Bokeh figure - minor changes in code appearance

analyze_winscore.py

@@ -1,5 +1,8 @@
 # -*- coding: utf-8 -*-
 
+# author: Martin Fajčík
+# modified by: Jan Doležal
+
 import csv
 import random
 import numpy as np
@@ -151,11 +154,27 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
     p.line(x_fit, y_fit, line_color='gray', line_width=2, line_dash='dashed')
 
     # 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-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-2}pt", text_color='black'))
+    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-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-2}pt",
+        text_color='black',
+    ))
 
 
     # Set axis labels
@@ -164,18 +183,12 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
 
     # Set axis label font sizes
     p.xaxis.axis_label_text_font_size = f"{FONTSIZE}pt"  # Set font size for x-axis label
-    p.yaxis.axis_label_text_font_size = f"{FONTSIZE}pt" # Set font size for y-axis label
-
+    p.yaxis.axis_label_text_font_size = f"{FONTSIZE}pt"  # Set font size for y-axis label
 
     # Increase tick label font sizes
     p.xaxis.major_label_text_font_size = f"{FONTSIZE}pt"  # Increase x-axis tick label size
     p.yaxis.major_label_text_font_size = f"{FONTSIZE}pt"  # Increase y-axis tick label size
 
-    #p.x_range.start = 1
-    #p.x_range.end = 18
-
-    #p.y_range.end = 60
-
     p.x_scale = LogScale()
     
     p.xaxis.ticker = tickers.LogTicker()