Implementation of ImageStack #5751
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #5751 +/- ##
==========================================
- Coverage 88.35% 88.27% -0.08%
==========================================
Files 310 311 +1
Lines 63983 64340 +357
==========================================
+ Hits 56529 56798 +269
- Misses 7454 7542 +88
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philippjfr
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Nice to have:
|
import holoviews as hv
import xarray as xr
import numpy as np
import panel as pn
hv.extension("bokeh")
da = xr.DataArray(coords={"x": [1, 2, 3], "y": [6, 7, 8]}, dims=["x", "y"])
da_1 = da.copy()
da_1.name = "a"
da_1.values = [[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3]
da_2 = da.copy()
da_2.name = "b"
da_2.values = [[np.nan] * 3, [1, 1, np.nan], [np.nan] * 3]
da_3 = da.copy()
da_3.name = "c"
da_3.values = [[np.nan] * 3, [np.nan] * 3, [1, 1, 1]]
ds = xr.merge([da_1, da_2, da_3])
colors = ["red", "blue", "green"]
a = hv.ImageStack(ds).opts(
# colorbar=True,
cmap=colors,
num_colors=100,
title="original",
)
b = a.clone().opts(invert_axes=True, title="invert axes")
c = a.clone().opts(invert_yaxis=True, title="invert yaxis")
d = a.clone().opts(invert_xaxis=True, title="invert xaxis")
pn.GridBox(
pn.panel(a, linked_axes=False),
pn.panel(b, linked_axes=False),
pn.panel(c, linked_axes=False),
pn.panel(d, linked_axes=False),
ncols=2,
)
|
|
Does hover need support? |
Hover support is out of scope for this PR as it also needs work in Bokeh (or a new release). See bokeh/bokeh#13193, bokeh/bokeh#13200, and bokeh/bokeh#13354. |
|
|
mpl & plotly 
|
|
Weirdly using numpy array transposes the plot import holoviews as hv
import xarray as xr
import numpy as np
import panel as pn
hv.extension("bokeh")
x = np.arange(0, 3)
y = np.arange(5, 8)
a = np.array([[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3])
b = np.array([[np.nan] * 3, [1, 1, np.nan], [np.nan] * 3])
c = np.array([[np.nan] * 3, [np.nan] * 3, [1, 1, 1]])
ds = xr.Dataset(
{"a": (["x", "y"], a), "b": (["x", "y"], b), "c": (["x", "y"], c)},
coords={"x": x, "y": y},
)
colors = ["green", "red", "blue"]
(
hv.ImageStack(ds, kdims=["x", "y"], vdims=["a", "b", "c"]).opts(cmap=colors) +
hv.ImageStack((x, y, a, b, c), kdims=["x", "y"], vdims=["a", "b", "c"]).opts(cmap=colors)
)
|
|
Okay, I guess Image does the same, so maybe it's not an issue / separate issue import holoviews as hv
import xarray as xr
import numpy as np
import panel as pn
hv.extension("bokeh")
x = np.arange(0, 3)
y = np.arange(5, 8)
a = np.array([[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3])
b = np.array([[np.nan] * 3, [1, 1, np.nan], [np.nan] * 3])
c = np.array([[np.nan] * 3, [np.nan] * 3, [1, 1, 1]])
ds = xr.Dataset(
{"a": (["x", "y"], a), "b": (["x", "y"], b), "c": (["x", "y"], c)},
coords={"x": x, "y": y},
)
colors = ["green", "red", "blue"]
(
hv.ImageStack(ds, kdims=["x", "y"], vdims=["a", "b", "c"]).opts(cmap=colors) +
hv.ImageStack((x, y, a, b, c), kdims=["x", "y"], vdims=["a", "b", "c"]).opts(cmap=colors) +
hv.Image(ds["a"], kdims=["x", "y"], vdims=["a"]) +
hv.Image((x, y, a))
).cols(2) |
|
Yeah definitely an issue but a separate issue. |
ahuang11
reviewed
Aug 29, 2023
ahuang11
reviewed
Aug 29, 2023
|
I believe this is ready for initial review, but I don't understand the invert_x/yaxis tests because although the tests pass, the inverted data matches the original data and it renders as expected. |
ahuang11
changed the title
ahuang11
reviewed
Aug 29, 2023
philippjfr
reviewed
Aug 30, 2023
philippjfr
reviewed
Aug 30, 2023
|
Hmm this error seems a bit tricky: Traceback```python |
|
I don't quite understand the behavior of the ImageStack hover Alone, it's understandable import holoviews as hv
import xarray as xr
import numpy as np
import panel as pn
from holoviews.operation.datashader import rasterize
hv.extension("bokeh")
da = xr.DataArray(coords={"x": [1, 2, 3], "y": [6, 7, 8]}, dims=["x", "y"])
da_1 = da.copy()
da_1.name = "a"
da_1.values = [[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3]
ds = xr.merge([da_1]).fillna(0)
colors = ["red", "blue", "green"]
a = hv.ImageStack(ds).opts(
cmap=colors,
title="original",
).opts(tools=["hover"])
a
However, stacked on another image, it doesn't match expectations. import holoviews as hv
import xarray as xr
import numpy as np
import panel as pn
from holoviews.operation.datashader import rasterize
hv.extension("bokeh")
da = xr.DataArray(coords={"x": [1, 2, 3], "y": [6, 7, 8]}, dims=["x", "y"])
da_1 = da.copy()
da_1.name = "a"
da_1.values = [[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3]
da_2 = da.copy()
da_2.name = "b"
da_2.values = [[np.nan, np.nan, 1], [np.nan] * 3, [np.nan] * 3]
ds = xr.merge([da_1, da_2]).fillna(0)
colors = ["red", "blue", "green"]
a = hv.ImageStack(ds).opts(
cmap=colors,
title="original",
).opts(tools=["hover"])
aWhy does this show 0? |
|
It is a limitation in Bokeh. Try to read the issues I mentioned in my last post. |
Okay. To build upon that though, I don't think we can even get one layer though: e.g. I expect 1 instead of 0 here: So do we just keep x and y? |
yes |
|
Should I be worried about the core tests? Eh I just wrapped try/except. |
I would rather see something like this: holoviews/holoviews/tests/core/data/test_binneddatasets.py Lines 225 to 228 in d3f3458 |
hoxbro
commented
Sep 13, 2023
philippjfr
reviewed
Sep 13, 2023
philippjfr
approved these changes
Sep 13, 2023
There was a problem hiding this comment.
Apart from the minor comments left by @hoxbro and I this looks great.
hoxbro
commented
Sep 14, 2023
|
This pull request has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs. |
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WIP
Reference for me:
#4806
bokeh/bokeh#12356