Generates uniform 2-d mesh grid for 3-d surfaces visualisation via pyplot.
tfl.test_utils.two_dim_mesh_grid(
num_points, x_min, y_min, x_max, y_max
)
Uniformly distributes 'num_points' within rectangle:
(x_min, y_min) - (x_max, y_max)
'num_points' should be such that uniform distribution is possible. In other
words there should exist such integers 'x_points' and 'y_points' that:
- x_points * y_points == num_points
- x_points / y_points == (x_max - x_min) / (y_max - y_min)
Args |
|---|
num_points
|
number of points in the grid.
|
x_min
|
bounds of the grid.
|
y_min
|
bounds of the grid.
|
x_max
|
bounds of the grid.
|
y_max
|
bounds of the grid.
|
Returns |
|---|
|
Tuple containing 2 numpy arrays which represent X and Y coordinates of mesh
grid
|
Raises |
|---|
ValueError
|
if it's impossible to uniformly distribute 'num_points' across
specified grid.
|
View source on GitHub