%matplotlib inline
from yt.mods import *
from yt.visualization.color_maps import yt_colormaps
from IPython.html.widgets import interact
from IPython.display import display

shape = [64,64,64]
ds = load_uniform_grid({'Density': np.random.random(shape)}, shape, 1.0)
ds.h

center = ds.domain_center
cam_L = np.ones(3, dtype='float')
cam_W = ds.domain_width
cam_R = 256
ds.field_info['Density'].take_log=False
tf = ColorTransferFunction((0,1), grey_opacity=False)
tf.map_to_colormap(0,1,scale=0.1, colormap='RdBu_r')
cam = ds.h.camera(center, cam_L, cam_W, cam_R, transfer_function=tf, north_vector=np.array([0,0,1.]), 
                  l_max=None, sub_samples=2, no_ghost=True, )

@interact(mi = (0,1,0.1), ma = (0,1,0.1), logalpha = (-2, 2, 0.1), logwidth=(-2,0,0.1), 
          cmap=yt_colormaps, auto_update=True, resolution=(128, 1024, 128))
def view(mi, ma, logalpha, cmap, auto_update, logwidth, resolution):
    cam.transfer_function.clear()
    cam.resolution=np.array([resolution]*2)
    cam.transfer_function.map_to_colormap(mi, ma, scale=10**logalpha, colormap=cmap)
    cam.switch_view(width=10**logwidth)
    if auto_update:
        cam.show()