pandas.api.types.is_scalar

pandas.api.types.is_scalar()

Return True if given value is scalar.

Parameters:	val : object This includes: numpy array scalar (e.g. np.int64) Python builtin numerics Python builtin byte arrays and strings None datetime.datetime datetime.timedelta Period decimal.Decimal Interval DateOffset Fraction Number
Returns:	bool Return True if given object is scalar, False otherwise

Examples

>>> dt = pd.datetime.datetime(2018, 10, 3)
>>> pd.is_scalar(dt)
True

>>> pd.api.types.is_scalar([2, 3])
False

>>> pd.api.types.is_scalar({0: 1, 2: 3})
False

>>> pd.api.types.is_scalar((0, 2))
False

pandas supports PEP 3141 numbers:

>>> from fractions import Fraction
>>> pd.api.types.is_scalar(Fraction(3, 5))
True