def plot_Happiness_Charitiable_Total(df, sort_by, xlabel, title, begin=0, end=50):
df = df.sort_values(sort_by, ascending=False).set_index('country')
df = df.iloc[begin:end]
cmap = plt.get_cmap('spring')
col_g = cmap(0.9) #'yellow'
col_h = cmap(0.35) #'pink'
top = 'Happiness Score'
bot = 'Charities Score'
withg20 = 'with dark color : G20 Member'
shadow = withStroke(linewidth=4, foreground='w')
x = df.index
df_tll = df[['norm_ttl']]
fig, ax = plt.subplots(figsize=(18, 6))
plt.bar(x, df['norm_ttl'], color='gray', alpha=.3, label='with Dark Color: G20 Member')
plt.bar(x, df['norm_ttl'], label = '', color= 'w', alpha=1, width = 0.8)
for g in g20:
if g in x:
plt.bar(g, df[df.index==g].norm_ttl, color='gray', alpha=0.4)
plt.bar(x, df['norm_h2'], label = top, color = col_h, alpha=.6, width = 0.8)
plt.bar(x, df['norm_g2'], label = bot, color = col_g, alpha=.6, width = 0.8,
bottom = df['norm_h2'])
avg_norm_ttl = df.norm_ttl.mean()
plt.axhline(avg_norm_ttl, color='lightskyblue', linestyle='--', label='Average')
plt.text(len(df) + 1, avg_norm_ttl,
f'Avg: {avg_norm_ttl:.2f}',
va='top', ha='right', color='b').set_path_effects([shadow])
x_position = len(df) / 2 * 1.1
x_adjust = x_position * 0.2
y_positoin = df['norm_ttl'].max()
y_adjust = y_positoin * 0.0
plt.text(x_position - x_adjust, y_positoin- y_adjust,
f'Avg Charities: {df.norm_g2.mean():.2f}',
va = 'bottom',
ha = 'right',
color = cmap(0.73),
fontsize = 12
).set_path_effects([shadow])
text_obj = plt.text(x_position + x_adjust, y_positoin-y_adjust,
f'Avg Happiness: {df.norm_h2.mean():.2f}',
va = 'bottom',
ha = 'right',
color = cmap(.3),
fontsize = 12
).set_path_effects([shadow])
plt.xlabel(xlabel, fontsize=14)
plt.ylabel('Total Score', fontsize=14)
plt.title(title, fontsize=20, pad=18)
handles, labels = plt.gca().get_legend_handles_labels()
order = [0, 1, 3, 2]
plt.legend([handles[idx] for idx in order],
[labels[idx] for idx in order],
shadow=True, fontsize=12,
loc='upper right')
fig.autofmt_xdate(rotation=45)
return plt.show()
