Upload dashboard.py

dashboard.py

@@ -148,16 +148,28 @@ grouping_filtered = pd.read_csv(os.path.join(data_folder, 'dna_relations.tsv'),
 
 
 ################################# CREATE CHARTS ############################
+################################# CREATE CHARTS ############################
+
+# Hook function to customize x-axis for Bokeh
+def customize_x_axis_bokeh(plot, element):
+    bokeh_plot = plot.state
+    bokeh_plot.xaxis.major_label_orientation = 45  # Rotate x-axis labels
+
 def create_publication_curve_chart():
+    country_name_df = pd.read_csv(os.path.join(data_folder, 'country_name_map.tsv'),  header=0, sep='\t', lineterminator='\n', low_memory=False)
+    country_name_map = dict(zip(country_name_df.Country_Code, country_name_df.Country_Name))
+    country_name_map
+    total_publications_time_indexed = pd.read_csv(os.path.join(data_folder, 'total_publications_time_indexed.tsv'),  header=0, sep='\t', lineterminator='\n', low_memory=False)
+    country_publications_time_indexed = pd.read_csv(os.path.join(data_folder, 'country_publications_time_indexed.tsv'),  header=0, sep='\t', lineterminator='\n', low_memory=False)
     total_publications_time_indexed.id = np.log1p(total_publications_time_indexed.id)
-    country_publications_time_indexed_normalized = country_publications_time_indexed.applymap(lambda x: np.log1p(x) if np.issubdtype(type(x), np.number) else x)
-    curve_total = hv.Curve((total_publications_time_indexed.index, total_publications_time_indexed.id), 'Time', 'Publication Counts (log)', label='Total')
+    country_publications_time_indexed = country_publications_time_indexed.applymap(lambda x: np.log1p(x) if np.issubdtype(type(x), np.number) else x)
+    curve_total = hv.Curve((total_publications_time_indexed.month_bin, total_publications_time_indexed.id), 'Time', 'Publication Counts (log)',label='Total')
     #Overlay the line plots
     overlay = curve_total
     curve_countries = []
     for country in country_name_map.keys():
-       overlay = overlay * hv.Curve((country_publications_time_indexed_normalized.index, country_publications_time_indexed_normalized[country]), label=country_name_map[country])
-    overlay.opts(show_legend=True,legend_position='right', width=1400, height=600 )
+       overlay = overlay * hv.Curve((total_publications_time_indexed.month_bin, country_publications_time_indexed[country]), label=country_name_map[country])
+    overlay.opts(show_legend=True,legend_position='right', width=1200, height=600, hooks=[customize_x_axis_bokeh])
     return overlay