Adjust image

generations.py

@@ -38,11 +38,11 @@ scope = 21
 df = df.tail(scope)
 
 # Create a horizontal barplot of year against cumulative_co2
-ax = df.plot.barh(x='year', y='share_gen', color = 'gray')
+ax = df.plot.barh(x='year', y='share_gen', color = 'silver', width=0.8, linestyle = "")
 
 # Add rasters to the plot
-ax.grid(axis='x', linestyle='--', alpha=0.5)
-ax.grid(axis='y', linestyle='--', alpha=0.5)
+ax.grid(axis='x', linestyle='-', alpha=0.5, color = 'white', zorder=1)
+ax.grid(axis='y', linestyle='-', alpha=0.5, color = 'white',  zorder=1)
 
 # Add names to axes
 ax.set_ylabel('year of birth')
@@ -63,12 +63,12 @@ year_born = 1987
 # Rounding off to five year
 diff_year = 5 * round((df['year'].iloc[-1]-year_born)/5)
 generation=-(int((diff_year/5)+1))
-props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
+props = dict(boxstyle='round', facecolor='lightgreen', alpha=0.5)
 ax.text(0.63, 0.97, "If you were born in %s,\n%s%% of the total amount \nof CO2 that has been \nemitted since 1750, has \nbeen emitted in your \nlifetime." % (df['year'].iloc[generation], int(df['share_gen'].iloc[generation])), transform=ax.transAxes, fontsize=10,
         verticalalignment='top', bbox=props)
 
-ax.patches[generation].set_facecolor('#aa3333')
-plt.vlines(x = df['share_gen'].iloc[generation], ymin = -1, ymax = scope+generation, color='#aa3333')
+ax.patches[generation].set_facecolor('lightcoral')
+plt.vlines(x = df['share_gen'].iloc[generation], ymin = -1, ymax = scope+generation, color='lightcoral')
 
 plt.annotate('https://codeberg.org/mishathings/share_CO2_generation', (0,0), (-55,-30), fontsize=6, 
              xycoords='axes fraction', textcoords='offset points', va='top')