Seaborn_Bar_Chart_with_Annotations.py

# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# Seaborn Bar Chart with Annotations
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
import matplotlib.pyplot as plt
import seaborn as sns; 
sns.set(style="whitegrid", color_codes=True)
%matplotlib inline

plt.figure(figsize=(10,8))
ax = sns.barplot(x="[INSERT YOUR X_Variable]", y="[INSERT YOUR Y_Variable]", color = '#512e5f', data=[INSERT YOUR DATA])

totals = [] # create a list to collect the plt.patches data
for i in ax.patches:
    totals.append(i.get_height()) # find the values and append to list

total = sum(totals) # set individual bar lables using above list

# set individual bar lables using above list
for i in ax.patches:
    # -------------------------------------------------------------------------
    # get_x pulls left or right; get_height pushes up or down
    # -------------------------------------------------------------------------
    ax.text(i.get_x()+.08, i.get_height()+.00005, str(round((i.get_height()/total)*100, 2))+'%', fontsize=12, color='black')

plt.xlabel('[INSERT YOUR X_LABEL]')
plt.ylabel('[INSERT YOUR Y_LABEL]')
plt.title('[INSERT YOUR TITLE]')
plt.tight_layout()
plt.show();