![s parameter smith chart s parameter smith chart](https://www.3ds.com/uploads/pics/quarter-wave-transformer-chart-fig5.gif)
In the other plots, a similar notation is used to select the various s-parameter quantities. We can plot just s11 on the smith chart by setting zero-indexed indices m=0 and n=0 to select it. Otherwise, the polar plot will show up on rectangular axes when this axis handle ( ax3) is passed into the plot function. For the polar plot, the subplot axis handle needs to be created with projection='polar'. The axes handles ax1- ax4 are passed into the plot functions so that we can place the plot appropriately in the plot grid. We generate four subplots corresponding to each s-parameter quantity that needs to be plotted. Various plot types available in scikit-rf plot_s_complex ( m = 1, n = 1, ax = ax4, title = 'S22 complex plane' ) fig. plot_s_polar ( m = 0, n = 1, ax = ax3, title = 'S12 in polar' ) nw. plot_s_smith ( m = 0, n = 0, r = 1, chart_type = 'z', ax = ax1, show_legend = True, draw_labels = True, draw_vswr = True ) nw. add_subplot ( 223, projection = 'polar' ) ax4 = fig.
![s parameter smith chart s parameter smith chart](https://www.researchgate.net/profile/Vassil-Palankovski/publication/3997039/figure/fig4/AS:670549911019550@1536882965684/S-parameters-measurements-dashed-in-a-combined-Smith-chart-at-J-C-210-3-A-cm-2.jpg)
Import matplotlib.pyplot as plt fig = plt. We will use our network object nw created from the touchstone file ntwk1.s2p available as part of the scikit-rf install, that we created earlier as part of this series. The smith chart is central to RF engineering and is the first plot we will address. We will assume a basic familiarity with plotting functions using the matplotlib module which you can learn more about here, if you are unfamiliar. The Network() class has methods that are convenient to use for plotting in rectangular, complex, polar and smith projections. We will limit ourselves to scikit-rf’s built-in plot functions which uses matplotlib under the hood. Plotting tools in python are very powerful and most of them take numpy array data or pandas dataframes as input data structures.
S parameter smith chart how to#
Since we have seen how to create and manipulate network data using scikit-rf, visualizing the data is the next logical step. In the fifth post of this series, we will learn how to generate commonly used plots in rf engineering using built-in plot methods in the scikit-rf package.įor your reference, here is a list of articles in this series.