SectionProperties update 3

The SectionProperties spreadsheets previously posted had limited graphics capabilities due to problems with the plotting routines causing Excel to crash. I have now fixed that problem by updating some Python libraries with pip:

  • installing mkl-service
  • numpy 1.21.2 -> 1.22.1
  • Pillow 8.4.0 -> 9.0.0
  • matplotlib 3.4.3 -> 3.5.1/

With these upgrades the SectionProperties plotting routines work without problems, and can be called from Excel using pyxll with the following code:

# Create section object
    geometry.create_mesh(mesh_sizes=meshSize)
    section = Section(geometry)
    section.calculate_geometric_properties()
    section.calculate_warping_properties()
    section.calculate_plastic_properties()

# Create matplotlib ax and fig:
    try:
        ax = section.plot_centroids( render = False)
        fig = ax.get_figure()
    except:
        return np.array([["Invalid geometry, check section dimensions"]])

# Plot in Excel
    pyxll.plot(fig)

The updated spreadsheet can be downloaded from:

py_SectProp2_02a.zip

See SectionProperties update update for details of other software required.

Examples of the new graphs:

Mesh and Centroids
Steel Section mesh and centroids
Super T section ZX stress plot
I Girder ZY stress plot
This entry was posted in Beam Bending, Charts, Charts, Coordinate Geometry, Excel, Finite Element Analysis, Link to Python, Maths, Newton, NumPy and SciPy, PyXLL and tagged , , , , , . Bookmark the permalink.

2 Responses to SectionProperties update 3

  1. Pingback: More Matplotlib problems | Newton Excel Bach, not (just) an Excel Blog

  2. Pingback: Installing Python and pyxll from scratch | Newton Excel Bach, not (just) an Excel Blog

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.