# discretize.CurvilinearMesh.edges_x¶

property CurvilinearMesh.edges_x

Gridded x-edge locations (staggered grid)

This property returns a numpy array of shape (n_edges_x, dim) containing gridded locations for all x-edges in the mesh (staggered grid). For curvilinear meshes whose structure is minimally staggered, the x-edges are edges oriented primarily along the x-direction. For highly irregular meshes however, this is not the case; see the examples below.

Returns
(`n_edges_x`, `dim`) `numpy.ndarray` `of` `float`

Gridded x-edge locations (staggered grid)

Examples

Here, we provide an example of a minimally staggered curvilinear mesh. In this case, the x-edges are primarily oriented along the x-direction.

```>>> from discretize import CurvilinearMesh
>>> from discretize.utils import example_curvilinear_grid, mkvc
>>> from matplotlib import pyplot as plt
```
```>>> x, y = example_curvilinear_grid([10, 10], "rotate")
>>> mesh1 = CurvilinearMesh([x, y])
>>> x_edges = mesh1.edges_x
```
```>>> fig1 = plt.figure(figsize=(5, 5))
>>> mesh1.plot_grid(ax=ax1)
>>> ax1.scatter(x_edges[:, 0], x_edges[:, 1], 30, 'r')
>>> ax1.legend(['Mesh', 'X-edges'], fontsize=16)
>>> plt.plot()
```

Here, we provide an example of a highly irregular curvilinear mesh. In this case, the x-edges are not aligned primarily along a particular direction.

```>>> x, y = example_curvilinear_grid([10, 10], "sphere")
>>> mesh2 = CurvilinearMesh([x, y])
>>> x_edges = mesh2.edges_x
```
```>>> fig2 = plt.figure(figsize=(5, 5))  