Using PyMAPDL in Julia

If you like to work with Julia, you can use Python libraries as if they were Julia packages.

Installing Julia

To install Julia go to their website and follow the instructions given in the Download section.

Setting Julia Environment

To have access to Python libraries within Julia, you must install the [PyCall]( Julia package. To install it, run Julia and switch to the package manager by pressing the``”]”`` key.

If you need to work with different package versions or applications, it is beneficial to create a virtual environment in Julia. To create a virtual environment, use the activate command with the name of the new environment that you want to create or activate.

(@1.7) pkg> activate julia_test
  Activating project at `C:/Users/USER/julia_test`

A message should appear, indicating that the new package (julia_test) has been activated. This environment name will now precede the command line.

(julia_test) pkg>

Next install the PyCall package by typing:

(julia_test) pkg> add PyCall

To use PyCall, press the backspace key to go to the Julia command line. The command line will now be precede by the name Julia.


Next use the PyCall package with:

julia> using PyCall

This should be enough to use packages included in a basic Python distribution.

For example:

julia> math = pyimport("math")
math.sin(math.pi/4) # returns ≈ 1/√2 = 0.70710678..

Installing PyMAPDL in Julia

PyCall includes a lightweight Python environment that uses Conda to manage and access Python packages. This environment, currently based on Python 3.9.7, includes the standard basic Python libraries. However, because it is a fully working Python environment, you can still use it from outside the Julia command line and install Python packages using pip.

To install PyMAPDL, first locate the Python executable with:

julia> PyCall.python

In Linux, the above code prints the following, where python3 is the default Python3 installation for the operating system.

julia> PyCall.python


In Linux, there are no specific installation steps. You only need to add the Julia executable to the path. Hence, Julia’s Python installation path can differ from user to user. For example, if you uncompress the source files in /home/USER/Julia, Julia’s path will be /home/USER/Julia/julia-1.7.2/bin

You would use this Python executable to install PyMAPDL:

C:\Users\USER\.julia\conda\3\python.exe -m pip install ansys-mapdl-core

In Linux:, you would install with:

python3 -m pip install ansys-mapdl-core

Finally, after restarting Julia, you can import PyMAPDL using the same procedure as described above:

julia> using PyCall
julia> pymapdl = pyimport("ansys.mapdl.core")
PyObject <module 'ansys.mapdl.core' from 'C:\\Users\\USER\\.julia\\conda\\3\\lib\\site-packages\\ansys\\mapdl\\core\\'>
julia> mapdl = pymapdl.launch_mapdl()
julia> print(mapdl.__str__())
Product:             Ansys Mechanical Enterprise
MAPDL Version:       21.2
ansys.mapdl Version: 0.60.6


If you experience errors when using PyCall, you can try to rebuild the package by pressing "]" to go to the package manager and typing:

pkg> build PyCall

Using PyMAPDL in Julia

Here is a simple example of using PyMAPDL in Julia:

julia> using PyCall
julia> pymapdl = pyimport("ansys.mapdl.core")
julia> mapdl = pymapdl.launch_mapdl()
julia> np = pyimport("numpy")
julia> # define cylinder and mesh parameters
julia> torque = 100
julia> radius = 2
julia> h_tip = 2
julia> height = 20
julia> elemsize = 0.5
julia> pi = np.arccos(-1)
julia> force = 100/radius
julia> pressure = force/(h_tip*2*np.pi*radius)
julia> # Define higher-order SOLID186
julia> # Define surface effect elements SURF154 to apply torque
julia> # as a tangential pressure
julia> mapdl.prep7()
julia>, 186)
julia>, 154)
julia> mapdl.r(1)
julia> mapdl.r(2)
julia> # Aluminum properties (or something)
julia>"ex", 1, 10e6)
julia>"nuxy", 1, 0.3)
julia>"dens", 1, 0.1/386.1)
julia>"dens", 2, 0)
julia> # Simple cylinder
julia> for i in 1:5
            mapdl.cylind(radius, "", "", height, 90*(i-1), 90*i)
julia> end
julia> mapdl.nummrg("kp")
julia> # interactive volume plot (optional)
julia> mapdl.vplot()
julia> # mesh cylinder
julia> mapdl.lsel("s", "loc", "x", 0)
julia> mapdl.lsel("r", "loc", "y", 0)
julia> mapdl.lsel("r", "loc", "z", 0, height - h_tip)
julia> mapdl.lesize("all", elemsize*2)
julia> mapdl.mshape(0)
julia> mapdl.mshkey(1)
julia> mapdl.esize(elemsize)
julia> mapdl.allsel("all")
julia> mapdl.vsweep("ALL")
julia> mapdl.csys(1)
julia> mapdl.asel("s", "loc", "z", "", height - h_tip + 0.0001)
julia> mapdl.asel("r", "loc", "x", radius)
julia> mapdl.local(11, 1)
julia> mapdl.csys(0)
julia> mapdl.aatt(2, 2, 2, 11)
julia> mapdl.amesh("all")
julia> mapdl.finish()
julia> # plot elements
julia> mapdl.eplot()


Do notice the changes in the strings (only "" strings are allowed) and the loops.