basic image widget without gridplot is functional, takes slider axes arguments

Basic

Can choose the dimension index that the slider should use is desired

Complex axes order arguments

By default it assumes that the "t" dimension is for the slider but any dimension can be used for the slider

If it is a single plot and not a gridplot, we can show a z-axis slider vertically. Maybe once #30 is done we can use the docked viewports to show sliders for individual subplots by creating widgets using pygfx objects.

basic functionality of simple and gridplots work!

Did some light testing, errors for basic user mistakes are caught correctly, tried different kwargs like this, need to test more thoroughly.

a = np.random.rand(100, 512, 512, 5)
b = np.random.rand(100, 512, 512, 5)
c = np.random.rand(100, 512, 512, 7)
d = np.random.rand(100, 512, 512, 7)

iw = ImageWidget([a, b, c, d], slider_axes=["t", "z"], axes_order="txyz", cmap="gnuplot2")
iw.show()

can now average across multiple dims in both single and gridplots

slice_avg is a property that can be modified at any time

averaging in single plots

averaging multiple dims in gridplot (can also average multiple dims in single plot)

just for fun, ImageWidget has:

66 if statements
11 elif
15 else
21 for loops
35 possible raise

for handling all the possible args 🙃