Add dask.from_map in dask_utils/time_series_utils

[tiffanychu90]

• Start with a notebook in rt_segment_speeds/41_dask_from_map.ipynb testing how to use dask.from_map
• Follow dask tutorial example and add the necessary functions into shared_utils.dask_utils and make sure it supports necessary args/kwargs for time_series_utils
• Add functions into shared_utils.time_helpers for adding service_date, year, quarter, since these used to be part of time_series_utils. For dask.from_map, put these functions here so we can pipe these additional functions through.
• Refactor quarter_year_averages.py for segment speed averaging and use these functions
  • Quarterly and yearly averages each take ~10 min, down from 25 min before for yearly averages (quarterly averages blew the kernel)
  • This is better. This can still get refactored to simplify the logic and see if we can stack yearly on top of quarterly so we don't have two, independent, 10 minute steps.

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/41_dask_from_map.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/41_dask_from_map.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/41_dask_from_map.ipynb

[github-actions]

nbviewer URLs for impacted notebooks:

• rt_segment_speeds/41_dask_from_map.ipynb