Fix timestamp conversion in estimate_rr_interval to use pandas datetime method#116
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Pedro Ferreira (Pedro-Filipe)
June 17, 2026 19:52
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Pull request overview
This PR updates estimate_rr_interval to convert acquisition timestamps using a pandas datetime accessor rather than directly casting to int64.
Changes:
- Switch timestamp conversion to
Series.dt.as_unit("ms")before converting to integers.
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| if not (data["acquisition_date_time"] == "None").all(): | ||
| # convert time to miliseconds | ||
| time_stamps = data["acquisition_date_time"].astype(np.int64) / int(1e6) | ||
| time_stamps = data["acquisition_date_time"].dt.as_unit("ms").astype(np.int64) |
Comment on lines
528
to
+530
| if not (data["acquisition_date_time"] == "None").all(): | ||
| # convert time to miliseconds | ||
| time_stamps = data["acquisition_date_time"].astype(np.int64) / int(1e6) | ||
| time_stamps = data["acquisition_date_time"].dt.as_unit("ms").astype(np.int64) |
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