Time Series
Static

Line Graph

Line graphs are fundamental visualizations for displaying continuous data and trends over time. By connecting data points with lines, they effectively communicate the direction and rate of change in your data. Multiple lines can be used to compare trends across different categories, making line graphs ideal for stock prices, temperature changes, sales trends, and any time-series analysis.

Try this prompt

"Use matplotlib.pyplot to create a multi-line graph showing 'Temperature' trends for 3 different 'Cities' over a year. Use distinct colors and markers for each city. Generate a proper example dataset to demonstrate this visualization."
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Common Use Cases

  • 1Stock price tracking over time
  • 2Website traffic analysis
  • 3Temperature and weather trends
  • 4Sales performance comparison

Pro Tips

Use distinct colors and markers for multiple series

Consider adding a legend outside the plot area

Highlight important data points or events