Metadata-Version: 2.4
Name: plot-antenna
Version: 2.4
Summary: Antenna plotting program for plotting antenna simulation results
Home-page: https://github.com/schlatterbeck/plot-antenna
Author: Ralf Schlatterbeck
Author-email: Ralf Schlatterbeck <rsc@runtux.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/schlatterbeck/plot-antenna
Project-URL: Bug Tracker, https://github.com/schlatterbeck/plot-antenna/issues
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Other Audience
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: plotly
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: kaleido; extra == "test"
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: platform
Dynamic: requires-python

Antenna Plotting Program
========================

:Author: Ralf Schlatterbeck <rsc@runtux.com>

.. |--| unicode:: U+2013   .. en dash
.. |__| unicode:: U+2013   .. en dash without spaces
    :trim:
.. |_| unicode:: U+00A0 .. Non-breaking space
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.. |-| unicode:: U+202F .. Thin non-breaking space
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This is a program to plot antenna-related data resulting from an antenna
simulation. It can read the text output produced by nec2c_, my
python mininec port pymininec_, output from the original Basic
implementations of Mininec_, ASAP_, and with a separate command-line
tool the output of 3D antenna pattern from EZNEC_.

Most notably it can plot antenna
far-field pattern in both 2D (Azimuth and Elevation) and 3D (as a 3D
graphic that can be rotated and zoomed). It supports a local display
program (using matplotlib_) and a HTML output version that displays
everything using javascript (using plotly_). The program features a
``--help`` option.

The program started out as a companion-program to my pymininec_
project and is now an independent program.

The plot program can also display output files of nec2c_, ASAP_, and
EZNEC_, not only from pymininec_.

Standalone Plotting with Matplotlib
-----------------------------------

The default is to plot all available
graphics, including an interactive 3d view. In addition with the
``--azimuth`` or ``--elevation`` options you can get an Azimuth
diagram::

    plot-antenna --azimuth test/12-el-1deg.pout

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/12-el-azimuth.png
    :align: center

or an elevation diagram::

    plot-antenna --elevation test/12-el-1deg.pout

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/12-el-elevation.png
    :align: center

respectively. Note that I used an output file with 1-degree resolution
in elevation and azimuth angles not with 5 degrees as in the example
above. The pattern look smoother but a 3D-view in matplotlib_ will be
very slow due to the large number of points. This problem does not occur
when using the plotly_ backend.

Sometimes we do not want the azimuth plot at the maximum elevation angle
or the elevation plot at the maximum azimuth angle. You can specify the
elevation angle for the azimuth plot with the ``--angle-elevation``
option and the azimuth angle for the elevation plot with
``--angle-azimuth``. An example azimuth plot of the same antenna at an
elevation angle of 15° can be plotted with::

    plot-antenna --azimuth --angle-elevation=15 test/12-el-1deg.pout

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/12-el-azi-angle-ele15.png
    :align: center

As you can see, the azimuth-plot is scaled to the maximum gain of the
antenna. Sometimes we want to scale the gain to the maximum *at that
elevation (or azimuth) angle*. This can be achieved with the
``--scale-by-angle`` option::

    plot-antenna --azi --angle-ele=15 --scale-by-angle test/12-el-1deg.pout

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/12-el-azi-angle-e15-sc.png
    :align: center

You can see that now the pattern is scaled to the maximum *at that
elevation angle*. The outer ring now has 12.92 dBi instead of 14.50 dBi.

The plot program also has a ``--help``
option for further information. In particular the scaling of the antenna
plot can be selected using the ``--scaling-method`` option with an
additional keyword which can be one of ``linear``, ``linear_db``, and
``linear_voltage`` in addition to the default of ``arrl`` scaling. You
may consult Cebik's [1]_ article for explanation of the different
diagrams. The ``linear_voltage`` option is not explained by Cebik, it is
in-between the ``linear`` and ``linear_db`` scaling options.

The latest version accepts several plot parameters, ``--elevation``,
``--azimuth``, ``--plot3d``, ``--plot-vswr``, and ``--geo`` which are
plotted into one diagram. The default is to plot the first four graphs.
With the ``--output`` option pictures can directly be saved without
displaying the graphics on the screen. Note that unfortunately the
geometry display with the ``--geo`` option does not perform very well
because matplotlib_ has poor support for panning and scaling in 3D
plots. It works fine with the plotly_ backend.

There are sub-options that change the behavior of the main option. For
the SWR plot, coloring of Ham-Radio bands and the display of the antenna
impedance can be turned on with ``--swr-show-bands`` and
``--swr-show-impedance``, respectively. An example may look like the
following:

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/pics/M.3.6.3.swr_band_range.png
    :align: center

The latest version has key-bindings for scrolling through the
frequencies of an antenna simulation. These keybindings only work for
the matplotlib_ backend.  If you have an output file with
a simulation of multiple frequencies you can display diagrams for the
next frequency by typing ``+``, and to the previous frequency by typing
``-``. For newer versions of matplotlib_ you can display a scrollbar for
the frequencies with the ``--with-slider`` option.

Other keybindings switch the scaling for the antenna plots, ``a``
switches to ``arrl`` scaling, ``l`` switches to linear scaling, ``d``
switches to linear dB scaling, and ``v`` switches to linear voltage
scaling.

Finally the ``w`` key toggles display of the 3d diagram from/to
wireframe display. Note that the wireframe display may not be supported
on all versions of matplotlib_ and/or graphics cards.

Plotting for the Browser with Plotly
------------------------------------

All the plot supported for matplotlib_ are also supported with plotly_.
These are ``--elevation``, ``--azimuth``, ``--plot3d``, ``--plot-vswr``,
and ``--geo``. The plots can be either exported to a .html file using
the ``-H`` or ``--export-html`` option (with an additional filename to
export to) or injected into a running browser using the ``-S`` or
``--show-in-browser`` option.

Unlike for matplotlib_, each plot selected with an option is either
shown in a separate window in the browser or exported to a separate
file. If exporting to a file, additional output options can be selected
with the ``--html-export-option`` setting. The default is to export the
file with all javascript included (adds about 3MB to the file size).
With ``--html-export-option=directory`` the javascript is not included
and a ``plotly.min.js`` file is expected in the same directory as the
exported file. This file ships with the plotly_ distribution. When
exporting to a file, the plot name is appended to the file name given,
this allows export to several different plots in one program invocation.

The scaling variants selected with the ``--scaling-method`` option
cannot currently be changed at runtime with the plotly_ plots. As with
matplotlib_, the default is ``arrl`` scaling.  When using scaling in dB,
the minimum dB value can be specified with the ``--scaling-mindb``
option.

Like with matplotlib_ there are sub-options that change the behavior of
the main option. For the SWR plot, coloring of Ham-Radio bands and the
display of the antenna impedance can be turned on with
``--swr-show-bands`` and ``--swr-show-impedance``, respectively

All plots are interactive. For the far-field pattern
plots (Azimuth, Elevation, 3D) frequencies can be selected in the legend
to the right of the plot. With mouse-over you can see the current angle
(Elevation or Azimuth with the 2D plots and both for the 3D plot) and
the gain at that point. For the 2D variants, more than one frequency can
be selected for plotting. This allows comparison of pattern between
different frequencies. For the 3D plot, the frequencies in the legend
act like radio-buttons, only one at a time can be selected.

With the ``--geo`` option you get a display of the antenna geometry.
Unfortunately plotly_ seems to have limitations on the zoom depths, so
for large antennas it is not possible to see the plot in deep detail. As
of this writing not all geometry details are displayed. In particular 2D
patches in NEC and transmission lines in NEC are not shown.

Input Sources
-------------

As already mentioned previously, plot-antenna_ can take input produced
by a couple of antenna simulation tools. Originally written for my
re-implementation of Mininec_, pymininec_, it can also use the output
from the original Mininec_ written in Basic, from nec2c_, and from
the Antenna Scatterers Analysis Program ASAP_. It automatically
detects in which format the input is and acts accordingly.

In addition there is a separate command-line tool, ``plot-eznec`` that
can be used to visualize the output from EZNEC_'s export function.

It has also been used for visualizing antenna measurement data. An
example from a contributed measurement is here:

.. figure:: https://raw.githubusercontent.com/schlatterbeck/plot-antenna/master/test/pics/M.3.6.3.measurement_full.png
    :align: center

Note that for the measurement-data the unit of the data is not in dBi
but (because it was measured and not calibrated to dBi) in dBm. The
measurements were separate for horizontal and vertical polarization.

The program for plotting the measurements is in
``plot_antenna/contrib.py``. It can serve as an example of how to plot
your own data with `plot-antenna`_. The eznec program in
``plot_antenna/eznec.py`` might even be better in this regard. See the
next section on documentation of the `plot-antenna`_ API.

Running the Tests
-----------------

For running the plotly tests, the ``kaleido`` python package needs to be
installed. For Debian Trixie and earlier version 0.2.1 is needed. This
is installed with pip as shown below, if you don't want to mess with the
``--break-system-packages`` option, installing everything into a virtual
environment is the way to go::

    python3 -m pip install kaleido==0.2.1 --break-system-packages

The tests use pictures saved in ``test/pics`` and will compare |--| depending
on matplotlib or plotly version |--| the picture matching the backend
version to the picture produced during the test. For this to work,
especially for plotly, the correct fonts need to be installed. Plotly
seems to prefer the Open Sans font family. So at least on Debian the
package ``fonts-open-sans`` needs to be installed. Otherwise the tests
fail because the pictures do not match. If a test fails a picture with
the extension ``.debug`` will be produced in the directory ``test/pics``.
If differences are not immediately visible, the ``compare`` program from
imagemagick may help.

Plot-Antenna API
----------------

The main class to plot things is the ``Gain_Plot`` class. It gets the
command-line arguments and the gain data to plot. Note that the class is
a little mis-named now because it can also do all the other plots (e.g.
standing wave ratio, SWR). The gain data passed to the constructor of
``Gain_Plot`` gets a dictionary of ``Gain_Data`` objects. The keys of
the dictionary are tuples ``(frequency, string)`` where the frequency is
the frequency of the ``Gain_Data`` and the string is used for describing
what is plotted. Since `plot-antenna`_ can have traces for the different
polarizations in the same plot, usually the string is one of ``H`` for
horizontal polarization, ``V`` for vertical polarization and ``sum`` for
the sum of all polarizations. Of course only the sum can be provided if
we do not want multiple polarizations.

If you are not plotting gain but, say, only SWR data, the gain data
object passed to the ``Gain_Plot`` constructor may be ``None``.

The ``Gain_Data`` object gets a list of frequencies in the constructor.
It has an internal ``pattern`` dictionary which stores the gain values
by a tuple of ``(theta, phi)`` where ``theta`` is the elevation angle
(measured from the zenith=0 degrees) and the azimuth angle phi measured
from the positive X-axis. The gain values in this data structure are in
dBi (Decibel over an isotropic radiator).

A simple program to construct an azimuth plot of an antenna that has the
same pattern in all directions (gain=0dB) would be::

    import numpy as np
    from plot_antenna import plot_antenna

    # Compute args, see below
    frequency = 430.0
    polarization = 'sum'
    key = (frequency, polarization)
    gdict = {key: plot_antenna.Gain_Data (key)}
    data = gdict [key].pattern
    for theta in np.arange (0, 181, 10):
        for phi in np.arange (0, 361, 10):
            data [(theta, phi)] = 0.0
    gp = plot_antenna.Gain_Plot (args, gdict)
    gp.compute ()
    gp.plot ()

In the latest version you can also directly pass numpy arrays for gain,
theta, and phi angles, angles are in degrees::

    import numpy as np
    from plot_antenna import plot_antenna

    # Compute args, see below
    frequency = 430.0
    polarization = 'sum'
    key = (frequency, polarization)
    thetas = np.arange (0, 181, 10)
    phis   = np.arange (0, 361, 10)
    gains  = np.zeros ((19, 37))
    gdict  = {key: plot_antenna.Gain_Data.from_gains (key, gains, thetas, phis)}
    gp = plot_antenna.Gain_Plot (args, gdict)
    gp.compute ()
    gp.plot ()

The parsed arguments can typically be constructed by calling one of the
argument parsing functions. These need not be given the real command
line arguments but can be called with an empty string list, e.g.::

    # Initialize command options with general options
    cmd = plot_antenna.options_general ()
    # Add gain options
    plot_antenna.options_gain (cmd)
    # Parse empty arguments resulting in default args
    args = plot_antenna.process_args (cmd, [])
    # The filename is needed internally for computing default title
    args.filename = ''
    # Title
    args.title = 'My Title'
    # We might want to ship result to running browser with plotly
    # args.show_in_browser = True
    # If we want to do a 3d-plot we set args.plot3d, we could also set
    # args.azimuth to get an azimuth plot. Both variables can be set and
    # we get both plots (one after the other with matplotlib, both in
    # different browser windows with plotly)
    args.azimuth = False
    args.plot3d  = True

The ``cmd`` variable is a python ``ArgumentParser`` object. So if you
are parsing command line arguments you can add your own options before
calling ``process_args``.

If not parsing argument from the command line and arguments should be
changed this can be done by directly modifying args, e.g.::

    args.title = 'This is the title of my plot'

A full but short implementation of a usage of this API can be found in
the companion program for reading EZNEC data in
``plot_antenna/eznec.py``. This example can be found in ``example.py``.


.. [1] L. B. Cebik. Radiation plots: Polar or rectangular; log or linear.
    In Antenna Modeling Notes [2], chapter 48, pages 366–379. Available
    in Cebik's `Antenna modelling notes episode 48`_ or `from web
    archive`_
.. [2] L. B. Cebik. Antenna Modeling Notes, volume 2. antenneX Online
    Magazine, 2003. Available `Cebik collection`_

Release Notes
-------------

v2.4: Bug-fixes, coordinate transformation

- Fix max theta gain computation: We need to take *both sides of phi*
  into account
- Allow to directly pass numpy arrays in API
- Coordinate transform for a contributed setup for a measurement device
- Update tests for debian trixie, in particular use better font defaults
  that are more likely to be the same on multiple architectures

v2.3: Fix nec geo computation

- Fix a bug when parsing NEC geo info, in particular back-references in
  geometry segments
- Update tests for recent changes, unfortunately the plotly PNG pics
  seem not to be reproduceable across different installations of the
  same plotly version

v2.2: Fix radial axis range of polar plots

- Polar plots were scaled differently depending on data, we now force
  the polar axis range to a maximum of 1.01 (on both, matplotlib and
  plotly backends) so that the trace(s) always fit without truncating
  the trace at the boundary

v2.1: Scale by angle

- New option ``--scale-by-angle`` that allows to scale the azimuth or
  elevation pattern to the maximum at the current elevation- or azimuth
  angle instead of the global maximum, thanks to Daniel Bruschinski for
  suggesting this
- Add a little documentation how to use the API, thanks to Alex, VE3NEA
  for suggesting this in a github issue.

v2.0: More input formats

- Import from EZNEC_ exported pattern data
- Import from the Antenna Scatterers Analysis Program ASAP_
- Import from ancient Mininec_ versions written in Basic
- Add a ``--maxgain`` option to normalize the gain of the outer ring
- Display polarization for plotly when the single polarization is not
  "sum".
- Title added for geo, 3d, and swr plots
- Add more tests
- Tests: Now use explicitly-stored pictures instead of only picture
  hashes: It is much easier if we can compare the produced picture to
  the expected picture.
- Numerous bug-fixes

v1.8: Allow plotting of measurement data

- Deal with sparse matrix for plot values
- Interpolation of measured values in Phi (Azimuth) direction
- Add STL output of 3d pattern with optional library
- Allow setting the dB-unit (e.g. dBm for measurements)
- Allow plotting by polarization
- Version computation changed to allow install from git url

Note: Smith chart with matplotlib currently needs my
`patched pySmithPlot`_ library. You can install this with::

 python -m pip install pysmithplot@git+https://github.com/schlatterbeck/pySmithPlot.git

v1.7: Add Smith charts, optionally show impedance and band in VSWR plots

Many of the changes in this and several previous versions were suggested
by Rob Banfield, DM1CM: Adding the bands and impedance to the VSWR plot
are his idea as well as adding a Smith chart. Due to his attention to
detail this release corrects a lot of rough edges of previous versions.
Thanks Rob!

- The aspect ratio in 3D plotly plots is now correct. It used to be a
  little too wide in the X direction
- Add Smith chart display
- Options to add the impedance (either as real/imag or \|Z\|/phi (Z)) in
  the VSWR plot
- Option to show the ham radio bands in the VSWR plot
- Show loads and excitation(s) in geo plot, add ground to geo plot
- Margin of 3D plots in plotly are much wider now by default and can be
  configured with an option
- The style how the gain is displayed in the plotly 3D color bar can now
  be configured to save space (either relative or absolute gain in dB or
  dBi, the default is both)
- When there is only one frequency in the 3D plot, remove the frequency
  legend
- Add LICENSE file and pyproject.toml for newer install mechanisms in
  python
- Add tests for plotly output
- Use ppm images for the tests, the previously-used png images did
  contain the matplotlib version and thus were different for each
  version |--| the ppm images do not have that problem, there are still
  many differences with different matplotlib versions

v1.6: More SWR plot changes

- Make SWR-plot vertical line colors configurable
- Rename elevation-angle and azimuth-angle options to angle-elevation
  and angle-azimuth so that we can again request an elevation/azimuth
  plot with shortened options like ``--ele`` or ``--azi``
- Sort options lexicographically on ``--help``

v1.5: Allow target SWR frequency in VSWR plot

- Add command-line option ``--target-swr-frequency``
- Draw user-specifed target frequency in red, best (minimum) swr in grey

v1.4: Reset button and VSWR-Plot improvements

- Add grid and minimum-SWR vertical line to VSWR plot
- Remove display of frequency in mouse-over (in polar plots and 3D plot)
- Make polar reset button reset more parameters

v1.3: Add a reset button to plotly polar plots

- The polar plots, when zoomed in, could only be reset to the unzoomed
  view with a double-click. All other plots do have a reset button, add
  one for the polar plots, too.

v1.2: Allow specification of title (legend) font size in plotly version

- For some application (e.g. when using the plotly graphics inside a
  html iframe) the title (or we may want to call it legend) of the
  graphics may collide with the graphics itself. We can now specify the
  font size with ``--title-font-size``. This option currently works only
  with plotly graphics.

v1.1: Specification of azimuth / elevation angle

- Now we can specify an azimuth angle for elevation plot and an
  elevation angle for azimuth plots.
- Bug-fix in computation of maximum gain azimuth direction: If the
  maximum gain in theta direction goes up or down, the azimuth angle
  would be computed incorrectly because all gain values at that theta
  angle are the same for all azimuth angles.
- Sort options: Since there are some options that only exist when some
  packages are installed we sort options instead of trying to add them
  in the correct order.

v1.0: Initial Release

.. _`patched pySmithPlot`: https://github.com/schlatterbeck/pySmithPlot
.. _`Cebik collection`:
    https://q82.uk/projects/cebik/modelling/W4RNL%20Antenna%20Modelling%20Notes%20Volume%202.pdf
.. _`from web archive`: https://web.archive.org/web/20230816222342/http://on5au.be/content/amod/amod48.html
.. _`Antenna modelling notes episode 48`:
    https://q82.uk/projects/cebik/modelling/48.%20Radiation%20Plots%20%20-%20Polar%20or%20Rectangular.%20Log%20or%20Linear.pdf
.. _nec2c: https://packages.debian.org/stable/hamradio/nec2c
.. _pymininec: https://github.com/schlatterbeck/pymininec
.. _matplotlib: https://matplotlib.org/
.. _plotly: https://github.com/plotly/plotly.py
.. _Mininec: https://github.com/Kees-PA3KJ/MiniNec
.. _ASAP: http://raylcross.net/asap/index.html
.. _EZNEC: https://eznec.com/
.. _plot-antenna: https://github.com/schlatterbeck/plot-antenna

