eta_on_text_data-22.py

recommend_percentage=pd.DataFrame(((df.groupby('name')['reviews.doRecommend'].sum()*100)/df.groupby('name')['reviews.doRecommend'].count()).sort_values(ascending=True))

plt.figure(figsize=(16,8))
plt.xlabel('Recommend Percentage')
plt.ylabel('Products')
plt.title('Percentage of reviewers recommended a product')
recommend_graph=plt.barh(np.arange(len(recommend_percentage.index)),recommend_percentage['reviews.doRecommend'],color='green')

# Writing product names on bar
for bar,product in zip(recommend_graph,recommend_percentage.index):
  plt.text(0.5,bar.get_y()+0.4,'{}'.format(product),va='center',fontsize=11,color='white')

# Writing recommendation percentage on graph
for bar,percentage in zip(recommend_graph,recommend_percentage['reviews.doRecommend']):
  plt.text(bar.get_width()+0.5,bar.get_y()+0.4,'%.2f'%percentage,va='center',fontsize=11,color='black')

plt.yticks([])
plt.show()