NumPy with Matplotlib - Mini Project: Build & Apply

Visualizing Temperature Data with NumPy and Matplotlib

📖 Scenario: You are a weather analyst who wants to visualize temperature changes over a week. You have daily temperature data and want to create a simple line chart to see the trend.

🎯 Goal: Build a Python program that uses NumPy to store temperature data and Matplotlib to plot a line chart showing temperature changes over 7 days.

📋 What You'll Learn

Create a NumPy array with exact temperature values

Create a NumPy array for days of the week

Plot a line chart with days on the x-axis and temperatures on the y-axis

Label the x-axis as 'Day', y-axis as 'Temperature (°C)', and add a title 'Weekly Temperature'

Display the plot

💡 Why This Matters

🌍 Real World

Weather analysts and scientists often use NumPy and Matplotlib to analyze and visualize temperature and climate data.

💼 Career

Data scientists and analysts use these tools daily to create clear visual reports that help decision-makers understand trends.

1

Create temperature data using NumPy

Import numpy as np and create a NumPy array called temperatures with these exact values: 22, 24, 19, 23, 25, 20, 21.

NumPy

# Import numpy and create the temperatures array
# Your code here

Need a hint?

Use np.array([...]) to create the array with the given temperature values.

2

Create days array using NumPy

Create a NumPy array called days with these exact string values representing days of the week: 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'.

NumPy

import numpy as np

temperatures = np.array([22, 24, 19, 23, 25, 20, 21])

# Create the days array with the exact day names
# Your code here

Need a hint?

Use np.array([...]) with the exact day strings inside quotes.

3

Plot the temperature data using Matplotlib

Import matplotlib.pyplot as plt. Use plt.plot(days, temperatures) to create a line chart showing temperature changes over the days.

NumPy

import numpy as np

temperatures = np.array([22, 24, 19, 23, 25, 20, 21])
days = np.array(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])

# Plot the line chart with days on x-axis and temperatures on y-axis
# Your code here

Need a hint?

Use plt.plot() with days as x and temperatures as y.

4

Add labels, title, and display the plot

Add x-axis label 'Day' using plt.xlabel(), y-axis label 'Temperature (°C)' using plt.ylabel(), and title 'Weekly Temperature' using plt.title(). Then display the plot using plt.show().

NumPy

import numpy as np
import matplotlib.pyplot as plt

temperatures = np.array([22, 24, 19, 23, 25, 20, 21])
days = np.array(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])

plt.plot(days, temperatures)

# Add x-axis label, y-axis label, title, and show the plot
# Your code here

Need a hint?

Use plt.xlabel('Day'), plt.ylabel('Temperature (°C)'), plt.title('Weekly Temperature'), and plt.show().