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Fix dynamic reports with bokeh 3.4.0 problems #1068

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merged 2 commits into from
Apr 8, 2024
Merged

Fix dynamic reports with bokeh 3.4.0 problems #1068

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c11c073
fixed crash
handwerkerd Apr 1, 2024
75a7483
hopefully solved
handwerkerd Apr 4, 2024
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2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ classifiers = [
license = {file = "LICENSE"}
requires-python = ">=3.8"
dependencies = [
"bokeh",
"bokeh>=1.0.0,<=3.4.0",
"mapca>=0.0.4,<=0.0.5",
"matplotlib",
"nibabel>=2.5.1,<=5.2.1",
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37 changes: 24 additions & 13 deletions tedana/reporting/dynamic_figures.py
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Original file line number Diff line number Diff line change
Expand Up @@ -162,15 +162,20 @@ def _create_kr_plt(comptable_cds, kappa_elbow=None, rho_elbow=None):
("Tags", "@classtag"),
]
)

fig = plotting.figure(
width=400,
height=400,
tools=["tap,wheel_zoom,reset,pan,crosshair,save", kr_hovertool],
tools=[
"wheel_zoom,reset,pan,crosshair,save",
models.TapTool(mode="replace"),
kr_hovertool,
],
title="Kappa / Rho Plot",
)
diagonal = models.Slope(gradient=1, y_intercept=0, line_color="#D3D3D3")
fig.add_layout(diagonal)
fig.circle(
fig.scatter(
"kappa",
"rho",
size="size",
Expand Down Expand Up @@ -279,15 +284,15 @@ def _create_sorted_plt(
fig = plotting.figure(
width=400,
height=400,
tools=["tap,wheel_zoom,reset,pan,crosshair,save", hovertool],
tools=["wheel_zoom,reset,pan,crosshair,save", models.TapTool(mode="replace"), hovertool],
title=title,
)
fig.line(
x=np.arange(1, n_comps + 1),
y=comptable_cds.data[y_var].sort_values(ascending=False).values,
color="black",
)
fig.circle(x_var, y_var, source=comptable_cds, size=5, color="color", alpha=0.7)
fig.scatter(x_var, y_var, source=comptable_cds, size=5, color="color", alpha=0.7)
fig.xaxis.axis_label = x_label
fig.yaxis.axis_label = y_label
fig.x_range = models.Range1d(-1, n_comps + 1)
Expand Down Expand Up @@ -319,18 +324,22 @@ def _create_sorted_plt(


def _create_varexp_pie_plt(comptable_cds):
fig = plotting.figure(
width=400,
height=400,
title="Variance Explained View",
tools=["hover,tap,save"],

pie_hovertool = models.HoverTool(
tooltips=[
("Component ID", " @component"),
("Component ID", "@component"),
("Kappa", "@kappa{0.00}"),
("Rho", "@rho{0.00}"),
("Var. Exp.", "@varexp{0.00}%"),
("Var. Expl.", "@varexp{0.00}%"),
("Tags", "@classtag"),
],
]
)

fig = plotting.figure(
width=400,
height=400,
title="Variance Explained View",
tools=[pie_hovertool, models.TapTool(mode="replace"), "save"],
)
fig.wedge(
x=0,
Expand All @@ -347,7 +356,9 @@ def _create_varexp_pie_plt(comptable_cds):
fig.grid.visible = False
fig.toolbar.logo = None

circle = models.Circle(x=0, y=1, size=150, fill_color="white", line_color="white")
circle = models.Scatter(
x=0, y=1, size=150, marker="circle", fill_color="white", line_color="white"
)
fig.add_glyph(circle)

return fig
Expand Down