Check the time axis and units of a test CSV first
Check units, missing values, finite numbers, and duplicate or reversed timestamps in synthetic demonstration data, then save the check results and a chart.
Explore time axes, units, and comparison conditions with synthetic demonstration data.
Step by step, with examples
Check units, missing values, finite numbers, and duplicate or reversed timestamps in synthetic demonstration data, then save the check results and a chart.
Validate three synthetic demonstration CSV files, then overlay curves that share the same time samples and acceleration units on one chart.
If you only put peak stress numbers side by side, differences in mesh, output interval, and evaluation location can look like design changes. Build a comparison condition table from synthetic cases and record the numerical difference together with the range you can actually judge.
Apply a three-sample trailing moving average to synthetic acceleration data, verify every filtered value by hand, and make the filter's one-sample alignment delay explicit. The original CSV remains unchanged and the processed data is written to a new folder.
Convert synthetic vehicle speed and acceleration data into consistent SI units, then convert the results back to check the arithmetic. The script preserves the original CSV and writes the converted values to a new output folder.
Use NumPy FFT on a synthetic vibration signal with a known 2 Hz component, inspect the frequency bins, and verify that the detected dominant frequency matches the input. The original CSV remains unchanged and the spectrum is written to a new output folder.
Try a short search term such as CSV or AI.
All examples are for practice. Automotive data is synthetic and used for illustration.