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goob10000
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Jan 9, 2026
| if np.nanmean(diffs >= 0) > 0.9: | ||
| return df, c | ||
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| dt = 0.02 |
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Where does this fixed time value come from?
goob10000
commented
Jan 9, 2026
| ) | ||
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| if gps_valid_col and gps_valid_col in df.columns: | ||
| inside_expr = inside_expr & (pl.col(gps_valid_col) != 0) & pl.col(lat_col).is_not_null() & pl.col(lon_col).is_not_null() |
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Because of the varying time value of CAN data it may be better to fill in the data that's missing rather than just dropping nulls. I am curious though, what success have you had with this?
…r, and total loss
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