Category Archives: Link to Python

Animations from VBA

A convenient way to create an animation in Excel is to create on-sheet formulas or user defined functions to generate the required data, then use VBA to iterate through the range of input values so that the chart or image … Continue reading

Posted in Animation, Excel, Link to Python, Maths, Newton, PyXLL, UDFs, VBA | Tagged , , , , , | Leave a comment

Using Matplotlib from Excel with pyxll

The pyxll documentation has many examples of plotting in Excel using Matplotlib and other packages, but I find the multiple options confusing and hard to follow, so this post works through the examples in the Matplotlib Users Guide tutorial. The … Continue reading

Posted in Charts, Charts, Drawing, Excel, Link to Python, PyXLL, UDFs | Tagged , , , , , , | Leave a comment

Installing PyPardiso

The PyPardiso package provides an interface to the Intel MKL Pardiso library to solve large sparse linear systems of equations. Trying to install this package with Conda raises the message: To search for alternate channels that may provide the conda package you’relooking … Continue reading

Posted in Excel, Finite Element Analysis, Frame Analysis, Link to Python, Newton, NumPy and SciPy, PyXLL, UDFs | Tagged , , , , , , | Leave a comment

Making Finite Element Analysis go faster – Update and PyPardiso

The previous post on this topic looked at the performance of alternative Scipy sparse equation solvers. This post updates those results with the current Scipy version (1.7.1), with very different results. It also compares the Scipy solver performance with the … Continue reading

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

Upgrade to Python 3.10?

Python 3.10 was released on October 4th, rapidly followed by a new release of pyxll (5.3.0), but the Anaconda site does not seem to have it yet, so is it time to upgrade or not. A search on that question … Continue reading

Posted in Excel, Link to Python, PyXLL | Tagged , , | Leave a comment