Visualizing Earnings with matplotlib
Tracking your freelance earnings is essential for understanding your financial health and planning for the future. Visualizing this data helps you spot trends, identify seasonal patterns, and make informed decisions about your business. As a freelancer, clear and attractive charts can quickly communicate your progress to clients or accountants. The matplotlib library is a powerful tool in Python that allows you to create a wide range of visualizations, including line plots that are perfect for showing how your earnings change over time.
12345678910111213141516import matplotlib.pyplot as plt # Hardcoded data for monthly earnings months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"] earnings = [1200, 1500, 1700, 1600, 1800, 2100] # Create a line plot of earnings over months plt.plot(months, earnings) # Add labels and a title plt.xlabel("Month") plt.ylabel("Earnings ($)") plt.title("Freelance Earnings Over Time") # Display the plot plt.show()
When creating a plot with matplotlib, you work with several key elements. The axes are the horizontal and vertical lines that frame your data; they represent the variables being plotted, such as months and earnings. Labels on the axes help viewers understand what each axis represents, making your chart easier to interpret. The title provides context about what the plot shows. Customizing your plot's appearance—like changing line colors, adding markers, or adjusting gridlines—can improve clarity and make your visualizations more engaging and readable.
12345678910111213141516import matplotlib.pyplot as plt months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"] earnings = [1200, 1500, 1700, 1600, 1800, 2100] # Create a line plot with markers and gridlines plt.plot(months, earnings, marker="o", linestyle="-", color="green") plt.xlabel("Month") plt.ylabel("Earnings ($)") plt.title("Freelance Earnings Over Time") # Add gridlines for better readability plt.grid(True) plt.show()
1. What type of plot is best for showing earnings over time?
2. Which matplotlib function is used to display a plot?
3. Why is it important to label axes and add a title to your plots?
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Can you explain how to customize the appearance of the plot further?
What do the different parameters like marker, linestyle, and color do?
How can I add more data points or change the months shown in the plot?
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Tracking your freelance earnings is essential for understanding your financial health and planning for the future. Visualizing this data helps you spot trends, identify seasonal patterns, and make informed decisions about your business. As a freelancer, clear and attractive charts can quickly communicate your progress to clients or accountants. The matplotlib library is a powerful tool in Python that allows you to create a wide range of visualizations, including line plots that are perfect for showing how your earnings change over time.
12345678910111213141516import matplotlib.pyplot as plt # Hardcoded data for monthly earnings months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"] earnings = [1200, 1500, 1700, 1600, 1800, 2100] # Create a line plot of earnings over months plt.plot(months, earnings) # Add labels and a title plt.xlabel("Month") plt.ylabel("Earnings ($)") plt.title("Freelance Earnings Over Time") # Display the plot plt.show()
When creating a plot with matplotlib, you work with several key elements. The axes are the horizontal and vertical lines that frame your data; they represent the variables being plotted, such as months and earnings. Labels on the axes help viewers understand what each axis represents, making your chart easier to interpret. The title provides context about what the plot shows. Customizing your plot's appearance—like changing line colors, adding markers, or adjusting gridlines—can improve clarity and make your visualizations more engaging and readable.
12345678910111213141516import matplotlib.pyplot as plt months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"] earnings = [1200, 1500, 1700, 1600, 1800, 2100] # Create a line plot with markers and gridlines plt.plot(months, earnings, marker="o", linestyle="-", color="green") plt.xlabel("Month") plt.ylabel("Earnings ($)") plt.title("Freelance Earnings Over Time") # Add gridlines for better readability plt.grid(True) plt.show()
1. What type of plot is best for showing earnings over time?
2. Which matplotlib function is used to display a plot?
3. Why is it important to label axes and add a title to your plots?
Obrigado pelo seu feedback!
