Price Gouging Problem¶
You suspect your local grocery’s been price gouging the ground beef. You and some friends decide to track the price
of ground beef every day for 10 days. You’ve compiled the data into a Series called beef_prices, whose index
represents the day of each recording.
import numpy as np
import pandas as pd
generator = np.random.default_rng(123)
beef_prices = pd.Series(
data = np.round(generator.uniform(low=3, high=5, size=10), 2),
index = generator.choice(10, size=10, replace=False)
)
print(beef_prices)
# 4 4.36
# 8 3.11
# 2 3.44
# 0 3.37
# 6 3.35
# 9 4.62
# 3 4.85
# 5 3.55
# 1 4.64
# 7 4.78
# dtype: float64
For example, beef was priced 3.37 on the first day, 4.64 on the second day, etc.
Determine which day had the biggest price increase from the prior day.