Python Pool Map Example

At first, we need to write a function, that will be run by the process. Map is called for a list of jobs in one time results = pool.map (func, [1, 2, 3]) apply can only be called for one job You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

The following example demonstrates the common practice of defining such functions in a module so that child processes can successfully import that. Pool = multiprocessing.pool (processes=4) input_list = [1, 2, 3, 4] result_list = pool.map (parfunc, input_list) # 'map' waits until the result is ready print (result_list) They block the main process until all the processes complete and return the result.

The syntax is pool.map_async (function, iterable, chunksize, callback, error_callback).

Example in this example below, the map function is used to apply the square () function to every value in the values array. Python multiprocessing.pool.map () examples the following are 30 code examples of multiprocessing.pool.map (). Similar results can be achieved using map_async, apply and apply_async which can be found in the documentation. An iterator, for example, can be a list, a tuple, a string, etc.