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

Dask NumPy

This function accepts a Dask array (data) and a number of samples (num_samples). It first shuffles the array and then samples a specified number of elements from it.

Function 2024-12-16 12:16:58 15 views

This function

This function uses the Dask library to create a random array and then performs a random mathematical operation (such as sum, mean, max, min, etc.) on the array, returning the result of the operation.

The type of code 2024-12-16 12:16:32 26 views

Dask NumPy

This function uses the Dask library to generate a random walk path. It first generates a series of random x and y coordinates, then converts these coordinates into a Dask array using Dask's `from_array` method, and finally returns this Dask array.

The type of code 2024-12-16 12:14:10 15 views

Dask numpy

This function accepts a Dask DataFrame and the number of new columns to add. It then creates new random columns with random values using numpy and adds these columns to the original DataFrame.

Function 2024-12-16 12:11:55 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

Dask Dask

This function receives two Dask DataFrames as input, merges them along the column axis (axis=1) using `dd.concat`, and then aggregates the concatenated DataFrame by summing along the columns, returning the aggregated result.

Data processing function 2024-12-16 12:09:38 3 views

Dask Dask

This function accepts a Dask DataFrame and an integer to specify the number of new columns to add. The function first generates random data to fill the new columns and then adds these columns to the original DataFrame.

The type of code 2024-12-16 12:09:38 4 views

Dask NumPy

This function simulates a random walk process and calculates the position after n_steps from the starting point.

Function 2024-12-16 12:07:39 5 views

Dask NumPy

This code uses the Dask library to generate a random walk dataset and convert the data to Dask arrays. This helps to handle large datasets.

The type of code 2024-12-16 12:07:27 14 views