Merge pull request #1643 from bhilbert4/fix-all-bokeh-circle-figs

Add radius keyword to bokeh.figure.circle calls

jwql/edb/engineering_database.py

@@ -799,7 +799,7 @@ def bokeh_plot_text_data(self, show_plot=False):
             dates = abscissa[index].astype(np.datetime64)
             y_values = list(np.ones(len(index), dtype=int) * i)
             p1.line(dates, y_values, line_width=1, line_color='blue', line_dash='dashed')
-            p1.circle(dates, y_values, color='blue')
+            p1.circle(dates, y_values, color='blue', radius=5, radius_dimension='y', radius_units='screen')
 
         p1.yaxis.ticker = list(override_dict.keys())
         p1.yaxis.major_label_overrides = override_dict

jwql/instrument_monitors/common_monitors/dark_monitor.py

@@ -656,7 +656,8 @@ def overplot_bad_pix(self, pix_type, coords, values):
 
         # Overplot the bad pixel locations
         badpixplots[pix_type] = self.plot.circle(x=f'pixels_x', y=f'pixels_y',
-                                                 source=sources[pix_type], color=colors[pix_type])
+                                                 source=sources[pix_type], color=colors[pix_type], radius=0.5,
+                                                 radius_dimension='y', radius_units='data')
 
         # Add to the legend
         if numpix > 0:

jwql/instrument_monitors/common_monitors/edb_telemetry_monitor.py

@@ -2097,7 +2097,8 @@ def plot_every_change_data(data, mnem_name, units, show_plot=False, savefig=True
             source = ColumnDataSource(data={'x': val_times, 'y': val_data, 'dep': dependency_val})
 
             ldata = fig.line(x='x', y='y', line_width=1, line_color=Turbo256[color], source=source, legend_label=key)
-            cdata = fig.circle(x='x', y='y', fill_color=Turbo256[color], size=8, source=source, legend_label=key)
+            cdata = fig.circle(x='x', y='y', fill_color=Turbo256[color], source=source, legend_label=key, radius=4,
+                               radius_dimension='y', radius_units='screen')
 
             hover_tool = HoverTool(tooltips=[('Value', '@dep'),
                                              ('Data', '@y{1.11111}'),

jwql/website/apps/jwql/bokeh_containers.py

@@ -278,7 +278,7 @@ def generic_telemetry_plot(times, values, name, nominal_value=None, yellow_limit
 
     fig = figure(width=400, height=400, x_axis_label='Date', y_axis_label='Voltage',
                  x_axis_type='datetime')
-    fig.circle(times, values, size=4, color='navy', alpha=0.5)
+    fig.circle(times, values, color='navy', alpha=0.5, radius=2, radius_dimension='y', radius_units='screen')
 
     if nominal_value is not None:
         fig.line(times, np.repeat(nominal_value, len(times)), line_dash='dashed')

jwql/website/apps/jwql/bokeh_dashboard.py

@@ -225,9 +225,9 @@ def dashboard_disk_usage(self):
                                               y_axis_label='Disk Space (TB)')
 
             plots[data['shortname']].line(x='date', y='available', source=source, legend_label='Available', line_dash='dashed', line_color='#C85108', line_width=3)
-            plots[data['shortname']].circle(x='date', y='available', source=source,color='#C85108', size=10)
+            plots[data['shortname']].circle(x='date', y='available', source=source,color='#C85108', radius=5, radius_dimension='y', radius_units='screen')
             plots[data['shortname']].line(x='date', y='used', source=source, legend_label='Used', line_dash='dashed', line_color='#355C7D', line_width=3)
-            plots[data['shortname']].circle(x='date', y='used', source=source, color='#355C7D', size=10)
+            plots[data['shortname']].circle(x='date', y='used', source=source, color='#355C7D', radius=5, radius_dimension='y', radius_units='screen')
 
             plots[data['shortname']].xaxis.formatter = DatetimeTickFormatter(hours="%H:%M %d %B %Y",
                                                                              days="%d %B %Y",
@@ -289,7 +289,7 @@ def dashboard_central_store_data_volume(self):
                 # Plot the results
                 source = ColumnDataSource(results)
                 plot.line(x='date', y='used', source=source, line_color=color, line_dash='dashed', legend_label=area, line_width=3)
-                plot.circle(x='date', y='used', source=source, color=color, size=10)
+                plot.circle(x='date', y='used', source=source, color=color, radius=5, radius_dimension='y', radius_units='screen')
 
                 hover_tool = HoverTool(tooltips=[('Used:', f'@used TB'),
                                                  ('Date:', '@date{%d %b %Y}')
@@ -331,7 +331,7 @@ def dashboard_central_store_data_volume(self):
             # Plot the results
             legend_str = 'File volume'
             cen_store_plot.line(x='date', y='used', source=cen_store_source, legend_label=legend_str, line_dash='dashed', line_color='#355C7D', line_width=3)
-            cen_store_plot.circle(x='date', y='used', source=cen_store_source, color='#355C7D', size=10)
+            cen_store_plot.circle(x='date', y='used', source=cen_store_source, color='#355C7D', radius=5, radius_dimension='y', radius_units='screen')
             cen_store_plot.xaxis.formatter = DatetimeTickFormatter(hours="%H:%M %d %B %Y",
                                                                    days="%d %B %Y",
                                                                    months="%d %B %Y",