Following up on my previous posts about adding humidity and temperature data generation to Data Diluvium, I’m now adding a Time Range generator. I decided this would be a nice addition to give any graphing of the data a good look. This will complete the trio of generators I needed for my TimeScale DB setup. While humidity and temperature provide the environmental data, the Time Range generator ensures we have properly spaced time points for our time-series analysis.

Why Time Range Generation?

When working with TimeScale DB for time-series data, having evenly spaced time points is crucial for accurate analysis. I’ve found that many of my experiments require data points that are:

• Evenly distributed across a time window
• Properly spaced for consistent analysis
• Flexible enough to handle different sampling rates
• Random in their starting point to avoid bias

The Implementation

I created a Time Range generator that produces timestamps based on a 2-hour window. Here’s what I considered:

• Default 2-hour time window
• Even distribution of points across the window
• Random starting point within a reasonable range
• Support for various numbers of data points

Here’s how I implemented this in Data Diluvium: