Ctrlk
HomeChartsCoverage
For the complete documentation index, see llms.txt. This page is also available as Markdown.

ParallelDataCollection

class coinmetrics._data_collection.ParallelDataCollection(
    parent_data_collection,
    parallelize_on=None,
    executor=None,
    max_workers=None,
    progress_bar=None,
    time_increment=None,
    height_increment=None,
)

Bases: DataCollection

This class will be used as an extension of the normal data collection, but all functions will run in parallel, utilizing Python's concurrent.futures features. The main purpose of this class is for historical export of data.

  • Parameters:

    • parent_data_collection (DataCollection)

    • parallelize_on (Optional *[*Union [str , List [str ] ] ])

    • executor (Optional *[*Callable [ ... , Executor ] ])

    • max_workers (Optional [int ])

    • progress_bar (Optional [bool ])

    • time_increment (Optional *[*Union *[*relativedelta , timedelta , DateOffset ] ])

    • height_increment (Optional [int ])

Methods

PreviousDataCollection.parallelNextParallelDataCollection.get_parallel_datacollections

Last updated

Was this helpful?