pandas.api.types.is_list_like#
- pandas.api.types.is_list_like(obj, allow_sets=True)#
Check if the object is list-like.
Objects that are considered list-like are for example Python lists, tuples, sets, NumPy arrays, and Pandas Series.
Strings and datetime objects, however, are not considered list-like.
- Parameters:
- objobject
Object to check.
- allow_setsbool, default True
If this parameter is False, sets will not be considered list-like.
- Returns:
- bool
Whether obj has list-like properties.
See also
Series
One-dimensional ndarray with axis labels (including time series).
Index
Immutable sequence used for indexing and alignment.
numpy.ndarray
Array object from NumPy, which is considered list-like.
Examples
>>> import datetime >>> from pandas.api.types import is_list_like >>> is_list_like([1, 2, 3]) True >>> is_list_like({1, 2, 3}) True >>> is_list_like(datetime.datetime(2017, 1, 1)) False >>> is_list_like("foo") False >>> is_list_like(1) False >>> is_list_like(np.array([2])) True >>> is_list_like(np.array(2)) False