python
Pandas cannot cast NaN to integer
pd\.errors\.IntCastingNaNError.*Cannot convert non-finite values
Fixes
- 1.Use pd.Int64Dtype() (nullable integer): df['col'].astype('Int64')
- 2.Fill NaN before casting: df['col'].fillna(0).astype(int)
- 3.Drop NaN rows first: df.dropna(subset=['col'])
pandasdtypesnan
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