Category Archives: PyXLL

SectionProperties update update

Posted on 26/01/2022 by dougaj4

Since my previous post on the Python SectionProperties program it has been updated to Rel. 2.02, with some major changes: The mesh generation library has been changed from MeshPY to Triangle New functions have been added for: Steel sections Concrete … Continue reading →

Posted in Concrete, Excel, Finite Element Analysis, Link to Python, Newton, PyXLL, Strand7 | Tagged , , , , | 2 Comments

SectionProperties update

Posted on 16/01/2022 by dougaj4

In late 2017 I posted Section Properties with MeshPY, including torsion and warping which looked at an Excel front end for Robbie van Leeuwen’s SectionProperties program, which provides facilities for calculation of section properties of complex shapes, including torsion and warping constants. … Continue reading →

Posted in Charts, Excel, Finite Element Analysis, Link to Python, Newton, Numerical integration, NumPy and SciPy, PyXLL, Strand7 | Tagged , , , , | 1 Comment

Contour plots with Excel and Matplotlib – 2 

Posted on 30/12/2021 by dougaj4

The procedures discussed in the previous post required the contour data to be arranged on a regular rectangular grid, with the data points listed in a 2D array. As far as I know there is no built in alternative in … Continue reading →

Posted in Arrays, Charts, Excel, Finite Element Analysis, Link to Python, Newton, NumPy and SciPy, PyXLL, Strand7, UDFs | Tagged , , , , | 1 Comment

Contour plots with Excel and Matplotlib

Posted on 28/12/2021 by dougaj4

Contour plots are widely used for a great variety of purposes, but facilities for producing them in Excel are very limited, and those that are provided are very well hidden. In this post I will look at some simple examples … Continue reading →

Posted in Arrays, Charts, Charts, Excel, Finite Element Analysis, Link to Python, NumPy and SciPy, PyXLL, Strand7, UDFs | Tagged , , , , , | 1 Comment

Plotting Mandelbrot in Excel with Matplotlib

Posted on 17/12/2021 by dougaj4

The functions used in the previous post generate an array of integers, the number of iterations for the function return value to exceed 2. This post looks in more detail at how this data can be plotted in Excel using … Continue reading →

Posted in Charts, Charts, Drawing, Excel, Link to Python, Maths, Newton, NumPy and SciPy, PyXLL, UDFs | Tagged , , , , , , , | 1 Comment