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Bugfix clusterplot didn't work with 3D data #67

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merged 3 commits into from
Aug 18, 2024
Merged

Bugfix clusterplot didn't work with 3D data #67

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1cafdc6
Bug fix: clusterplot didn't work with 3d images
haesleinhuepf Aug 18, 2024
963de7e
added example
haesleinhuepf Aug 18, 2024
f457f9a
bump version
haesleinhuepf Aug 18, 2024
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306 changes: 306 additions & 0 deletions docs/clusterplot.ipynb
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2 changes: 1 addition & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

setuptools.setup(
name="stackview",
version="0.8.1",
version="0.8.2",
author="Robert Haase",
author_email="robert.haase@uni-leipzig.de",
description="Interactive image stack viewing in jupyter notebooks",
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2 changes: 1 addition & 1 deletion stackview/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
__version__ = "0.8.1"
__version__ = "0.8.2"

from ._static_view import jupyter_displayable_output, insight
from ._utilities import merge_rgb
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5 changes: 4 additions & 1 deletion stackview/_clusterplot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,8 @@ def clusterplot(df, labels, column_x:str="x", column_y:str="y", column_selection
from ._scatterplot import scatterplot
import functools

labels = np.asarray(labels)

if column_selection in df.columns:
selection = df["selection"].tolist()

Expand Down Expand Up @@ -72,6 +74,7 @@ def update(selection, label_image, selected_image, widget):

return grid([[
image_display,
scatterplot
scatterplot,

]])

4 changes: 3 additions & 1 deletion stackview/_scatterplot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,7 +120,9 @@ def __init__(self, df, column_x, column_y, column_selection, figsize, selection_
manager = Gcf.get_active()
Gcf.figs.pop(manager.num, None)

self.selector = Selector(self.fig, self.ax, self.plotted_points, callback=self.set_selection)
self.selector = None
#self.selector = Selector(self.fig, self.ax, self.plotted_points, callback=self.set_selection)
self.update()

# show selection if defined
if column_selection in df.columns:
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