# Miscellaneous cartopy utilities¶

This module contains utilities that are useful in conjunction with cartopy.

`cartopy.util.``add_cyclic_point`(data, coord=None, axis=-1)[source]

Add a cyclic point to an array and optionally a corresponding coordinate.

Args:

• data:

An n-dimensional array of data to add a cyclic point to.

Kwargs:

• coord:

A 1-dimensional array which specifies the coordinate values for the dimension the cyclic point is to be added to. The coordinate values must be regularly spaced.

• axis:

Specifies the axis of the data array to add the cyclic point to. Defaults to the right-most axis.

Returns:

• cyclic_data:

The data array with a cyclic point added.

• cyclic_coord:

The coordinate with a cyclic point, only returned if the coord keyword was supplied.

Examples:

Adding a cyclic point to a data array, where the cyclic dimension is the right-most dimension

```>>> import numpy as np
>>> data = np.ones([5, 6]) * np.arange(6)
>>> print(cyclic_data)
[[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]]
```

Adding a cyclic point to a data array and an associated coordinate

```>>> lons = np.arange(0, 360, 60)
>>> cyclic_data, cyclic_lons = add_cyclic_point(data, coord=lons)
>>> print(cyclic_data)
[[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]
[ 0.  1.  2.  3.  4.  5.  0.]]
>>> print(cyclic_lons)
[  0  60 120 180 240 300 360]
```