Pandas astype errors=’ignore’: Skip failed dtype conversions

Calling astype on Python Pandas series with unconvertible values?

Use errors=’ignore’ to skip the error:

s = pd.Series([10, np.nan, 30])
s.astype('int8')  # raises IntCastingNaNError
s.astype('int8', errors='ignore')  # keeps original dtype