Dask Dask

This function accepts a Dask DataFrame, a column name, and an aggregation function, then performs data aggregation on the specified column using the aggregation function, and finally returns the aggregated result as a Dask DataFrame.

Dask DataFrame Aggregation 2024-12-16 12:17:42 17 views

pymongo

This function uses MongoDB's aggregation pipeline to process data in the collection. It first uses the $match stage to filter records, then uses the $group stage to group records and calculate the sum of values for each category, and finally uses the $sort stage to sort by the sum.

The type of code 2024-12-16 12:17:39 15 views

Luigi pandas

This code defines two Luigi tasks: GenerateData and AggregateData. The GenerateData task generates a DataFrame with a random date and a random number of rows, while the AggregateData task reads the data generated by GenerateData, calculates the sum of all numbers.

The type of code 2024-12-16 12:14:49 7 views

Dask NumPy

This function reads a CSV file from a specified path and calculates the mean and median of the 'value' column. It uses Dask for big data processing to improve computational efficiency.

The type of code 2024-12-16 12:11:55 15 views

MongoDB PyMongo

This function fetches a random document from a specified MongoDB collection. It first connects to the local MongoDB instance, then queries the specified collection, and uses the $sample aggregation operation to randomly select a document.

Database query 2024-12-16 12:11:41 3 views

pymongo

This function accepts a MongoDB collection and an aggregation pipeline, and returns the aggregated results. An aggregation pipeline is a list of stages that perform specific data operations.

Function 2024-12-16 12:09:17 4 views

MongoDB pymongo

This function takes a MongoDB collection and an aggregation pipeline as arguments, then performs an aggregation operation on the collection using the provided pipeline and returns the result as a list.

Function 2024-12-16 12:07:41 3 views

Dask Pandas

This function accepts a Dask DataFrame, a column name for grouping, and an aggregation function. It then performs an aggregation on the specified column. First, the Dask DataFrame is converted to a Pandas DataFrame to perform the aggregation, then the groupby and agg methods are used to perform the aggregation, and finally, the aggregated Pandas DataFrame is converted back to a Dask DataFrame.

Custom function 2024-12-16 12:04:02 3 views

Motor MongoDB

This function connects to a MongoDB database, performs an aggregation query, and returns the category and count of documents that meet specific conditions.

The type of code 2024-12-16 12:03:32 3 views

Dask pandas

This function takes a Dask DataFrame, a column name for grouping, and a dictionary specifying the aggregation functions, then performs grouping and aggregation on the data.

The type of code 2024-12-16 11:56:48 3 views