Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file. (Should work on both python 2.7 and python 3)

Used for 3-axis magnetometer calibration.

If you want to fit an ellipse into arbitrary data take a look at issue #11 - I tried to explain how to maybe do it. Also look through other opened issues.

Project is a port of matlab/octave https://www.mathworks.com/matlabcentral/fileexchange/24693-ellipsoid-fit to python/numpy with some data regularization and fancy plotting on matplotlib added. It utilizes minimum squares method. Some code for plotting taken from https://github.com/minillinim/ellipsoid

Example input file is mag_out.txt and consists of rows with 3 numbers representing point coordinates.

Use plot_ellipsoid.py to see input data, fitted ellipsoid and data transferred onto sphere surface.

Use get_calibration_ellipsoid.py to generate magcal_ellipsoid.txt where first row has coordinates of fitted ellipsoid center, and other three rows are ellipsoid axes.

Requirements are:

• numpy
• matplotlib for plotting

Update: for close version to Matlab look here https://github.com/marksemple/pyEllipsoid_Fit

Update 2: Matplotlib from version 3 does not support equal axis, so spere plot may appear as not a sphere. If you still want a sphere remain a sphere on a plot, look into issue #10 (basically downgrade matplotlib and uncomment 3 lines at plot_ellipsoid.py).