Bokeh figure - changed font, activated tools and tickers

analyze_winscore.py

@@ -4,9 +4,8 @@ import csv
 import random
 import numpy as np
 from bokeh.plotting import figure
-from bokeh.models import LabelSet, LogScale
+from bokeh.models import LabelSet, LogScale, ColumnDataSource, tickers
 from bokeh.palettes import Turbo256  # A color palette with enough colors
-from bokeh.models import ColumnDataSource
 
 # Function to fit a polynomial curve and return the x and y values of the fitted curve
 def fit_curve(x, y, degree=1):
@@ -57,7 +56,7 @@ def get_ldb_records(name_map, csv_file_path):
     return ldb_records
 
 def create_scatter_plot_with_curve_with_variances_named(category, variance_across_categories, x, y, sizes, model_names, ldb_records):
-    FONTSIZE = 10
+    FONTSIZE = 12
     
     # Remove outliers
     x_filtered, y_filtered, x_outliers, y_outliers = remove_outliers(x, y)
@@ -129,7 +128,8 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
         sizing_mode="stretch_width",
         height=800,
         #title=f"{category} vs Model Size vs Variance Across Categories",
-        #tools="pan,wheel_zoom,box_zoom,reset,save",
+        tools="pan,wheel_zoom,box_zoom,save,reset",
+        active_scroll="wheel_zoom",
         tooltips=[
             ("Model", "@model_names"), 
             ("Model Size (B parameters)", "@sizes"), 
@@ -152,10 +152,10 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
 
     # Add labels (with slight offset to avoid overlap)
     p.add_layout(LabelSet(x='x', y='y', text='model_names', source=source_filtered, 
-                     x_offset=5, y_offset=8, text_font_size=f"{FONTSIZE-4}pt", text_color='black'))
+                     x_offset=5, y_offset=8, text_font_size=f"{FONTSIZE-2}pt", text_color='black'))
     
     p.add_layout(LabelSet(x='x', y='y', text='model_names', source=source_outliers, 
-                      x_offset=5, y_offset=8, text_font_size=f"{FONTSIZE-4}pt", text_color='black'))
+                      x_offset=5, y_offset=8, text_font_size=f"{FONTSIZE-2}pt", text_color='black'))
 
 
     # Set axis labels
@@ -178,7 +178,7 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
 
     p.x_scale = LogScale()
     
-    p.xaxis.ticker = [1,2,4,7,12,15]
+    p.xaxis.ticker = tickers.LogTicker()
     p.xaxis.axis_label_text_font_style = "normal"
     p.yaxis.axis_label_text_font_style = "normal"