` , ` Coke` , `Fanta` , ` Dew` , `ThumbsUp` ]

 
# set index

sr.index = index_

 
# Print series

print (sr)

Output:

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

# return the minimum value in
# series of objects

result = sr. min ()

 
# Print result

print (result)

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.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ 19.5 , 16.8 , None , 22.78 , 16.8 , 20.124 , None , 18.1002 , 19.5 ])

 
# Print series

print (sr)

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.

# return the minimum value
# series of objects

result = sr. min (skipna = True )

 
# Print the result

print (result)

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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