Calculate Month-over-Month Growth with pct_change() in Pandas

Question

Given monthly revenue records, calculate Month-over-Month (MoM) revenue percentage change `mom_growth_pct` rounded to 2 decimal places.

Accepted Answer

Optimal Solution:
import pandas as pd

df = df.sort_values('month')

# Calculate percentage growth and convert to readable percentage
df['mom_growth_pct'] = (df['revenue'].pct_change() * 100).round(2)

result_df = df

Technical Explanation:
`.pct_change()` computes `(current - previous) / previous` in a vectorized pass, leaving the first row as `NaN`.