pandas.api.types.is_scalar

pandas.api.types.is_scalar()

Return True if given object is scalar.

Parameters

valobject

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.

Examples

>>> dt = datetime.datetime(2018, 10, 3)
>>> pd.api.types.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

pandas.api.types.is_re_compilable pandas.show_versions