pandas.Index.ndim#

property Index.ndim[source]#

Number of dimensions of the underlying data, by definition 1.

See also

Series.size: Return the number of elements in the underlying data.
Series.shape: Return a tuple of the shape of the underlying data.
Series.dtype: Return the dtype object of the underlying data.
Series.values: Return Series as ndarray or ndarray-like depending on the dtype.

Examples

>>> s = pd.Series(["Ant", "Bear", "Cow"])
>>> s
0     Ant
1    Bear
2     Cow
dtype: object
>>> s.ndim
1

For Index:

>>> idx = pd.Index([1, 2, 3])
>>> idx
Index([1, 2, 3], dtype='int64')
>>> idx.ndim
1