[FIXED] How can I create a bar chart in the image attached to the question?

Issue

I would like to create a subplot of bar chart where '% of total' is the y-axis and 'plants' is the x-axis. Also 'brand' will be legend, so in this case 3 different charts for the 3 different 'brands'. Each groups % adds up to 100%. I started with the code below, but got stuck. Please see a sample of the data below and image below;

import pandas as pd
import numpy as np
df = pd.DataFrame({
    'brand':['A','A', 'A', 'B','B', 'B' ,'C','C', 'C'],
    'plants':[0, 1, 2, 0,1,2,0,1,2],
    '% of total':[80, 12, 8, 67, 18, 5,35, 40,25],
    
    })

plt.figure(figsize=(10, 10))
for i, brand in enumerate(['A', 'B', 'C']):

Solution

You can use seaborn and catplot:

# Python env: pip install seaborn
# Anaconda env: conda install seaborn
import seaborn as sns
import matplotlib.pyplot as plt

sns.catplot(x='plants', y='% of total', col='brand', data=df, kind='bar')
plt.show()

Output:

Answered By - Corralien