Category Archives: NumPy and SciPy

Use Matplotlib from Excel with xlwings

Posted on 14/02/2016 by dougaj4

Xlwings is another free and open source package allowing communication between Excel and Python.  It now incorporates ExcelPython, and is included in the Anaconda Python package, so will support my ExcelPython based spreadsheets after installation of xlwings using: conda install … Continue reading →

Posted in Drawing, Excel, Link to Python, Maths, Newton, Numerical integration, NumPy and SciPy, VBA | Tagged , , , , , , | 9 Comments

Tanh-Sinh Quadrature via F2PY – Part 3

Posted on 06/02/2016 by dougaj4

For the last of the current series on combining Fortran, Python and Excel with F2PY and ExcelPython I have updated the xlSciPy spreadsheet to include two other variants of the Tanh-Sinh function: Quad_TSi integrates a non-periodic function over a semi-infinite … Continue reading →

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Tanh-Sinh Quadrature via F2PY – Part 2

Posted on 01/02/2016 by dougaj4

Lets look at some details of the coding. The original code (available here) includes routines “intdeini” to generate an array of points and weights of the quadrature formula, and “intde” to carry out the integration of any supplied function “f”. … Continue reading →

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Tanh-Sinh Quadrature via F2PY

Posted on 31/01/2016 by dougaj4

Fast and accurate numerical integration routines based on the Tanh-Sinh method are available as Excel VBA based functions in the Tanh_Sinh Quadrature spreadsheet by Graeme Dennes.  Graeme’s VBA code is based on open source Fortran code by Takuya Ooura, which … Continue reading →

Posted in Excel, Fortran, Link to Python, Maths, Newton, Numerical integration, NumPy and SciPy, UDFs, VBA | Tagged , , , , , , , , | Leave a comment

Running Fortran from Python with F2PY

Posted on 13/01/2016 by dougaj4

The last post looking at using the Python F2Py package said: It is also necessary to install a Fortran compiler.  After some trial and error I found that the MinGW (Minimalist GNU for Windows) package worked well. Trying some simple examples … Continue reading →

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