pandas.api.types.is_scalar¶
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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