convert#

matplotlib_figure_to_numpy(fig, *[, dpi, ...])

Convert a Matplotlib figure to a 3D numpy array with RGBA channels.

matplotlib_figure_to_numpy#

fury.convert.matplotlib_figure_to_numpy(fig, *, dpi=100, fname=None, flip_up_down=True, transparent=False)[source]#

Convert a Matplotlib figure to a 3D numpy array with RGBA channels.

Parameters:

  • fig (obj) – A matplotlib figure object

  • dpi (int, optional) – Dots per inch

  • fname (str, optional) – If fname is given then the array will be saved as a png to this position.

  • flip_up_down (bool, optional) – The origin is different from matlplotlib default and VTK’s default behaviour (default True).

  • transparent (bool, optional) – Make background transparent (default False).

Returns:

arr – a numpy 3D array of RGBA values

Return type:

ndarray

Notes

The safest way to read the pixel values from the figure was to save them using savefig as a png and then read again the png. There is a cleaner way found here http://www.icare.univ-lille1.fr/drupal/node/1141 where you can actually use fig.canvas.tostring_argb() to get the values directly without saving to the disk. However, this was not stable across different machines and needed more investigation from what time permitted.