Histogram computation with np.histogram() in NumPy - Mini Project: Build & Apply

Histogram computation with np.histogram()

📖 Scenario: You work in a small bakery that tracks the number of cookies sold each day. You want to understand how cookie sales are spread over a week to plan better.

🎯 Goal: Build a program that uses np.histogram() to find how many days fall into different sales ranges.

📋 What You'll Learn

Create a numpy array with daily cookie sales

Set up bins to group sales counts

Use np.histogram() to compute the histogram

Print the histogram counts

💡 Why This Matters

🌍 Real World

Histograms help businesses understand how data like sales or customer visits are spread across ranges.

💼 Career

Data scientists and analysts use histograms to summarize and visualize data distributions quickly.

1

Create the daily sales data

Create a numpy array called daily_sales with these exact values: 12, 15, 7, 10, 20, 25, 18.

NumPy

import numpy as np
# Create the numpy array daily_sales with values 12, 15, 7, 10, 20, 25, 18
# Your code here

Need a hint?

Use np.array() to create the array with the given numbers.

2

Set up bins for sales ranges

Create a list called bins with these exact values: 0, 10, 20, 30. These will group sales into ranges 0-10, 10-20, and 20-30.

NumPy

import numpy as np
daily_sales = np.array([12, 15, 7, 10, 20, 25, 18])
# Create the bins list with values 0, 10, 20, 30
# Your code here

Need a hint?

Bins are the edges that separate groups. Use a list with the given numbers.

3

Compute the histogram

Use np.histogram() with daily_sales and bins to compute the histogram. Save the counts in a variable called hist_counts and the bin edges in hist_bins.

NumPy

import numpy as np
daily_sales = np.array([12, 15, 7, 10, 20, 25, 18])
bins = [0, 10, 20, 30]
# Use np.histogram() to get hist_counts and hist_bins
# Your code here

Need a hint?

Call np.histogram() with the array and bins, and unpack the result into two variables.

4

Print the histogram counts

Print the variable hist_counts to show how many days fall into each sales range.

NumPy

import numpy as np
daily_sales = np.array([12, 15, 7, 10, 20, 25, 18])
bins = [0, 10, 20, 30]
hist_counts, hist_bins = np.histogram(daily_sales, bins=bins)
# Print hist_counts
# Your code here

Need a hint?

Use print(hist_counts) to display the counts.