[FIXED] How to show max or value on bar chart top with pd.DataFrame?

Issue

I want to show the value of the bar chart on the top of the bar chart. I using DataFrame for that. This is my code:

import matplotlib.pyplot as plt
import pandas as pd
from decimal import Decimal
data = {
    'L': [86.0, 91.7, 92.3, 92.8],
    'D': [87.6, 90.5, 91.1, 91.1], 
    'K': [87.0, 91.5, 92.5, 92.0],
    'N': [84.0, 84.9, 91.7, 89.9],
    'S': [91.0, 87.0, 88.8, 91.0]   
   }
barWidth = 0.9
colours = {"L": "#837E7C", "D": "#98F99F", "K": "#FFE24A", "N": "#E8ADAA", "S": "#87C0FF" }
df = pd.DataFrame(data,columns=['L','D', 'K', 'N', 'S'], index=['a', 'b', 'c', 'd'],)
df.plot.barh(figsize=(4,8), color=colours, fontsize = 14)
plt.ylabel('Type', fontsize = 14)
plt.yticks(rotation=90, ha="center", rotation_mode='anchor')
plt.label('Result', fontsize = 14)
plt.show()

and out is:

[![enter image description here][1]][1]

But did not show value on top. How to do it, using my code.

Solution

Is the following what you want? You need a workaround to iterate your multibar chart. The first step is to define an ax object. The second step is to use a for loop to get the values of each bar.

import matplotlib.pyplot as plt
import pandas as pd
from decimal import Decimal
data = {
    'L': [86.0, 91.7, 92.3, 92.8],
    'D': [87.6, 90.5, 91.1, 91.1], 
    'K': [87.0, 91.5, 92.5, 92.0],
    'N': [84.0, 84.9, 91.7, 89.9],
    'S': [91.0, 87.0, 88.8, 91.0]   
   }
barWidth = 0.9
colours = {"L": "#837E7C", "D": "#98F99F", "K": "#FFE24A", "N": "#E8ADAA", "S": "#87C0FF" }
df = pd.DataFrame(data,columns=['L','D', 'K', 'N', 'S'], index=['a', 'b', 'c', 'd'])
ax = df.plot.barh(figsize=(4,8), color=colours, fontsize = 14)
for p in ax.patches:  
  ax.annotate(str(p.get_width()), (p.get_x() + p.get_width(), p.get_y()), xytext=(1, 2), textcoords='offset points')


plt.ylabel('Type', fontsize = 14)
plt.yticks(rotation=90, ha="center", rotation_mode='anchor')

plt.show()

Answered By - Ka-Wa Yip