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Analyze Time Series Data by Using Python in JupyterLab

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Part of Jupyter Data Visualization Topic: Data Science

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What you'll do

In this lab, you will analyze and visualize time series data by using Python in the JupyterLab development environment.

  1. Load the Python NumPy, Matplotlib, and pandas libraries
  2. Create a pandas Series object by using data stored in a comma-separated values (CSV) file
  3. Query the data in the Series object
  4. Create a plot to visualize time series data
  5. Plot multivariate time series data by using subplots
  6. Add a legend to a plot

Note: Once you begin the lab, you will not be able to pause, save, or exit and then return to your lab. Please ensure that you have set aside enough time to complete the lab before you start.

  • ⏱ About 30 minutes