python
Pandas merge with duplicate keys
pandas\.errors\.MergeError.*merge keys.*not unique in (left|right) dataset
Fixes
- 1.Use validate='one_to_one' to detect and raise early
- 2.Deduplicate before merge: df.drop_duplicates(subset=['key'])
- 3.Use validate='many_to_one' or 'one_to_many' if duplicates are expected on one side
pandasmerge
Related Errors
python3 fixes
Asyncio event loop already running
RuntimeError: This event loop is already running
- •Use nest_asyncio.apply() to allow nested event loops
- •Use asyncio.run_coroutine_threadsafe() instead of asyncio.run()
python3 fixes
Coroutine never awaited
RuntimeWarning: coroutine '.*' was never awaited
- •Add 'await' before the coroutine call
- •Use asyncio.create_task() to schedule the coroutine
python3 fixes
Asyncio task was cancelled
asyncio\.CancelledError
- •Handle CancelledError in try/except within the task
- •Use asyncio.shield() to protect critical sections from cancellation