IMU data example #9102
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IMU data example #9102
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oxkitsune
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| imu_data = pd.read_csv( | ||
| cwd / DATASET_NAME / "dso/imu.txt", | ||
| sep=" ", | ||
| header=0, | ||
| names=["timestamp", "gyro.x", "gyro.y", "gyro.z", "accel.x", "accel.y", "accel.z"], | ||
| comment="#", | ||
| ) | ||
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| times = rr.TimeNanosColumn("timestamp", imu_data["timestamp"]) | ||
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| gyro = imu_data[["gyro.x", "gyro.y", "gyro.z"]] | ||
| rr.send_columns("/gyroscope", indexes=[times], columns=rr.Scalar.columns(scalar=gyro)) | ||
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| accel = imu_data[["accel.x", "accel.y", "accel.z"]] | ||
| rr.send_columns("/accelerometer", indexes=[times], columns=rr.Scalar.columns(scalar=accel)) |
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Could be nice to bring this snippet out into the README to highlight for users that are browsing on the website
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Related
Closes #9023
What
Adds an example showcasing how to log multi-dimensional signals using
send_columnsimu.mp4