# xarray.CFTimeIndex.ndim

#### *property* CFTimeIndex.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

<div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesShowIframe('1000bb3c-9547-465e-a3b2-aa08a97a9882','c03516ac-2a4c-49f7-aac5-e55014a6a61a','d49553a4-d726-4963-ac00-50e4870c354a','../lite/tree/../notebooks/index.html?path=b65964b7_1762_4ee2_a95f_5b3c8146df7a.ipynb','None')">Try it in your browser!</button></div>
```pycon
>>> s = pd.Series(["Ant", "Bear", "Cow"])
>>> s
0     Ant
1    Bear
2     Cow
dtype: str
>>> s.ndim
1
```

For Index:

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

<div id="d49553a4-d726-4963-ac00-50e4870c354a" class="try_examples_outer_iframe  hidden"><div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesHideIframe('1000bb3c-9547-465e-a3b2-aa08a97a9882','d49553a4-d726-4963-ac00-50e4870c354a')">Go Back</button><button class="try_examples_button" onclick="window.openInNewTab('1000bb3c-9547-465e-a3b2-aa08a97a9882','d49553a4-d726-4963-ac00-50e4870c354a')">Open In Tab</button></div><div id="c03516ac-2a4c-49f7-aac5-e55014a6a61a" class="jupyterlite_sphinx_iframe_container"></div></div><script>document.addEventListener("DOMContentLoaded", function() {window.loadTryExamplesConfig("../try_examples.json");});</script>