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# pandas.Series.ndim

property Series.ndim

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

  Series and Index are one-dimensional; this property always returns 1 for compatibility with array-like interfaces.

  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: str
      >>> s.ndim
      1

  For Index:

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