Use Bokeh 3.x interface in tracking scripts

requirements_dev.txt

@@ -9,6 +9,6 @@ mkdocs-material>=4.6.3
 mkdocs-git-revision-date-localized-plugin >= 1.2
 mkdocs-glightbox >= 0.3.4
 pymdown-extensions>=6.3
-bokeh==2.4.0
+bokeh>=3.0.0,<4
 mkdocstrings==0.18.0
 Jinja2>=3.0

tracking/tracking_data.py

@@ -41,9 +41,14 @@
 import argparse
 import math
 from bokeh.plotting import figure
-from bokeh.models import ColumnDataSource, HoverTool, DatetimeTickFormatter
+from bokeh.models import (
+    ColumnDataSource,
+    HoverTool,
+    DatetimeTickFormatter,
+    Tabs,
+    TabPanel,
+)
 from bokeh.layouts import gridplot
-from bokeh.models.widgets import Panel, Tabs
 from bokeh.palettes import Category10
 from bokeh.resources import CDN
 from bokeh.embed import file_html
@@ -427,14 +432,12 @@ def plot_tracking_data(database):
             df["title"].to_numpy()
         )  # all scenarios this variable is tracked in
 
-        figur = figure(
-            title=variable, x_axis_type="datetime", plot_width=600, plot_height=600
-        )
+        figur = figure(title=variable, x_axis_type="datetime", width=600, height=600)
         figur.xaxis.formatter = DatetimeTickFormatter(
-            hours=["%d %B %Y"],
-            days=["%d %B %Y"],
-            months=["%d %B %Y"],
-            years=["%d %B %Y"],
+            hours="%d %B %Y",
+            days="%d %B %Y",
+            months="%d %B %Y",
+            years="%d %B %Y",
         )
         figur.xaxis.major_label_orientation = math.pi / 4
 
@@ -503,7 +506,7 @@ def plot_tracking_data(database):
         else:
             gplot = gridplot([figs[i : i + 2] for i in range(0, len(figs) - 1, 2)])
 
-        panels.append(Panel(child=gplot, title=parent_module_name))
+        panels.append(TabPanel(child=gplot, title=parent_module_name))
 
     tabs = Tabs(tabs=panels)