pandas.api.types.is_scalar#

pandas.api.types.is_scalar(val)#

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

>>>importdatetime>>>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:

>>>fromfractionsimportFraction>>>pd.api.types.is_scalar(Fraction(3,5))True