verde.scatter_points¶

verde.scatter_points(region, size, random_state=None, extra_coords=None)[source]¶

Generate the coordinates for a random scatter of points.

The points are drawn from a uniform distribution.

Parameters

region (list = [W, E, S, N]) – The boundaries of a given region in Cartesian or geographic coordinates.
size (int) – The number of points to generate.
random_state (numpy.random.RandomState or an int seed) – A random number generator used to define the state of the random permutations. Use a fixed seed to make sure computations are reproducible. Use None to choose a seed automatically (resulting in different numbers with each run).
extra_coords (None, scalar, or list) – If not None, then value(s) of extra coordinate arrays to be generated. These extra arrays will have the same size as the others but will contain a constant value. Will generate an extra array per value given in extra_coords. Use this to generate arrays of constant heights or times, for example, that might be needed to evaluate a gridder.

Returns

coordinates (tuple of arrays) – Arrays with coordinates of each point in the grid. Each array contains values for a dimension in the order: easting, northing, vertical, and any extra dimensions given in extra_coords. All arrays will have the specified size.

Examples

>>> # We'll use a seed value will ensure that the same will be generated
>>> # every time.
>>> easting, northing = scatter_points((0, 10, -2, -1), 4, random_state=0)
>>> print(', '.join(['{:.4f}'.format(i) for i in easting]))
5.4881, 7.1519, 6.0276, 5.4488
>>> print(', '.join(['{:.4f}'.format(i) for i in northing]))
-1.5763, -1.3541, -1.5624, -1.1082
>>> easting, northing, height = scatter_points(
...     (0, 10, -2, -1), 4, random_state=0, extra_coords=12
... )
>>> print(height)
[12. 12. 12. 12.]
>>> easting, northing, height, time = scatter_points(
...     (0, 10, -2, -1), 4, random_state=0, extra_coords=[12, 1986])
>>> print(height)
[12. 12. 12. 12.]
>>> print(time)
[1986. 1986. 1986. 1986.]