convert#
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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:
- figobj
A matplotlib figure object
- dpiint, optional
Dots per inch
- fnamestr, optional
If
fnameis given then the array will be saved as a png to this position.- flip_up_downbool, optional
The origin is different from matlplotlib default and VTK’s default behaviour (default True).
- transparentbool, optional
Make background transparent (default False).
- Returns:
- arrndarray
a numpy 3D array of RGBA values
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.