pandas.errors.IntCastingNaNError

exception pandas.errors.IntCastingNaNError

Exception raised when converting (astype) an array with NaN to an integer type.

This error occurs when attempting to cast a data structure containing non-finite values (such as NaN or infinity) to an integer data type. Integer types do not support non-finite values, so such conversions are explicitly disallowed to prevent silent data corruption or unexpected behavior.

See also

DataFrame.astype

Method to cast a pandas DataFrame object to a specified dtype.

Series.astype

Method to cast a pandas Series object to a specified dtype.

Examples

>>> pd.DataFrame(np.array([[1, np.nan], [2, 3]]), dtype="i8")
Traceback (most recent call last):
IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer