Percentiles with np.percentile() in NumPy - Mini Project: Build & Apply

Calculate Percentiles with np.percentile()

📖 Scenario: You work in a small bakery that tracks daily sales of different bread types. You want to understand how sales vary by calculating percentiles, which help you see the sales distribution.

🎯 Goal: Build a simple program that calculates the 25th, 50th, and 75th percentiles of daily bread sales using np.percentile().

📋 What You'll Learn

Create a numpy array with daily sales data

Set a list of percentiles to calculate

Use np.percentile() to find the percentile values

Print the percentile results clearly

💡 Why This Matters

🌍 Real World

Percentiles help businesses understand data spread, like how many sales fall below a certain value.

💼 Career

Data analysts and scientists use percentiles to summarize and explain data distributions clearly.

1

Create the sales data array

Create a numpy array called sales with these exact daily sales numbers: 20, 35, 30, 35, 27, 25, 40, 50, 29, 30.

NumPy

import numpy as np

# Create the sales array with the exact values
# Your code here

Need a hint?

Use np.array() and put the numbers inside square brackets.

2

Set the percentiles to calculate

Create a list called percentiles with these exact values: 25, 50, 75.

NumPy

import numpy as np

sales = np.array([20, 35, 30, 35, 27, 25, 40, 50, 29, 30])

# Create the percentiles list with 25, 50, and 75
# Your code here

Need a hint?

Use square brackets to create a list with the three numbers.

3

Calculate the percentile values

Use np.percentile() with the sales array and the percentiles list to create a variable called percentile_values that stores the results.

NumPy

import numpy as np

sales = np.array([20, 35, 30, 35, 27, 25, 40, 50, 29, 30])
percentiles = [25, 50, 75]

# Calculate percentile_values using np.percentile
# Your code here

Need a hint?

Call np.percentile() with the sales array and the percentiles list as arguments.

4

Print the percentile results

Print the percentile_values variable to display the 25th, 50th, and 75th percentiles of sales.

NumPy

import numpy as np

sales = np.array([20, 35, 30, 35, 27, 25, 40, 50, 29, 30])
percentiles = [25, 50, 75]
percentile_values = np.percentile(sales, percentiles)

# Print the percentile_values
# Your code here

Need a hint?

Use print() to show the percentile_values array.