Reputation: 537
I have a set of grayscale images (2D numpy arrays) and want to display several of them simultaneously according to the state of a holoviews.MultiSelect widget but can't get the images to update when a selection is made in the MultiSelect widget. Here is a minimum working example:
pn.extension()
import numpy as np
import holoviews as hv
from holoviews import opts
hv.extension('bokeh')
# Make grayscale test images
images = []
xmax, ymax = 2560, 1600
for i in range(5):
# Gray background
image = np.ones(shape=(ymax, xmax), dtype=np.uint8) * 200
# Make each image unique with different position for a black square
# with interior white square
image[200*i:200*i + 400,200*i:200*i + 400] = 0
image[200*i+175:200*i+175 + 50,200*i+175:200*i+175 + 50] = 255
images.append(image)
# Make hv.Images objects
scale_factor = 8
bounds=(0, 0, xmax, ymax) # Coordinate system: (left, bottom, right, top)
img_0 = hv.Image(images[0], bounds=bounds)
img_1 = hv.Image(images[1], bounds=bounds)
options = [
opts.Image(cmap='gray',
aspect='equal',
frame_width=int(xmax/scale_factor),
frame_height=int(ymax/scale_factor),
)
]
img_0.opts(*options)
img_1.opts(*options)
# Set up selector object
image_selector = pn.widgets.MultiSelect(name="Choose image index",
options=[i for i in range(len(images))],
size=6,
width=120
)
# Define interactivity
@pn.depends(image_selector, watch=True)
def change_image_shown(image_selector):
index = image_selector[0]
img_0.data = images[index]
if index != len(images) - 1:
img_1.data = images[index + 1]
else:
img_1.data = images[index]
# Create panel layout
layout = pn.Row(image_selector, pn.Column(img_0, img_1))
layout
The initial panel layout is as expected, but when I select an index in MultiSelect, the images do not update. Checking the value of the MultiSelect object,
image_selector.value[0]
I get the selected index so the problem has to be in the decorated change_image_shown
function, but nothing I have tried works. What am I missing?
Upvotes: 1
Views: 1244
Reputation: 4080
So you seem to have misunderstood the model for updating HoloViews plots a little bit. HoloViews elements should not be modified inplace, instead you set up a callback that returns the updated plot given a set of dependencies. You then wrap that in a DynamicMap
which will dynamically rerender when an event is triggered.
import numpy as np
import holoviews as hv
from holoviews import opts
hv.extension('bokeh')
# Make grayscale test images
images = []
xmax, ymax = 2560, 1600
for i in range(5):
# Gray background
image = np.ones(shape=(ymax, xmax), dtype=np.uint8) * 200
# Make each image unique with different position for a black square
# with interior white square
image[200*i:200*i + 400,200*i:200*i + 400] = 0
image[200*i+175:200*i+175 + 50,200*i+175:200*i+175 + 50] = 255
images.append(image)
# Make hv.Images objects
scale_factor = 8
bounds=(0, 0, xmax, ymax) # Coordinate system: (left, bottom, right, top)
options = [
opts.Image(cmap='gray',
aspect='equal',
frame_width=int(xmax/scale_factor),
frame_height=int(ymax/scale_factor),
)
]
# Set up selector object
image_selector = pn.widgets.MultiSelect(
name="Choose image index",
options=[i for i in range(len(images))],
size=6,
width=120,
value=[0, 1]
)
# Define interactivity
@pn.depends(indexes=image_selector)
def img0(indexes):
index = indexes[0]
return hv.Image(images[index], bounds=bounds).opts(*options)
@pn.depends(indexes=image_selector)
def img1(indexes):
index = indexes[0]
if index != len(images) - 1:
data = images[index + 1]
else:
data = images[index]
return hv.Image(images[index], bounds=bounds).opts(*options)
# Create panel layout
layout = pn.Row(
image_selector,
pn.Column(
hv.DynamicMap(img0),
hv.DynamicMap(img1)
)
)
layout
Above is a rewrite of your code using the model. That said I'm still a bit confused about your callback. Why have a MultiSelect
widget if you only use the first selected value? Do you want simple Select
widget instead?
Upvotes: 2