- Refactored EventsLoader and BlazeEventsLoader to not require a
subclass per dataset. Instead, you now pass a map from columns to
event fields directly to the EventsLoader constructor.
- Removed a large number of Quantopian-specific datasets and associated
tests.
- Rewrote the core logic of EventsLoader and BlazeEventsLoader to share
index calculations across multiple requested columns.
- Fixed a bug where event fields were incorrectly forward-filled when
null values were present in an event.
MAINT: add back cash amount constant
BUG: fix field names
BUG: pass remaining args
WIP: make buyback units parameterized so that user can choose
BUG: fix filtering based on units parameter
WIP: test for undesired units
Revert "WIP: make buyback units parameterized so that user can choose"
This reverts commit df3b838d525bff5026eba1d81865c6645d534c88.
WIP: finish refactoring blaze events loader.
WIP: tests passing for earnings.
BUG: pass all kwargs explicitly for BlazeEventsCalendarLoader.
If this is not done, resources are not bound correctly.
MAINT: refactor for buyback_auth.
EarningsCalendar loader.
- Moves most of AdjustedArray back into Python. The window iterator is
the only part that's performance-intensive.
- Adds a bootleg templating system for creating specialized versions of
AdjustedArrayWindow for each concrete type we care about.
- Adds support for differently dtyped terms in pipeline. This allows us
to use datetime64s which are needed in the EarningsCalendar.
- Adds EarningsCalendar dataset for the next and previous earnings
announcements in pipeline.
- Adds in memory loader for EarningsCalendar.
- Adds blaze loader for EarningsCalendar.
Scott Sanderson