How to prepare data from multiple locations and multiple sensors?

[Python0py]

Dear authors,

Thank you for your articles! I would like to ask the authors and other experts a question: if I have data from multiple locations and multiple sensors, how should I prepare the data? Do I need to modify the code?

For example, I have three sensors, 1, 2 and 3, located at places A, B, and C, respectively. They record data over different time periods (e.g., A: some date in 202n to some date in 202n, B: some date in 202n to some date in 202n, C: some date in 202n to some date in 202n). All three sensors record the same parameters; how should I organize these three sets of data?

If I place the three sets of data in the same column, there may be issues with time continuity or even cases where the time goes backward, such as:

• January 1, 2020: A data
  • ...
• December 31, 2020: A data
  • ...
• January 1, 2020: B data
  • ...
• June 31, 2020: B data
  • ...
• January 1, 2022: C data
  • ...
• April 20, 2022: C data

Is this acceptable? Will the code treats this as data from the same observation point, leading to issues with time continuity and chaotic changes?

Thank you!

Best regards!