We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi,
I installed stl_tools, but when I try the equation example:
from pylab import imread from stl_tools import numpy2stl, text2png, text2array text = ("$\oint_{\Gamma} (A\, dx + B\, dy) = \iint_{U} \left(\\frac{\partial " "B}{\partial x} - \\frac{\partial A}{\partial y}\\right)\ dxdy$ \n\n " "$\\frac{\partial \\rho}{\partial t} + \\frac{\partial}{\partial x_j}" "\left[ \\rho u_j \\right] = 0$") text2png(text, "Greens-Theorem_Navier-Stokes", fontsize=50) #save png A = imread("Greens-Theorem_Navier-Stokes.png") # read from rendered png A = A.mean(axis=2) #grayscale projection A = gaussian_filter(A.max() - A, 1.) numpy2stl(A, "Greens-Theorem_Navier-Stokes.stl", scale=0.2, mask_val = 5.)
This gives following error:
ValueError Traceback (most recent call last) <ipython-input-78-d36112c9354d> in <module>() 12 A = gaussian_filter(A.max() - A, 1.) 13 ---> 14 numpy2stl(A, "Greens-Theorem_Navier-Stokes.stl", scale=0.2, mask_val = 5.) /Applications/miniconda3/envs/work/lib/python3.5/site-packages/stl_tools/numpy2stl.py in numpy2stl(A, fn, scale, mask_val, ascii, max_width, max_depth, max_height, solid, min_thickness_percent, force_python) 187 facets = np.concatenate([facets, bottom]) 188 --> 189 xsize = facets[:, 3::3].ptp() 190 if xsize > max_width: 191 facets = facets * float(max_width) / xsize ValueError: zero-size array to reduction operation maximum which has no identity
This is the same error as when I use it for my own numpy arrays. Any idea?
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hi,
I installed stl_tools, but when I try the equation example:
This gives following error:
This is the same error as when I use it for my own numpy arrays. Any idea?
The text was updated successfully, but these errors were encountered: