73 lines
3.9 KiB
Markdown
Executable file
73 lines
3.9 KiB
Markdown
Executable file
pySmithPlot
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===========
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## New Release of Version 0.2
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After 2 years of getting dusty **pySmithPlot** now got some new features and bug fixes. Here is a short changelog:
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- **Support for Python 3**
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- improved grid generation algorithm
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- plot() now also handles also single numbers and purely real data
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- plot() can now interpolate lines between points or generate an equidistant spacing
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- changed handling of input data and renormalization; now the actual datatype (S,Z,Y-Parameter) can be specified when calling plot()
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- changed behaviour for normalization and placement of the label
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- added some parameter checks
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- removed default `matplotlib` settings
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- renamed some parameters to improve consistency
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- fixed issues with Unicode symbols
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- fixed issues with grid generation
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- fixed issues with axis label display and placement
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There are still some plans for the future and they hopefully don't take another two years:
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- [ ] support for Admittance Charts
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- [ ] support for `contour()` plots
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- [ ] zoom and 'cut out' function
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- [ ] special handling of other `matplotlib.patch` objects like arrows
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- [ ] ...
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## Features
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**pySmithPlot** is a matplotlib extension providing a projection class for creating high quality Smith Charts with Python. The generated plots blend seamless into matplotlib's style and support almost the full range of customization options.
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This Library allows the fully automatic generation of Smith Charts with various customizable parameters and well selected default values. It also provides the following modifications and extensions:
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- circle shaped drawing area with labels placed around
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- plot() accepts real and complex numbers as well as numpy.ndarray's
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- lines can be automatically interpolated to improve the optical appearance
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- data ranges can be interpolated to an equidistant spacing
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- start/end markers of lines can be modified and rotate tangential
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- gridlines are 3-point arcs to improve space efficiency of exported plots
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- 'fancy' option for adaptive grid generation
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- own tick locators for nice axis labels
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For making a Smith Chart plot, it is sufficient to `import smithplot` and create a new subplot with projection set to 'smith'. (Requires matplotlib version 1.2)
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A short example can be found in the `testbenches` directory and started with:
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python3 smith_short_test.py
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For more details and documentation, take a look into `smithplot/smithaxes.py`.
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`testbenches/smith_full_test.py` runs various testbenches and gives a comparison for almost all parameters. These are the generated sample plots:
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[Grid Styles - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_grid_styles.pdf)
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[Fancy Threshold - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_fancy_grid.pdf)
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[Grid Locators - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_grid_locators.pdf)
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[Marker Modification - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_markers.pdf)
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[Interpolation - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_interpolation.pdf)
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[Normalize - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_normalize.pdf)
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[Miscellaneous - PDF](https://github.com/vMeijin/pySmithPlot/wiki/images/examples/sample_miscellaneous.pdf)
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