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Category Archives: UDFs
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
Installing PyPardiso
Update 5th June 2022: The PyPardiso package may now be installed simply with pip (see Installing PyPardiso and speed of Scipy spsolve): Install the MKL library: pip install mkl Install PyPardiso: pip install pypardiso The PyPardiso package provides an interface to … Continue reading
Posted in Excel, Finite Element Analysis, Frame Analysis, Link to Python, Newton, NumPy and SciPy, PyXLL, UDFs
Tagged Exceel, Intel MKL library, PyPardiso, PyXLL, SciPy, Sparse matrix solver, UDFs
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ConbeamU update
I recently discovered that the continuous beam function from the ConbeamU spreadsheet was giving incorrect results for cantilevers at the left hand end, if the cantilever had more than one segment and no point loads. The corrected version (Rel 4.16) … Continue reading
Posted in Beam Bending, Excel, Finite Element Analysis, Frame Analysis, Newton, Strand7, UDFs, VBA
Tagged ConBeamU, continuous beam analysis, Excel, Fixed End Moments, moving load, Restrained End Moments, Strand7, UDF, VBA
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More on Numba
Following my recent post Making Finite Element Analysis go faster … I have been having a closer look at the options in the Numba just-in-time compiler for improving the performance of Python code. The Numba docs include a series of short … Continue reading
Posted in Excel, Link to Python, NumPy and SciPy, PyXLL, UDFs
Tagged Excel, Faster python code, Numba, Numpy, Python, PyXLL, UDFs
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A Numpy trap – correction
In my post of 30th May this year (here) I said that: As a check that the functions were working correctly, the Python functions were modified to return the sum of the largest array in the first row, revealing that … Continue reading
Posted in Arrays, Excel, Link to Python, NumPy and SciPy, PyXLL, UDFs
Tagged arange data limit, int32, int64, Numpy, Numpy bug, Python
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