Update app.py

app.py

@@ -24,21 +24,23 @@ continents_excl_world = ['Asia', 'Oceania', 'Europe', 'Africa', 'North America',
 @pn.depends(year_slider.param.value, yaxis_co2.param.value)
 def get_co2_plot(year, yaxis):
     co2_pipeline = df[(df.year <= year) & (df.country.isin(continents))].groupby(['country', 'year'])[yaxis].mean().reset_index()
+    
+    # Renombrar la columna 'country' a 'continent'
     co2_pipeline = co2_pipeline.rename(columns={'country': 'continent'})
     
     plot = co2_pipeline.hvplot(
         x='year', 
-        by='continent', 
+        by='continent',  # Cambiado de 'country' a 'continent'
         y=yaxis, 
         line_width=2, 
         title="CO2 emission by continent", 
-        height=250,
-        width=400,
+        height=300,
+        width=500,
         legend='right',
         fontscale=0.8,
         padding=0.1,
         grid=True,
-        hover_cols=['continent', 'year', yaxis]
+        hover_cols=['continent', 'year', yaxis]  # Actualizado para usar 'continent'
     ).opts(
         legend_position='right',
         show_grid=True,
@@ -56,19 +58,19 @@ def get_co2_plot(year, yaxis):
 @pn.depends(year_slider.param.value, yaxis_co2.param.value)
 def get_co2_table(year, yaxis):
     co2_pipeline = df[(df.year <= year) & (df.country.isin(continents))].groupby(['country', 'year'])[yaxis].mean().reset_index()
-    return pn.widgets.Tabulator(co2_pipeline, pagination='remote', page_size=5, sizing_mode='stretch_width', height=150, margin=(0, 0, 0, 5))
+    return pn.widgets.Tabulator(co2_pipeline, pagination='remote', page_size=5, sizing_mode='stretch_width', height=150, margin=(0, 0, 0, 0))
 
 @pn.depends(year_slider.param.value)
 def get_co2_vs_gdp_scatterplot(year):
     scatterplot_pipeline = df[(df.year == year) & (~df.country.isin(continents))].groupby(['country', 'year', 'gdp_per_capita'])['co2'].mean().reset_index()
-    return scatterplot_pipeline.hvplot(x='gdp_per_capita', y='co2', by='country', size=30, kind="scatter", alpha=0.7, fontscale=0.7, legend=False, height=200, width=400)
+    return scatterplot_pipeline.hvplot(x='gdp_per_capita', y='co2', by='country', size=40, kind="scatter", alpha=0.7, fontscale=0.7, legend=False, height=200, width=450)
 
 @pn.depends(year_slider.param.value, yaxis_co2_source.param.value)
 def get_co2_source_bar_plot(year, yaxis):
     continent_abbr = {'Africa': 'AF', 'Asia': 'AS', 'Europe': 'EU', 'North America': 'NA', 'South America': 'SA', 'Oceania': 'OC', 'Antarctica': 'AN'}
     bar_pipeline = df[(df.year == year) & (df.country.isin(continents_excl_world))].groupby(['year', 'country'])[yaxis].sum().reset_index()
     bar_pipeline['country'] = bar_pipeline['country'].map(continent_abbr)
-    return bar_pipeline.hvplot(kind='bar', x='country', y=yaxis, title='CO2 source by continent', height=200, width=400, xlabel='Continent', fontscale=0.7, margin=(0, 0, 0, 5))
+    return bar_pipeline.hvplot(kind='bar', x='country', y=yaxis, title='CO2 source by continent', height=250, width=450, xlabel='Continent', fontscale=0.7, margin=(0, 0, 0, 0))
 
 template = pn.template.FastListTemplate(
     title='World CO2 Emission Dashboard',
@@ -103,3 +105,4 @@ pn.extension(sizing_mode="stretch_both")
 template.servable()
 
 
+