mpl-smithchart

This project is forked from pySmithPlot.

It adds/fixes the following:

CI/CD to facillitate package maintenance
addresses matplotlib deprecation warnings
updates numpy to newer version
fixes legend plotting
adds some automated testing of features
adds version lock file to show known-good build

Below this line is the old README.

New Release of Version 0.2

After 2 years of getting dusty pySmithPlot now got some new features and bug fixes. Here is a short changelog:

Support for Python 3
improved grid generation algorithm
plot() now also handles also single numbers and purely real data
plot() can now interpolate lines between points or generate an equidistant spacing
changed handling of input data and renormalization; now the actual datatype (S,Z,Y-Parameter) can be specified when calling plot()
changed behaviour for normalization and placement of the label
added some parameter checks
removed default matplotlib settings
renamed some parameters to improve consistency
fixed issues with Unicode symbols
fixed issues with grid generation
fixed issues with axis label display and placement

There are still some plans for the future and they hopefully don't take another two years:

support for Admittance Charts
support for contour() plots
zoom and 'cut out' function
special handling of other matplotlib.patch objects like arrows
...

Features

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.

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:

circle shaped drawing area with labels placed around
plot() accepts real and complex numbers as well as numpy.ndarray's
lines can be automatically interpolated to improve the optical appearance
data ranges can be interpolated to an equidistant spacing
start/end markers of lines can be modified and rotate tangential
gridlines are 3-point arcs to improve space efficiency of exported plots
'fancy' option for adaptive grid generation
own tick locators for nice axis labels

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)

A short example can be found in the testbenches directory and started with: