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Tag Archives: SciPy
Listing Python modules and getting help docs from Excel
Python functions include detailed help documentation but to access this you need the full path to the function, including the names of all code modules and submodules. This post looks at how this information can be found using Excel with … Continue reading
Posted in Excel, Link to Python, Newton, NumPy and SciPy, PyXLL, UDFs
Tagged Excel, Function help, Getmembers, Numpy, Pkgutil, Python, PyXLL, SciPy
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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 Exceel, Intel MKL library, PyPardiso, PyXLL, SciPy, Sparse matrix solver, UDFs
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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 Excel, PyPardiso, Python, PyXLL, SciPy, sparse matrices, sparse solvers
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Making Finite Element Analysis go faster …
… with Numba and Scipy sparse matrix functions. As promised in the previous post in this series, I will be looking at speeding up the formation and solving of matrix functions for the analysis of structural frames, using Excel and … Continue reading
Posted in Arrays, Excel, Finite Element Analysis, Frame Analysis, Link to Python, NumPy and SciPy, PyXLL
Tagged Excel, Finite Element Analysis, Iterative solvers, Numba, Numpy, Python, PyXLL, SciPy, sparse matrices
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Using Python optional arguments from Excel with pyxll
Python functions allow optional arguments to be specified by allocating a default value to each optional argument. The pyxll add-in allows Python functions called from Excel to work in the same way, so any argument with a default value may … Continue reading
Posted in Excel, Link to Python, PyXLL, UDFs
Tagged default arguments, Excel, Python, PyXLL, SciPy, Scipy stats, UDFs
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