Groupby minimum in pandas python can be accomplished by groupby() function. Groupby minimum of multiple column and single column in pandas is accomplished by multiple ways some among them are groupby() function and aggregate() function. let’s see how to

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• Python’s numpy module provides a function to get the minimum value from a Numpy array i.e. Numpy.amin(a, axis=None, out=None, keepdims=, initial=).
• Through indexing, you can retrieve an item or range of items from a list. You can only retrieve a specific item from a list if you know the index number associated with that value. To find the index value of the largest item in a list, you can use the max and index methods.
• Python List index The index method returns the index of the specified element in the list. The syntax of the list index method is: list.index(element, start, end) list index parameters. The list index method can take a maximum of three arguments: element - the element to be searched.

• Groupby single column in pandas – groupby minimum
• Groupby multiple columns in pandas – groupby minimum
• Groupby minimum using aggregate() function
• Groupby minimum using pivot() function.
• using reset_index() function for groupby multiple columns and single columns

The min function returns the item with the lowest value, or the item with the lowest value in an iterable. If the values are strings, an alphabetically comparison is done.

First let’s create a dataframe

df1 will be

Groupby single column – groupby min pandas python:

groupby() function takes up the column name as argument followed by min() function as shown below

We will groupby min with single column (State), so the result will be

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using reset_index()

reset_index() function resets and provides the new index to the grouped by dataframe and makes them a proper dataframe structure

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We will groupby min with “State” column along with the reset_index() will give a proper table structure , so the result will be

Groupby multiple columns – groupby min pandas python:

We will groupby min with State and Product columns, so the result will be

Groupby Min of multiple columns in pandas using reset_index()

reset_index() function resets and provides the new index to the grouped by dataframe and makes them a proper dataframe structure

We will groupby min with “Product” and “State” columns along with the reset_index() will give a proper table structure , so the result will be

Using aggregate() function:

agg() function takes ‘min’ as input which performs groupby min, reset_index() assigns the new index to the grouped by dataframe and makes them a proper dataframe structure

We will compute groupby min using agg() function with “Product” and “State” columns along with the reset_index() will give a proper table structure , so the result will be

using Pivot() function :

You can use the pivot() functionality to arrange the data in a nice table.

groupby() function along with the pivot function() gives a nice table format as shown below

Short answer: To find the minimal list in a list of lists, you need to make two lists comparable. How? With the key argument of the min() function. The key argument is a function that takes one input (a list) and returns one output (a numerical value). The list with the smallest numerical value is returned as the minimum of the list of lists.

Problem: Say you have a list of lists (nested list) and you want to find the minimum of this list. It’s not trivial to compare lists—what’s the minimum among lists after all? To define the minimum among the inner lists, you may want to consider different objectives.

1. The first element of each inner list.
2. The i-th element of each inner list.
3. The sum of inner list elements.
4. The maximum of inner list elements.
5. The minimum of inner list elements.

Example: Given list of lists [[1, 1, 1], [0, 2, 0], [3, 3, -1]]. Which is the minimum element?

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1. The first element of each inner list. The minimum is [0, 2, 0].
2. The i-th element of each inner list (i = 2). The minimum is [3, 3, -1].
3. The sum of inner list elements. The minimum is [0, 2, 0].
4. The maximum of inner list elements. The minimum is [1, 1, 1].
5. The minimum of inner list elements. The minimum is [3, 3, -1].

So how do you accomplish this?

Solution: Use the min() function with key argument.

Syntax: The min() function is a built-in function in Python (Python versions 2.x and 3.x). Here’s the syntax:

min(iterable, key=None)

Arguments:

Let’s study the solution code for our different versions of calculating the minimal “list” of a list of lists (nested list).

Try it yourself in our interactive code shell:

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