Grid must be sorted error

[gabrieldernbach]

I want to run FFTKDE on a custom 2D grid, and found a related issue here:
Coming from #15

When I sue the code provided there (with KDEpy Version '1.1.0') I get a grid-must be sorted error

# Create bimodal 2D data
data = np.array([[-1, 1], [0, 1], [1, 1], [-1, -1], [0, -1], [1, -1]])

# Create 2D grid
grid_x = np.linspace(-2, 2, 2 ** 5)
grid_y = np.linspace(-2, 2, 2 ** 4)
grid = np.stack(np.meshgrid(grid_x, grid_y), -1).reshape(-1, 2)

# density estimates
y1 = KDEpy.FFTKDE(bw=0.2).fit(data).evaluate(grid)

What is the recommended way to provide grids then?
The documentation only provides a 1D case (y = FFTKDE().fit(data)(np.linspace(-10, 10, num=2**12)))

[trungnth]

I'm a python novice but there's an example in 2D case:

    from mpl_toolkits.mplot3d import Axes3D
    from matplotlib.colors import LightSource
    from matplotlib import cm
    import matplotlib.pyplot as plt
    import numpy as np

    ax = plt.subplot(2, 3, 4, projection="3d")
    plt.title("Kernels normalized in any\ndimension for any $p$-norm", fontsize=6)
    data = np.array([[0, 0]])
    grid_points = 2**6  # Grid points in each dimension
    
    from KDEpy import FFTKDE
    x, z = FFTKDE(kernel="gaussian", bw=1, norm=2).fit(data)((grid_points, grid_points))
    x, y = np.unique(x[:, 0]), np.unique(x[:, 1])
    x, y = np.meshgrid(x, y)
    z = z.reshape(grid_points, grid_points).T + 0.1
    ls = LightSource(350, 45)
    rgb = ls.shade(z, cmap=cm.PuBu, vert_exag=0.1, blend_mode="soft")
    surf = ax.plot_surface(
        x,
        y,
        z,
        rstride=1,
        cstride=1,
        facecolors=rgb,
        linewidth=0,
        antialiased=False,
        shade=True,
    )
    ax.view_init(30, 65)
    plt.yticks([])
    plt.xticks([])
    ax.set_zticks([])

[tommyod]

Thanks @trungnth !