Using NDTAMR and retrieving a grid

[mzajd]

Hello,

I followed along with the example and generated and refined a tree object over a 2d function. Once this is done, how can I get the grid object? The data that includes the points and values?

I tried accessing vis.convert_to_uniform(tree) but this gives me a TypeError

---

TypeError Traceback (most recent call last)
in
----> 1 vis.convert_to_uniform(t,dims=[0,1],func=lambda x: x,mask=lambda x: False,alpha_func=lambda x: 1,pad=None)

~\miniconda3\lib\site-packages\ndtamr\Vis.py in convert_to_uniform(tree, dims, slice_, q, func, mask, alpha_func, pad)
258 a = alpha_func(n)
259 if lvl == lmax:
--> 260 result[i,j] = d
261 alpha[i,j] = a
262 mask_arr[i,j] = m

TypeError: float() argument must be a string or a number, not 'Node'

[Interfluo]

@mzajd I am having the same issue, did you ever resolve this?

[mzajd]

No....I ended up using gnuplot and matplotlib for the visualizations I needed.

…

On Tue., Apr. 6, 2021, 11:39 p.m. Interfluo, ***@***.***> wrote: @mzajd <https://github.com/mzajd> I am having the same issue, did you ever resolve this? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#3 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AQBJX2FSAFITRCVUR7D7GQLTHPHV7ANCNFSM4PJGZNVA> .

[Interfluo]

@mzajd
I was able to extract the grid nodes and plot them, maybe this is helpful

`grid = vis.generate_grid(t)
print("\ninitial grid points:", grid)
coords = []
x = []
y = []
for i in range(len(grid)):
for j in range(len(grid[i])):
coords.append(grid[i][j])
x.append(grid[i][j][0])
y.append(grid[i][j][1])
print("coordinates:", coords)
print("x:", x)
print("y:", y)

plt.scatter(x, y, c='k', s=1)
plt.show()`