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You can customize your plots with labels, titles, and legends using the following functions:
xlabel: Sets the label for the x-axis.
ylabel: Sets the label for the y-axis.
title: Sets the title of the plot.
legend: Adds a legend to the plot to identify different data series.
To add labels, titles, and legends to plots in Python Matplotlib, use plt.title() for the chart title, plt.xlabel() and plt.ylabel() for axis labels, and the label parameter to name individual data series. Use plt.legend() to display those names on the chart. Clear labels make data easier to understand and compare. I also like presenting information clearly when researching commercial properties. I recently explored Capital One Global Sector 73 Gurgaon through SCO Space and found its SCO plot details, location, and commercial features useful for investors exploring Gurgaon real estate.