In no particular order:
-
Implement parallel evaluation when
modules="mpmath"
ormodules="sympy"
. Motivational example. -
plot3d_implicit
with matplotlib: possible by adding some dependency: PyMCubes or scikit-image. -
plot_implicit
: decoupleAnd
expressions and plot them with contours following a strategy similar to sage. -
3D vector fields: discretize the volume with two polar parameters, or two cylindrical parameters.
-
Control system plotting for Plotly.
-
implement parametric-widgets support for
xlim, ylim, zlim
andxlabel, ylabel, zlabel
. -
Create a way to apply rotation/translation/scaling transformation to 3D entities (obviously, with interactive plotting in mind).
-
Custom legend position with keyword argument.
-
Apply
pi
tick format to axis labels. -
Wireframe lines for iso-modulus, iso-phase on
analytic_landscape
. -
Asymptotes on 3D plots: probably requires to break mesh connectivity.