Bug in the projectedRGB()

[aninramesh]

When utilizing the proj='Orthographic' projection, the 'scale' argument cannot be used.

plt_.projectedRGB(proj='Orthographic', normFactor =300, scale=0.5)

---------------------------------------------------------------------------
{
	"name": "TypeError",
	"message": "'float' object is not subscriptable",
	"stack": "---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 1
----> 1 plt_.projectedRGB(proj='Orthographic', normFactor =300, scale=0.5)

File ~/git/nasa-pace-data-reader/Examples/nasa_pace_data_reader/plot.py:679, in Plot.projectedRGB(self, rgb, scale, ax, fig, var, viewAngleIdx, normFactor, proj, saveFig, noShow, rivers, lakes, rgb_dolp, figsize, savePath, dpi, setTitle, returnRGB, lon_0, lat_0, black_background, proj_size, returnTransitionFlag, **kwargs)
    677 # if RGB does not exist, run the plotRGB method
    678 if rgb is None:
--> 679     self.plotRGB(var=var, viewAngleIdx=viewAngleIdx, scale=scale, normFactor=normFactor, returnRGB=True, plot=False, rgb_dolp=rgb_dolp,
    680                        **kwargs)
    682 # Check the shape of the RGB data
    683 assert self.rgb.shape[2] == 3, 'Invalid RGB data'

File ~/git/nasa-pace-data-reader/Examples/nasa_pace_data_reader/plot.py:462, in Plot.plotRGB(self, var, viewAngleIdx, scale, normFactor, returnRGB, plot, rgb_dolp, saveFig, **kwargs)
    460     else:
    461         for i in range(3):
--> 462             rgb[:, :, i] = rgb[:, :, i]/normFactor*scale[i]
    463 # copy the rgb to a new variable
    464 
    465 # Plot the RGB image
    466 if plot:

TypeError: 'float' object is not subscriptable"
}

[aninramesh]

This issue has been resolved in the commit 35be1f0b56df600c640fa7335647c6f48e0b4bf1. The bug has been resolved in the Python package and updated to version v0.0.4.7. Previously, there was a restriction requiring normFactor and scale to be integers, which has now been adjusted to allow for float values as well.