Horizontal bar with label for each bar

barh.py

import pandas as pd
import numpy as np
# %matplotlib inline
import matplotlib.pyplot as plt
import matplotlib as mpl

#'https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx'
df = pd.read_excel('https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx',
                  sheet_name='Canada by Citizenship',
                  skiprows=range(20),
                  skipfooter=2)

df.drop(['Type', 'Coverage','AREA','REG', 'DEV'], axis=1, inplace=True)
df.rename(columns={'OdName': 'Country', 'AreaName': 'Continent','RegName': 'Region'}, inplace=True)
df['Total']=df.sum(axis=1)
df=df.set_index('Country')
mpl.style.use(['ggplot'])
years = list(map(int, range(1980, 2014)))

df_top10 = pd.DataFrame(df.nlargest(15,'Total')['Total'].sort_values(ascending=True))
ax=df_top10.plot.barh(legend=False, color='crimson', edgecolor='LightCoral')
plt.xlabel('Number of Imigrants', color='black')
plt.ylabel('Year', color='black')
plt.title('Top 15 Immigrant Countries to Canada from 1980-2013 ', color='black')
plt.xticks(color='black')
plt.yticks(color='black')
for i, total in enumerate(df_top10['Total']):
    ax.text(total + 1000, i, str(total), color='black', fontweight='bold', fontsize=6, ha='left', va='center')
plt.show()

output