python

Pandas DataFrame memory error

MemoryError.*pandas.*DataFrame

Fixes

1.Use dtype optimization: df = pd.read_csv(file, dtype={'col': 'int32'})
2.Read in chunks with chunksize parameter
3.Use category dtype for low-cardinality string columns

pandasmemory

Related Errors

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()

Coroutine never awaited

RuntimeWarning: coroutine '.*' was never awaited

•Add 'await' before the coroutine call
•Use asyncio.create_task() to schedule the coroutine

Asyncio task was cancelled

asyncio\.CancelledError

•Handle CancelledError in try/except within the task
•Use asyncio.shield() to protect critical sections from cancellation