Tuesday 8 October 2024

Pareto Chart using Python

 

import pandas as pd

import matplotlib.pyplot as plt


data = {'Category': ['A', 'B', 'C', 'D', 'E'],

        'Frequency': [50, 30, 15, 5, 2]}


df = pd.DataFrame(data)

df = df.sort_values('Frequency', ascending=False)

df['Cumulative %'] = df['Frequency'].cumsum() / df['Frequency'].sum() * 100


fig, ax1 = plt.subplots()

ax1.bar(df['Category'], df['Frequency'], color='C4')

ax1.set_ylabel('Frequency')


ax2 = ax1.twinx()

ax2.plot(df['Category'], df['Cumulative %'], 'C1D')

ax2.set_ylabel('Cumulative %')


plt.title('Pareto Chart')

plt.show()


#source code --> clcoding.com

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