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Summary Use the count() method to get the number of objects of a QuerySet . Use the Max() to get the maximum value in a set of values. Use the Min() to get the minimum value in a set of values. Use the Avg() to get the average value in a set of values. Use the Sum() to get the total value of a set.

Using Aggregate Functions on DataFrame aggregate() function to calculate any aggregations on the selected columns of DataFrame and apply multiple aggregations at the same time. The below example df[['Fee','Discount']] returns a DataFrame with two columns and aggregate('sum') returns the sum for each column.

Joins and aggregates When specifying the field to be aggregated in an aggregate function, Django will allow you to use the same double underscore notation that is used when referring to related fields in filters. Django will then handle any table joins that are required to retrieve and aggregate the related value.

Pandas DataFrame aggregate() Method The aggregate() method allows you to apply a function or a list of function names to be executed along one of the axis of the DataFrame, default 0, which is the index (row) axis. Note: the agg() method is an alias of the aggregate() method.

Annotate in Django Annotation of an object creates a separate summary for each object in a queryset. It is often used to obtain a summary of a particular object.

When specifying the field to be aggregated in an aggregate function, Django will allow you to use the same double underscore notation that is used when referring to related fields in filters. Django will then handle any table joins that are required to retrieve and aggregate the related value.

Difference between annotate() and aggregate(): annotate() aims to evaluate every row in a queryset and create a pseudo field for the same, whereas aggregate() evaluates the queryset as a whole and brings out the final result.

Summary Use the count() method to get the number of objects of a QuerySet . Use the Max() to get the maximum value in a set of values. Use the Min() to get the minimum value in a set of values. Use the Avg() to get the average value in a set of values. Use the Sum() to get the total value of a set.

Using Aggregate Functions on DataFrame aggregate() function to calculate any aggregations on the selected columns of DataFrame and apply multiple aggregations at the same time. The below example df[['Fee','Discount']] returns a DataFrame with two columns and aggregate('sum') returns the sum for each column.

Joins and aggregates When specifying the field to be aggregated in an aggregate function, Django will allow you to use the same double underscore notation that is used when referring to related fields in filters. Django will then handle any table joins that are required to retrieve and aggregate the related value.

Pandas DataFrame aggregate() Method The aggregate() method allows you to apply a function or a list of function names to be executed along one of the axis of the DataFrame, default 0, which is the index (row) axis. Note: the agg() method is an alias of the aggregate() method.

Annotate in Django Annotation of an object creates a separate summary for each object in a queryset. It is often used to obtain a summary of a particular object.

When specifying the field to be aggregated in an aggregate function, Django will allow you to use the same double underscore notation that is used when referring to related fields in filters. Django will then handle any table joins that are required to retrieve and aggregate the related value.

Difference between annotate() and aggregate(): annotate() aims to evaluate every row in a queryset and create a pseudo field for the same, whereas aggregate() evaluates the queryset as a whole and brings out the final result.