My data:

names_col = ['Count','Freq']
dat = [['Matching', 56935],['Mismatching', 100587]]
plot_df = pd.DataFrame(data=dat,columns=names_col)

I trying plot stacked catplot with showing values , there is my code:

plt.figure(figsize=(16,9))
p=plot_df.set_index('Count').T.plot(kind='bar', stacked=True)
p.bar_label(p.containers[0])
p.bar_label(p.containers[1])
plt.show();

First of all, output of figure not in size (16,9), what wrong? And the second plot show value as:

instead value for matching - 56935 (here its ok), and mismatching - 100587, plot show total(157522). How I can access and show also to Mismatching value?

CodePudding user response：

You can set figsize as parameter of plot. Then for each of your containers, add the bar label and your own text:

p=plot_df.set_index('Count').T.plot(kind='bar', stacked=True, figsize=(16,9)) 
for x in p.containers:
    p.bar_label(x)
    p.text(0, x[0].get_y()   x[0].get_height()*0.5, x.datavalues[0], ha='center', color='w', weight='bold')

plt.show()

Output:

CodePudding user response：

• Use
  • Here's a more thorough example with multiple groups
    • The other answer does not place the middle annotations for the second group of bars.

  # test data 
  data = {'Matching': [56935, 17610], 'Mismatching': [100587, 13794], 'Test': [33139, 23567]}
  df = pd.DataFrame(data=data, index=['Freq', 'Freq2'])
  
  axe = df.plot(kind='bar', stacked=True, figsize=(16,9), rot=0)
  
  for x in axe.containers:
      axe.bar_label(x, label_type='edge', weight='bold')
      axe.bar_label(x, label_type='center', weight='bold', color='white')