Introduction to Data Visualization with Matplotlib
When you want to make sense of numbers or patterns in your daily life, a chart or graph can help you see the story behind the data. matplotlib is the most widely used Python library for creating visualizations. With matplotlib, you can turn lists of numbers—like your weekly expenses or hours spent on activities—into clear, readable charts. This helps you quickly spot trends, compare values, or present information to others in a way that's easy to understand.
12345678import matplotlib.pyplot as plt # Weekly expenses in dollars days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"] expenses = [20, 15, 30, 25, 10, 40, 35] plt.bar(days, expenses) plt.show()
When you look at a chart, several components help you interpret the information. The labels tell you what each bar or point represents, such as days of the week. The title gives you a summary of what the chart is about, like Weekly Expenses. The axes (the horizontal and vertical lines) show the scale and categories, making it clear what values you are comparing. Adding these details makes your charts more informative and easier for others to read.
12345678910import matplotlib.pyplot as plt days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"] expenses = [20, 15, 30, 25, 10, 40, 35] plt.bar(days, expenses) plt.xlabel("Day of the Week") plt.ylabel("Amount Spent ($)") plt.title("Weekly Expenses") plt.show()
1. What is matplotlib used for in Python?
2. Which function displays a plot window in matplotlib?
3. Fill in the blanks to set the title of a matplotlib plot. Drag and drop the correct method to complete the code.
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When you want to make sense of numbers or patterns in your daily life, a chart or graph can help you see the story behind the data. matplotlib is the most widely used Python library for creating visualizations. With matplotlib, you can turn lists of numbers—like your weekly expenses or hours spent on activities—into clear, readable charts. This helps you quickly spot trends, compare values, or present information to others in a way that's easy to understand.
12345678import matplotlib.pyplot as plt # Weekly expenses in dollars days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"] expenses = [20, 15, 30, 25, 10, 40, 35] plt.bar(days, expenses) plt.show()
When you look at a chart, several components help you interpret the information. The labels tell you what each bar or point represents, such as days of the week. The title gives you a summary of what the chart is about, like Weekly Expenses. The axes (the horizontal and vertical lines) show the scale and categories, making it clear what values you are comparing. Adding these details makes your charts more informative and easier for others to read.
12345678910import matplotlib.pyplot as plt days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"] expenses = [20, 15, 30, 25, 10, 40, 35] plt.bar(days, expenses) plt.xlabel("Day of the Week") plt.ylabel("Amount Spent ($)") plt.title("Weekly Expenses") plt.show()
1. What is matplotlib used for in Python?
2. Which function displays a plot window in matplotlib?
3. Fill in the blanks to set the title of a matplotlib plot. Drag and drop the correct method to complete the code.
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